Object persistence in heterogeneous databases

1994 ◽  
Vol 5 (4) ◽  
pp. 96-101
Author(s):  
Paul J. Richards
Keyword(s):  
Heterogeneous Databases ◽  
Object Persistence

The Role of Surface Color Feature Cue in Object Persistence under Two Different Spatiotemporal Conditions

2013 ◽  
Vol 45 (6) ◽  
pp. 649-657
Author(s):  
Baihua XU ◽  
Yuming LI ◽  
Xiangyu CUI
Keyword(s):  
Surface Color ◽  
Object Persistence ◽  
Color Feature

scholarly journals Unified SQL Query Middleware for Heterogeneous Databases

2021 ◽  
Vol 1873 (1) ◽  
pp. 012065
Author(s):  
Huiran Zhang ◽  
Cheng Zhang ◽  
Rui Hu ◽  
Xi Liu ◽  
Dongbo Dai
Keyword(s):  
Heterogeneous Databases ◽  
Sql Query

Designing an architecture for improving web query processing in heterogeneous databases access

2011 ◽  
Author(s):  
Mohd Kamir Yusof ◽  
Ahmad Faisal Amri Abidin ◽  
Surayati Usop ◽  
Sufian Mat Deris
Keyword(s):  
Query Processing ◽  
Heterogeneous Databases

Entity matching in heterogeneous databases: A logistic regression approach

2008 ◽  
Vol 44 (3) ◽  
pp. 740-747 ◽  
Author(s):  
Debabrata Dey
Keyword(s):  
Logistic Regression ◽  
Heterogeneous Databases ◽  
Entity Matching ◽  
Regression Approach

scholarly journals Finger-Vein Recognition Using Heterogeneous Databases by Domain Adaption Based on a Cycle-Consistent Adversarial Network

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 524
Author(s):  
Kyoung Jun Noh ◽  
Jiho Choi ◽  
Jin Seong Hong ◽  
Kang Ryoung Park
Keyword(s):  
Domain Adaptation ◽  
Recognition Accuracy ◽  
Recognition System ◽  
Heterogeneous Databases ◽  
Second Best ◽  
Finger Vein ◽  
Adversarial Network ◽  
Image Characteristics ◽  
Vein Recognition ◽  
Finger Vein Recognition

The conventional finger-vein recognition system is trained using one type of database and entails the serious problem of performance degradation when tested with different types of databases. This degradation is caused by changes in image characteristics due to variable factors such as position of camera, finger, and lighting. Therefore, each database has varying characteristics despite the same finger-vein modality. However, previous researches on improving the recognition accuracy of unobserved or heterogeneous databases is lacking. To overcome this problem, we propose a method to improve the finger-vein recognition accuracy using domain adaptation between heterogeneous databases using cycle-consistent adversarial networks (CycleGAN), which enhances the recognition accuracy of unobserved data. The experiments were performed with two open databases—Shandong University homologous multi-modal traits finger-vein database (SDUMLA-HMT-DB) and Hong Kong Polytech University finger-image database (HKPolyU-DB). They showed that the equal error rate (EER) of finger-vein recognition was 0.85% in case of training with SDUMLA-HMT-DB and testing with HKPolyU-DB, which had an improvement of 33.1% compared to the second best method. The EER was 3.4% in case of training with HKPolyU-DB and testing with SDUMLA-HMT-DB, which also had an improvement of 4.8% compared to the second best method.

Universal Data Warehousing Based on a Meta-Data Modeling Approach

2003 ◽  
Vol 12 (03) ◽  
pp. 325-363 ◽  
Author(s):  
Joseph Fong ◽  
Qing Li ◽  
Shi-Ming Huang
Keyword(s):  
Data Warehouse ◽  
Data Warehousing ◽  
Object Oriented ◽  
Data Models ◽  
Heterogeneous Databases ◽  
Materialized Views ◽  
Prototype System ◽  
Relational View ◽  
Metadata Model ◽  
Star Schema

Data warehouse contains vast amount of data to support complex queries of various Decision Support Systems (DSSs). It needs to store materialized views of data, which must be available consistently and instantaneously. Using a frame metadata model, this paper presents an architecture of a universal data warehousing with different data models. The frame metadata model represents the metadata of a data warehouse, which structures an application domain into classes, and integrates schemas of heterogeneous databases by capturing their semantics. A star schema is derived from user requirements based on the integrated schema, catalogued in the metadata, which stores the schema of relational database (RDB) and object-oriented database (OODB). Data materialization between RDB and OODB is achieved by unloading source database into sequential file and reloading into target database, through which an object relational view can be defined so as to allow the users to obtain the same warehouse view in different data models simultaneously. We describe our procedures of building the relational view of star schema by multidimensional SQL query, and the object oriented view of the data warehouse by Online Analytical Processing (OLAP) through method call, derived from the integrated schema. To validate our work, an application prototype system has been developed in a product sales data warehousing domain based on this approach.

Study on Coordination of Heterogeneous Databases

2014 ◽  
Vol 608-609 ◽  
pp. 336-342
Author(s):  
Huan Liu
Keyword(s):  
Hot Spot ◽  
Computer Software ◽  
Heterogeneous Databases ◽  
Important Research ◽  
Heterogeneous Database ◽  
New Techniques ◽  
Directory Service ◽  
New Development ◽  
Development Direction ◽  
New Applications

How to coordinate heterogeneous database to realize sharing and consistency of information not only is an important research subject in the database filed, but also is an emerging research hot spot in the field of database system. As a new development direction of computer software, it applies some new techniques to integrate the existing systems to develop new applications. The paper analyzes CSCW, XML, JDBC and heterogeneous database, and proposes a solution of heterogeneous database. The solution absorbs the thoughts of database meta data, middle ware and LDAP directory service.

Sign in / Sign up

Export Citation Format

Share Document