Xanadu offers a scalable big data solution with features like data deduplication, replication, and real-time analytics, facilitating effective management in both cloud and enterprise settings. Its content-based image retrieval (CBIR) system enhances the identification of astronomical objects by comparing new images with existing database records, significantly improving research processes. Additionally, Xanadu's architecture supports integration with other big data systems and employs deep learning for automated galaxy classification.

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Xanadu Based
Big Data CBIR System:
Automated Astronomical Objects
Classification & Identification
1Q 2018
Alex G. Lee (alexglee@xanadubigdata.com)

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Index for Part I: Xanadu Introduction
-Xanadu Functionality
-Xanadu Performance BMT
-Xanadu based Big Data Archive
-Xanadu Big Data Deep Learning Integration

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Xanadu provides Resilient, Durable, Scalable, Consistent Distributed Big
Data Database. Xanadu enables competitive big data management in the
Clouds or Enterprises
Xanadu Functionality
K
AnyTypes&SizeofData
NoSQL Database
Data De-duplication
Data Replication
Massively Scalable Fault Tolerance
Data Store
NoSQL
Database
ACID Compliance
High
Throughput
Low Latency
Data
Access

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Xanadu Performance BMT

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Deduplication functionality reduces the actual storage footprint by recognizing
duplicate data and maintaining only as many copies as it needs to assure its
availability.
Time stamping functionality provides inherent (built-in) backup of the database.
ACID compliance guarantees reliable and consistent data update even in the face
of the storage failure.
Xanadu enables a high speed data querying archive system with massive
scalability.
Xanadu provides database for real time big data analytics.
Xanadu provides intra/inter enterprise collaborative data sharing platform.
Xanadu based Big Data Archive

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Xanadu provides a composable architecture that can be integrated with
other big data systems: Xanadu can be integrated with Hadoop based Big
Data Deep Leaning on Local Machines & AWS Clusters.
Xanadu Big Data Deep Learning Integration
+
Total Integration
Big Data
Applications
Big Data
IT Infrastructure
Xanadu
Data Management
Platform
GPS /
GLONASS
WCDMA /
LTE
+

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Index for Part II: Xanadu Based Medical CBIR System
-Content Based Image Retrieval (CBIR) System
-Xanadu based Astronomical CBIR System
-Automated Galaxy Type Classification
-Xanadu based Astronomical CBIR System Demo for Galaxy
Identification using 4458 Images in EFIGI Catalogue

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CBIR is a way of searching image database using visual features of an
image as a search term to find images that share the similar visual features.
Content Based Image Retrieval (CBIR) System
source: http://www.sciencedirect.com/science/article/pii/S0925231217308445

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As astronomy has become an immensely data-rich field, techniques
to automate the search a huge volumes of data are needed for speeding up
research process.
For some astronomical objects, assessment of pre-researched records in the
database is sufficient for quick and accurate identification. By comparing a new
astronomical images to similar images available in the database, it becomes
easier for researchers to identify a nature of the new astronomical images.
As the number of records in the database increases, the database can become
comprehensive and exhaustive resulting into an improvement in accuracy of an
identification based on the database.
Xanadu based CBIR system provides a scalable and efficient architecture that
enables archiving of such large number of records that allows quick retrieval of
relevant records on demand at a low cost.
Xanadu based Astronomical CBIR System

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Deep learning can be used for automating galaxy type classification
Automated Galaxy Classification

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Xanadu based Astronomical CBIR System Demo for Galaxy
Identification using 4458 Images in EFIGI Catalogue

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Thank you
Xanadu Big Data, LLC