1,215 research outputs found
Is Heisenberg's uncertainty principle universal?
No full textHeisenberg’s uncertainty principle is a founding pillar of quantum mechanics. This paper questions the foundations of the quantum mechanics with a thought experiment. The author has come up with this experiment and have found out that there are some anomalies in quantum measurement. Contact Linkedin: https://www.linkedin.com/in/shubham-ambokar-10528b170/To reach out to me: https://www.linkedin.com/in/shubham-ambokar-10528b170
MC2021 Submission: Narsimha
No full textSubmission to model counting competition 2021 for all the tracks by Mate Soos, Roland Yap, Shubham Sharma, Subhajit Roy, Yong Lai, Zhenghang, and Kuldeep S. Meel (NUS group). Narsimha is based on our probabilistic exact counter Ganak (https://github.com/meelgroup/ganak), exact model counter ExactMC (https://github.com/meelgroup/KCBox) and approximate model counter ApproxMC (https://github.com/meelgroup/approxmc)
sj-docx-1-pie-10.1177_09544089231159834 - Supplemental material for Lean, green, and smart manufacturing: An ingenious framework for enhancing the sustainability of operations management on the shop floor in industry 4.0
No full textSupplemental material, sj-docx-1-pie-10.1177_09544089231159834 for Lean, green, and smart manufacturing: An ingenious framework for enhancing the sustainability of operations management on the shop floor in industry 4.0 by Varun Tripathi, Somnath Chattopadhyaya, A K Mukhopadhyay, Shubham Sharma, Vineet Kumar, Changhe Li and Sunpreet Singh in Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering</p
ROLE OF VARIOUS SEEDS IN THE TREATMENT OF POLYCYSTIC OVARIAN SYNDROME (PCOS)
No full textJobanpreet Kaur*, Himani Dhiman, Riya Thakur, Shubham Sharma andSonia Kau
Impact of authentic happiness on emotional intelligence among Indians in late adolescence
No full textDr. Savita K Tiwari , Shubham Sharma , Akshyata Ra
Sparse Channel Estimation for Visible Light Optical OFDM Systems Relying on Bayesian Learning
No full textSparse multipath channel impulse response (CIR) estimation schemes are conceived for optical orthogonal frequency division multiplexing (O-OFDM) visible light communication (VLC) systems. We commence by deriving the input-output models for both asymmetrically clipped optical OFDM (ACOOFDM) and direct current-biased optical OFDM (DCO-OFDM) systems. A multipath CIR model is derived that captures both the diffusive as well as specular reflections of the VLC channel. Next, we introduce both the sparsity-agnostic conventional least square (LS) and the linear minimum mean square error (LMMSE) channel estimation (CE) techniques. This is followed by the orthogonal matching pursuit (OMP)-based sparse recovery technique, which exploits the delay-domain sparsity of the CIR. Furthermore, a novel sparse multipath CIR estimation scheme is proposed using the Bayesian learning (BL) framework, which requires only a limited number of pilot subcarriers, hence resulting in a reduced pilot overhead as compared to other state-of-the-art (SoA) CE techniques. The Bayesian Cramer Rao lower bound (BCRLB) as well as the Oracle-minimum mean squared error (O-MMSE) estimator are also derived for benchmarking the estimation performance of the proposed BL-based framework. Our simulation results demonstrate that the proposed BL method outperforms other existing sparse and conventional CE methods in terms of various metrics, such as the normalized mean-square-error (NMSE), the outage probability (OP), and the bit error-rate (BER) despite its reduced pilot overhead
Efficient Computation for Localization and Navigation System for a Differential Drive Mobile Robot in Indoor and Outdoor Environments
No full textMultiple measurement vector based Bayesian learning for simultaneously sparse time/delay-domain channel estimation in ADO-OFDM visible light systems
No full textA multipath channel impulse response (CIR) estimator is proposed by leveraging the simultaneous sparsity inherent in the multipath CIR across multiple measurement vectors (MMV) for asymmetrically clipped direct current-biased optical OFDM (ADO-OFDM) visible light communication (VLC) systems. A comprehensive multipath CIR model is developed to account for both specular and diffusive reflections encountered in the VLC propagation environment. We begin by formulating the system model of the ADO-OFDM-VLC system. Following this, we briefly revisit the traditional linear minimum mean square error (LMMSE) and least squares (LS) channel estimators, along with the class of compressive sensing (CS)-based channel estimation (CE) schemes. Specifically, the FOCal Underdetermined System Solver (FOCUSS), its MMV-based extension (MFOCUSS), and orthogonal matching pursuit (OMP) algorithms are considered, as they effectively exploit the sparsity structure present in the multipath CIR of VLC channels. Furthermore, we introduce an enhanced estimation technique—namely, the simultaneous sparse OMP (SOMP)—which effectively utilizes the simultaneous sparsity observed in the delay-domain CIR across MMVs, particularly relevant to the non-line-of-sight (NLoS) components of the VLC channel. In addition, an advanced MMV-based Bayesian learning (MBL) framework is proposed to further reduce pilot overhead by exploiting both time and delay-domain sparsity of the CIR. For benchmarking, the Oracle-based minimum mean square error (O-MMSE), Oracle-based LS (O-LS), and the Bayesian Cramér-Rao lower bound (BCRLB) are utilized. Simulation results confirm that the proposed MMV-based MBL approach significantly outperforms conventional LS, LMMSE, and existing CS-based techniques, including OMP, SOMP, FOCUSS, MFOCUSS, and Bayesian learning (BL) methods, in terms of normalized mean square error (NMSE), pilot overhead, bit error rate (BER), and outage probability (OP)
BEAVIS: Balloon Enabled Aerial Vehicle for IoT and Sensing
No full textUAVs are becoming versatile and valuable platforms for various applications. However, the main limitation is their flying time. We present BEAVIS, a novel aerial robotic platform striking an unparalleled trade-off between the maneuverability of drones and the long-lasting capacity of blimps. BEAVIS scores highly in applications where drones enjoy unconstrained mobility yet suffer from limited lifetime. A nonlinear flight controller exploiting novel, unexplored, aerodynamic phenomena to regulate the ambient pressure and enable all translational and yaw degrees of freedom is proposed without direct actuation in the vertical direction. BEAVIS has built-in rotor fault detection and tolerance. We explain the design and the necessary background in detail. We verify the dynamics of BEAVIS and demonstrate its distinct advantages, such as agility, over existing platforms including the degrees of freedom akin to a drone with 11.36× increased lifetime. We exemplify the potential of BEAVIS to become an invaluable platform for many applications
Effect of struts and central tower on aerodynamics and aeroacoustics of vertical axis wind turbines using mid-fidelity and high-fidelity methods
No full textThis study investigates the impact of struts and a central tower on the aerodynamics and aeroacoustics of Darrieus Vertical Axis Wind Turbines (VAWTs) at chord-based Reynolds numbers of 8.12 × 104. A 2-bladed H-Darrieus VAWT is used, featuring a 1.5m diameter, a solidity of 0.1 and a blade cross-section of symmetrical NACA 0021. The turbine design is kept simple and straight-bladed which is essential for isolating and analyzing the specific effects of struts and a tower. The high-fidelity Lattice Boltzmann Method (LBM) in PowerFLOW 6-2020 and the mid-fidelity Lifting Line Free Vortex Wake (LLFVW) method in QBlade 2.0 are employed, with the mid-fidelity method providing a faster analytical tool for insights into the turbine performance. Firstly, both the LLFVW (mid-fidelity) and LBM (high-fidelity) methods effectively capture the general trends observed in VAWT power performance. However, the former predicts mean thrust values that are approximately 10% higher, and mean torque values that are approximately 19% higher, in comparison to the latter. Subsequently, the former predicts lower streamwise wake velocities relative to those predicted by the latter. These differences increase in configurations that include struts and a tower (to 30% - 31%). Secondly, the presence of struts and a tower leads to a reduction in both mean power (by 15% to 55%) and thrust (by 3% to 3.6%), with a further small decrease observed when doubling the tower diameter (power and thrust both by 0.5% to 3%). The struts predominantly affect the spanwise distribution of blade loading, while the tower impacts the azimuthal variation of blade loading. Additionally, the addition of struts and a tower reduces low-frequency noise (50-200 Hz) while increasing high-frequency noise (> 300 Hz). The observed decrease in mean blade loading results in reduced low-frequency noise, while the increase in high-frequency noise is ascribed to the increased intensity of BWI/BVI leading to higher unsteady loading fluctuations on blades.Wind Energ
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