Proceedings A of Royal Society Journals
Authors: Hardik Chhabra, Nipun Raj, K.P.S. Rana, Vineet Kumar
This study introduces a novel helically designed fiber optics system characterized by varying refractive indices, resulting in a distinct density distribution. The fiber exhibits a helical shape and features an asymmetrical Gradient-Index (GRIN) profile. By employing ray optics principles and the Helmholtz wave equation, the paper establishes the feasibility of light propagation within this unique fiber configuration, supported by accompanying simulations. The practical application of this fiber lies in optical delay applications. Furthermore, the study presents geometric and probability calculations, along with innovative strategies to mitigate transmission losses, providing a comprehensive exploration of the potential and optimization of this helical fiber optics system.
doi:10.1098/rspa.2023.0146
Journal of Advanced Medicine and Biology
Authors: Hardik Chhabra, Anubhav Chauhan
Conducting a time-series analysis, this study employs Autoregressive Integrated Moving Average (ARIMA) and Seasonal-ARIMA (SARIMA) machine learning methodologies to predict COVID-19-related lockdown periods. The focus lies in developing an efficient machine learning model characterized by rapid learning capabilities and reduced data computation requirements for training. The model is trained using a comprehensive dataset sourced from the World Health Organization (WHO), encompassing generalized attributes. Remarkably, the proposed model demonstrates the potential to achieve accurate lockdown predictions for over 170 nations, showcasing its robust forecasting capabilities in the context of global pandemic response.
doi:10.35248/2379-1764.23.11.399
Preprint
Authors: Arnav Talwar, Rishabh Sabharwal, Hardik Chhabra, Harshit Kumar
This project constitutes a collaborative endeavor aimed at examining and confirming the impact of COVID-19 lockdowns on atmospheric albedo within the region of Delhi. Utilizing remote sensing data derived from NASA's Terra satellite as an integral component of the Earth Observing System, the study delves into the analysis of this information. Through meticulous data analysis, a significant correlation has been established between the Earth's atmospheric albedo and the quantity of pollutant particles prevalent within the atmosphere. This investigation sheds light on the intricate interplay between lockdown measures and atmospheric phenomena, yielding valuable insights into the broader environmental implications of pandemic-related restrictions.
doi:10.21203/rs.3.rs-2552730/v1
2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Seoul
Authors: Hardik Chhabra, Abhinav Kumar, Monika Aggarwal, K.P.S. Rana
This paper presents a novel hybrid QKD protocol which mitigates the performance of DV-QKD and CV-QKD protocol. Investigation over the security of this protocol has been presented and compared against existing QKD protocols.
Status: Under Review
14th International Conference on Computing, Communication and Networking Technologies (ICCCNT), Delhi
Authors: Shivam Ahuja, Hardik Chhabra, Aarti Jain
This paper delves into the utilization of metaheuristic algorithms for the allocation of power coefficient values in 2-user Non-orthogonal Multiple Access (NOMA) systems. Employing methods such as Particle Swarm Optimization, Differential Evolution, Simulated Annealing, and Firefly Algorithm, the research explores their efficacy in this context. Among these algorithms, Differential Evolution stands out as the most optimal choice due to its efficient time utilization and precise allocation of power coefficients. The paper was presented at a conference held on July 6th-8th, 2023, hosted by IIT Delhi, with plans for publication in the near future.
doi: 10.1109/ICCCNT56998.2023.10306871
IEEE Journal of Communication & Networks
Authors: Shivam Ahuja, Hardik Chhabra, Aarti Jain
This paper introduces an innovative smart repeater technology aimed at augmenting both the security and performance aspects of the Power Domain-NOMA Communication System. Through thorough analysis, this approach has demonstrated superiority over existing Cooperative NOMA Systems, as evidenced by improved security outage probability and Bit Error Rate metrics. Notably, the utilization of the PageRank algorithm has enabled the allocation of joint and shared power allocation coefficients within the NOMA network, further contributing to the advancement of the proposed system.
Neural Computing and Applications Springer Journal
Authors: Shivam Ahuja, Hardik Chhabra, Aarti Jain
This paper presents an innovative approach to improving the efficiency and effectiveness of SSA algorithm, swarm intelligence metaheuristics algorithms, by levaraging machine learning. The study includes a comprehensive analysis of statistically significant outcomes, and determining both exploration and exploitation rates. The findings indicate that the utilization of machine learning led to a notable enhancement in convergence rate, coupled with a substantial reduction of over 50% in computational resources.
MDPI Journal on Sensors
Authors: Hardik Chhabra, Anubhav Chauhan
Introduced an innovative approach to crafting optimized collision avoidance antenna arrays through the integration of machine learning techniques. This array, comprising 8x8 microstrip antennas of varying dimensions, was strategically designed using a novel methodology. Specifically, the Tschebyshev distribution was harnessed to compute the ideal size for each antenna element, a value intricately linked to the respective distances from the feeding line of the array. This unique amalgamation of machine learning principles and mathematical distribution yielded an array configuration tailored for enhanced collision avoidance performance, showcasing a promising avenue for advanced antenna design.