Recently, direction of arrival (DOA) estimation premised on the sparse arrays interpolation approaches, such as co-prime arrays (CPA) and nested array, have attained extensive attention because of the effectiveness and capability of providing higher degrees of freedom (DOFs). The co-prime array interpolation approach can detect O(MN) paths with O(M + N) sensors in the array. However, the presence of missing elements (holes) in the difference coarray has limited the number of DOFs. To implement co-prime coarray on subspace based DOA estimation algorithm namely multiple signal classification (MUSIC), a reshaping operation followed by the spatial smoothing technique have been presented in the literature. In this paper, an active coarray interpolation (ACI) is proposed to efficiently recovering the covariance matrix of the augmented coarray from the original covariance matrix of source signals with no vectorizing and spatial smoothing operation; thus, the computational complexity reduces significantly. Moreover, the numerical simulations of the proposed ACI approach offers better performance compared to its counterparts.
The security of Internet of Things (IoT) is a challenging task for researchers due to plethora of IoT networks. Side Channel Attacks (SCA) are one of the major concerns. The prime objective of SCA is to acquire the information by observing the power consumption, electromagnetic (EM) field, timing analysis, and acoustics of the device. Later, the attackers perform statistical functions to recover the key. Advanced Encryption Standard (AES) algorithm has proved to be a good security solution for constrained IoT devices. This paper implements a simulation model which is used to modify the AES algorithm using logical masking properties. This invariant of the AES algorithm hides the array of bits during substitution byte transformation of AES. This model is used against SCA and particularly Power Analysis Attacks (PAAs). Simulation model is designed on MATLAB simulator. Results will give better solution by hiding power profiles of the IoT devices against PAAs. In future, the lightweight AES algorithm with false key mechanisms and power reduction techniques such as wave dynamic differential logic (WDDL) will be used to safeguard IoT devices against side channel attacks by using Arduino and field programmable gate array (FPGA).
Wind energy is one of the most important renewable energies since it reduces environmental pollution. Darrieus VAWTs with straight-bladed are more prevalent in small-scale power generation due to their simple blade design and easy construction. The investigation of the performance of VAWTs is a topic that is fascinating for Researchers to look into. Researchers have paid special attention to the Double Multiple Stream Tube (DMST) model for VAWT simulation because of the good correlation between the DMST model and the experimental results. In this paper Double Multiple Stream Tube analysis using Matlab programing to predict the aerodynamic performance of H-type Darrieus fixed pitch VAWT, More specifically, the power coefficient (Cp) and the tip speed ratio (TSR). The fact that an H-type Darrieus rotor has poor self-starting despite having a good power coefficient which is a constant worry at low wind speeds. Selection of the airfoil is one of the most essential factors to take into account while trying to enhancement the aerodynamic performance of H-type Darrieus fixed pitch VAWT. In this study first, results from experiments were used for the validation of the model, and then, 4 different families of symmetrical airfoils compared. The results indicate that the symmetrical airfoil S-1046 showed exceptional aerodynamic performance and a high starting torque for a low wind speed of 4m/s.
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