231 research outputs found
A Practical Searchable Symmetric Encryption Scheme for Smart Grid Data
Outsourcing data storage to the remote cloud can be an economical solution to
enhance data management in the smart grid ecosystem. To protect the privacy of
data, the utility company may choose to encrypt the data before uploading them
to the cloud. However, while encryption provides confidentiality to data, it
also sacrifices the data owners' ability to query a special segment in their
data. Searchable symmetric encryption is a technology that enables users to
store documents in ciphertext form while keeping the functionality to search
keywords in the documents. However, most state-of-the-art SSE algorithms are
only focusing on general document storage, which may become unsuitable for
smart grid applications. In this paper, we propose a simple, practical SSE
scheme that aims to protect the privacy of data generated in the smart grid.
Our scheme achieves high space complexity with small information disclosure
that was acceptable for practical smart grid application. We also implement a
prototype over the statistical data of advanced meter infrastructure to show
the effectiveness of our approach
Structure-based self-supervised learning enables ultrafast prediction of stability changes upon mutation
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LiDAR-Forest Dataset: LiDAR Point Cloud Simulation Dataset for Forestry Application
The popularity of LiDAR devices and sensor technology has gradually empowered
users from autonomous driving to forest monitoring, and research on 3D LiDAR
has made remarkable progress over the years. Unlike 2D images, whose focused
area is visible and rich in texture information, understanding the point
distribution can help companies and researchers find better ways to develop
point-based 3D applications. In this work, we contribute an unreal-based LiDAR
simulation tool and a 3D simulation dataset named LiDAR-Forest, which can be
used by various studies to evaluate forest reconstruction, tree DBH estimation,
and point cloud compression for easy visualization. The simulation is
customizable in tree species, LiDAR types and scene generation, with low cost
and high efficiency.Comment: 5 page
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