Most of the hospitals store their patient's data locally and some even do not have any backup storage. This poses a real threat of data loss or data corruption. Although many hospitals are migrating to cloud storage, the clouds have their own threat vectors. Recently, various health care providers were hit by ransomware and Distributed Denial of Service attacks during the COVID‐19 outbreak. Due to these attacks, many emergency services were halted, affecting hundreds of thousands without any healthcare. Another problem with these traditional database practices is that they often misplace or mix the patient's data, which, needless to say, have severe complications. Many researchers are working on IPFS and Blockchain technology to improve the storage of medical records. This article presents a detailed study of the IPFS and Blockchain based healthcare secure storage solutions. It analyzes the existing solutions and their architecture, which will further facilitate the future research and development of emerging IPFS and Blockchain technologies.
In this paper we present a new technique for measuring
the three-dimensional
(3D) morphology of faceted crystals. This new technique is based on
the observation that a significant amount of regular reflection of
light happens from flat crystal faces. Innovative lighting and camera
arrangement is used to obtain the photograph of the crystal where
a face is highlighted by huge contrast from the background. Such photographs
are used to identify the location of the face corners using an in-house
method as well as with the well-known Harris corner detector. The
in-house method is found to be of comparable efficiency as the Harris
detector. Using a simple algorithm, the 3D face coordinates are generated
from the two-dimensional face coordinates. Finally, the 3D coordinates
of the corners are used to reconstruct the crystal. A consistency
check is employed during the reconstruction step which corrects for
any missing corner or inconsistent data.
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