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Information about healthcare is derived from healthcare data. Healthcare data sharing helps make healthcare systems more efficient as well as improving healthcare quality. Patients should own and control healthcare information, one of their most valuable assets, instead of letting data be spread out among health care providers differ. This protects data from being shared between healthcare systems and privacy. Public ledger accompanied by a decentralized network of peer's compromises patient has been demonstrated to be able to achieve trusted, auditable computing by blockchain. The use of access control and cryptographic primitives are insufficient in addressing modern cyber threats all privacy and security concerns associated with a cloud-based environment. In this paper, the authors proposed a lightweight blockchain technique based on privacy and security for healthcare data for the cloud system. The cost-effectiveness of our system's smart contracts is evaluated, as well as the procedures used for data processing in order to encrypt and pseudonymize patient data.

In this study, a fourth-generation DC-DC ZETA converter using two capacitors, two inductors fed switched reluctance motor drive is proposed for improving the power quality at front-end. The Zeta converter has received least attention as compared to other equivalent converter like pushpull, Cuk & SEPIC. A single phase sinusoidal ac supply followed by conventional DBR unit and a Zeta converter is used. The output of Zeta converter is applied to switched reluctance motor through MOSFET based machine converter. The opertaion of machine converter based on various feedback loops like torque, speed etc. The MATLAB simulation is employed to developed model to achieve a wide range of input voltage with improved power factor & low level of total harmonic distrotion (THD).

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