Metasurface-supported dielectric multi-port antenna for 5 G n257/n258 mm-wave applications Ashutosh Gupta, Ankit Pandit, Sanjeev Kumar Gupta, Laxmi Singh Electromagnetics, 2026 This paper plans and inspects a MIMO dielectric resonator antenna operating in the millimeter-wave regime. Al2O3 dielectric is induced via slot coupling. Feed assembly is designed to create circular waves within the operating regime, i.e. 27.25–28.65 GHz. Orthogonal placement of antenna ports reduces the coupling level below −30 dB. A metasurface, having negative permittivity and permeability, is hanging over multi-port aerial to enhance the gain by around 11.5 dBi. The operating range is confirmed by experimental findings to be between 25.95 and 29.75 GHz. Broadsided far-field patterns and good MIMO parameters make the designed aerial appropriate for n257/n258 mm-wave 5 G communication bands.
Attention-driven BI-LSTM for Robust Human Activity Recognition and Classification in Disaster Scenarios Shreyas Pagare, Rakesh Kumar, S.K. Gupta Disaster Advances, 2025 Accurate and robust human activity recognition are essential for surveillance, healthcare and smart environment applications. However, the unpredictability and complexity of human motions provide significant challenges in obtaining the desired levels of accuracy and robustness. Conventional machine learning models such as Decision Tree, Gaussian NB and K Neighbors, have shown limited efficacy with accuracy estimates ranging from 78.3% to 89.3%. Cutting-edge techniques like Random Forest, RBF SVC and XGB Classifier achieve a maximum accuracy of 93.8%. We introduce a BI-LSTM model that focuses on the most important features using bi-directional long short-term memory networks with a special attention mechanism to address these limitations. The present model demonstrates exceptional performance, attaining an accuracy of 99.83%, a precision of 99.46%, a recall of 99.75% and an F1 score of 99.85%, thereby surpassing other approaches by a substantial margin. The obtained findings validate the model's resilience and effectiveness in precisely recognizing and categorizing human actions in different fields and situations.
Metasurface-Loaded Twin-Port Circularly Polarized Microstrip Array Antenna With High Gain and Isolation Features for mm-Wave-Based 5G Communication System Shashikant Verma, Ankit Pandit, Sanjeev Kumar Gupta International Journal of Communication Systems, 2025 In this article, a MIMO microstrip aerial in mm‐wave regime is structured and examined. A 1 × 2 array‐based structure is designed to get directional radiation beam, which in turn provides good gain value, that is, 10.2 dBi in mm‐wave regime. The use of defected ground structure (DGS) improves the impedance matching (more than 25 dB) of the proposed radiator. Metasurface is suspended over the twin port aerial for adding two important features: (i) reduction of mutual coupling between antenna ports, that is, less than −25 dB; and (ii) conversion of the linear waves into the circular one in between 30.45 and 30.95 GHz. Experimental measurement of designed radiator confirms that designed aerial works in between 30.4 and 31.5 GHz with separation level more than 25 dB. Stable field pattern and good diversity parameter confirms its employability for mm‐wave 5G communication system.
Energy conservation for environmental safety in wireless adhoc network Poorva Mishra, Sanjeev Kumar Gupta, Laxmi Singh Environment Conservation Journal, 2025 In wireless ad hoc networks (WANs), saving energy is critical because the batteries can only hold so much, and the networks need to keep working. These networks, comprising mobile nodes that communicate without centralized infrastructure, frequently encounter issues concerning energy efficiency and environmental safety. This research examines the importance of energy conservation in WANs, highlighting its effects on extending network longevity and minimizing the environmental impact of communication systems. The present work analyze many energy-efficient solutions, including power-aware routing, energy-efficient communication protocols, and sleep/wakeup mechanisms. The study emphasize the significance of energy harvesting methods and low-power hardware in achieving sustainable network operations. Integrating energy saving with network design and operation enables wireless ad hoc networks to balance effective communication and environmental sustainability. This study seeks to advance the creation of eco-friendly communication technologies that promote environmental sustainability while addressing the increasing need for wireless access.
Stabilization of Black Cotton Soil Using Red Mud and Gypsum S. S. Kushwaha, D. Kishan, S. K. Gupta Geotechnical Special Publication, 2025 This study looks into the best use of a certain Red Mud (RM) sample based on its geotechnical characteristics. The soil known as Black Cotton (BC) was stabilized using RM and gypsum in combination. Gypsum was added at intervals of 0.5%–1% of the dry weight of RM, and the RM content was adjusted between 10% and 20% at a 5% interval. The basic index and engineering properties of the unstabilized RM were examined prior to the main tests, which constitute the core of this study effort. These qualities were referred to as needed in the subsequent experimental works to meet the main goals of the proposed work. To find the ideal mix, every experiment was run on every mix. The California Bearing Ratio (CBR) and Unconfined Compressive Strength (UCS) were used to evaluate the strength characteristics of stabilized British Columbian soil. One-day and seven-day curing periods were used to examine every UCS property. The test results and analysis show that stabilization with appropriate proportioning and curing improves strength and durability properties. As a result, it may be utilized in a variety of geotechnical applications, such as mine filling, road building, embankments, dams, and reservoirs. As a result, it will have a less detrimental effect on the environment and demand less space for the disposal of red mud.
Efficient modeling of a two-terminal polarization convertor–loaded dielectric-built filtenna using ML algorithms Abhishek Kumar, Jitendra Ahir, Sanjeev Kumar Gupta International Journal of Microwave and Wireless Technologies, 2025 In this study, a metasurface (MS) polarization converter combined with a two-port dielectric antenna is constructed and studied. The feeding configuration, which consists of a printed line connected to an aperture, offers built-in filtering capabilities. In addition to converting linear to circular polarization between 2.49 and 3.25 GHz, the suspended MS layer enhances port isolation to less than −20 dB. In addition, the suggested radiator’s |S11| is projected using the Random Forest and XGBoost machine learning (ML) models, which demonstrate satisfactory agreement with simulation data. The antenna effectively functions over 2.33–3.35 GHz, demonstrating that it is a leading contender for sub-6 GHz 5G communication systems. Fabricated measurements support both simulation and ML predictions.
Design and Performance Analysis of a Wideband Microstrip Antenna for C. R. Applications Teena Raikwar, Jitendra Ahir, Sanjeev Kumar Gupta Microwave Review, 2025 This paper presents a microstrip antenna design and performance analysis tailored for cognitive radio (CR) applications operating over a wide frequency range from 4.1 GHz to 8.1 GHz.The antenna demonstrates excellent resonance characteristics, particularly at 7.9 GHz, and achieves a gain of 2.93 dBi.The antenna maintains a positive gain across the entire operational bandwidth, with an efficiency exceeding 75%.This high efficiency and positive gain ensure robust and reliable performance, which is essential for dynamic frequency sensing communication in CR systems.The simulated and measured results correlate with each other.
Carpet Shaped Microstrip Fractal Antenna for Multiband Applications Pavan Kumar Shandilya, Ankit Pandit, Sanjeev Kumar Gupta 3rd International Conference on Microwave Antenna and Communication Mac 2025, 2025 CS-MPA is proposed through fractal models lying on the piece presented. The CS-MPA observed the S11 is -35.99 dB, the VSWR is 1.03 at 6.54 GHz and the proposed antenna has 3.5 % impedance bandwidth (6.67 GHz - 6.44 GHz) achieved for iteration IV (Final). The antenna is planed and suggested using CST STUDIO SUITE 2018 and delivers a strong output response. It exhibits resonance at multiple frequency ranges: 3.26GHz, 6.54GHz, 9.78GHz, 10.93GHz, 13.60GHz and 16.45 GHz. which makes it suitable candidate for S-band, C-band, X- band, and Ku-band applications.
Metasurface Loaded Two-Port Circularly Polarized Microstrip Array Antenna with High Gain Features for mm-wave 5G Communication System Shashikant Verma, Ankit Pandit, Sanjeev Kumar Gupta Microwave Review, 2025 This paper describes the design and analysis of 2-port aperture coupled printed radiator.Stair formed slot creates the circular polarization characteristics from 30.75-31.25 GHz.Mirror orientation of slot provides the support of LHCP with port-1 and RHCP with port-2.Due to which, the isolation level is found to be more than 30 dB.Array based structure is utilised to create broadsided radiation pattern with a gain of 5.0 dBi.For further enhancing the gain value, a double negative metamaterial made metasurface is suspended over the two-port radiator.It enhances the gain level to more than 11.0 dBi.Experimental results confirm the efficient working of designed aerial in between 30.25-31.75GHz.Broadsided far-field pattern and low correlation coefficient confirms its applicability for 5G communication system in mm-wave regime.
Deep Learning Model for Privacy Preservation of Vehicle Trajectories Over Internet of Vehicles Nikhil Chaurasia, Pritaj Yadav, Sanjeev Kumar Gupta International Journal of Engineering Trends and Technology, 2024 This research presents a deep learning-based differential privacy Laplace mechanism (DLPM) for the networking trajectories of the Internet of Vehicles. The DLPM is constructed using deep learning and clustering techniques to address consumers’ privacy leakage concerns effectively. Segment the trajectory space into separate regions based on timestamps to incorporate the temporal element in trajectories. This will determine the trajectory’s distribution points inside each zone. Enhance membership stability in multi-peak clustering for each region and pre-allocate the privacy budget matrix based on the trajectory density of each area. Employ a temporal graph convolutional network model to train and predict the designated privacy budget matrix while extracting the spatiotemporal characteristics of trajectory data. Disseminate the trajectory data just after applying Laplace noise to the predictive outcomes. Both theoretical and empirical research indicate that DLPM exhibits reduced overhead and more precise privacy budget predictions than alternative systems. The Differential Privacy Laplace Mechanism (DLPM) incorporates Laplace noise into trajectory data, enhancing its use.
Study on Image Encryption Methods using Various Algorithms and Chaotic Map 15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
Analysis and Visualization of Cloud Data in Agriculture Using Supervised Learning Cloud Computing Infrastructure for Enabling Future Technology Advancement, 2022
Butterfly-PSO based energy efficient data analysis of wireless iot devices Mr. Satvik Khara, P. Saxena, Pro Vice Chancellor RNTU Raisen, India, Prof. Dr. Sitesh KumarSinha, Dept. of Computer Science & Engineering RNTU Raisen, India, et al. International Journal of Recent Technology and Engineering, 2019
