Semantics of time-varying attributes and their use for temporal database design

1995 ◽  
pp. 366-377 ◽  
Author(s):  
Christian S. Jensen ◽  
Richard T. Snodgrass
Keyword(s):  
Database Design ◽  
Time Varying ◽  
Temporal Database

An efficient temporal database design method based on EER

2007 ◽  
Author(s):  
Zhi Liu ◽  
Jiping Huang ◽  
Hua Miao
Keyword(s):  
Design Method ◽  
Database Design ◽  
Temporal Database

Managing Temporal Data

2009 ◽  
pp. 28-36 ◽  
Author(s):  
Abdullah Uz Tansel
Keyword(s):  
Relational Databases ◽  
Handling Time ◽  
Current Data ◽  
Temporal Databases ◽  
Time Varying ◽  
Temporal Data ◽  
Temporal Database ◽  
Organizational Intelligence ◽  
Relational Data Model ◽  
Future Data

In general, databases store current data. However,the capability to maintain temporal data is a crucial requirement for many organizations and provides the base for organizational intelligence. A temporal database maintains time-varying data, that is, past, present, and future data. In this chapter, we focus on the relational data model and address the subtle issues in modeling and designing temporal databases. A common approach to handle temporal data within the traditional relational databases is the addition of time columns to a relation. Though this appears to be a simple and intuitive solution, it does not address many subtle issues peculiar to temporal data, that is, comparing database states at two different time points, capturing the periods for concurrent events and accessing times beyond these periods, handling multi-valued attributes, coalescing and restructuring temporal data, and so forth, [Gadia 1988, Tansel and Tin 1997]. There is a growing interest in temporal databases. A first book dedicated to temporal databases [Tansel at al 1993] followed by others addressing issues in handling time-varying data [Betini, Jajodia and Wang 1988, Date, Darwen and Lorentzos 2002, Snodgrass 1999].

Managing Temporal Data

2011 ◽  
pp. 1461-1469
Author(s):  
Abdullah Uz Tansel
Keyword(s):  
Relational Databases ◽  
Handling Time ◽  
Current Data ◽  
Temporal Databases ◽  
Time Varying ◽  
Temporal Data ◽  
Temporal Database ◽  
Organizational Intelligence ◽  
Relational Data Model ◽  
Future Data

In general, databases store current data. However,the capability to maintain temporal data is a crucial requirement for many organizations and provides the base for organizational intelligence. A temporal database maintains time-varying data, that is, past, present, and future data. In this chapter, we focus on the relational data model and address the subtle issues in modeling and designing temporal databases. A common approach to handle temporal data within the traditional relational databases is the addition of time columns to a relation. Though this appears to be a simple and intuitive solution, it does not address many subtle issues peculiar to temporal data, that is, comparing database states at two different time points, capturing the periods for concurrent events and accessing times beyond these periods, handling multi-valued attributes, coalescing and restructuring temporal data, and so forth, [Gadia 1988, Tansel and Tin 1997]. There is a growing interest in temporal databases. A first book dedicated to temporal databases [Tansel at al 1993] followed by others addressing issues in handling time-varying data [Betini, Jajodia and Wang 1988, Date, Darwen and Lorentzos 2002, Snodgrass 1999].

The role of context in decision making: some implications for database design

1997 ◽  
Vol 6 (2) ◽  
pp. 122-128
Author(s):  
D J Grimshaw ◽  
P L Mott ◽  
S A Roberts
Keyword(s):  
Decision Making ◽  
Database Design

Database design by computer-aided schema transformations

1995 ◽  
Vol 10 (4) ◽  
pp. 125 ◽  
Author(s):  
Patrick van Bommel
Keyword(s):  
Database Design ◽  
Computer Aided

Perancangan dan Pembuatan Aplikasi Pendeteksi Kesalahan Penempelan Barcode pada Kemasan Produk Menggunakan Sistem Arduino Uno dan Sistem Komputasi (Studi Kasus PT. Duta Nichirindo Pratama)

2020 ◽  
Vol 5 (1) ◽  
pp. 78
Author(s):  
Ade Sumaedi ◽  
Makhsun Makhsun ◽  
Achmad Hindasyah
Keyword(s):  
Unified Modeling Language ◽  
Database Design ◽  
Black Box ◽  
Design System ◽  
Modeling Language ◽  
Unified Modeling ◽  
Uml Diagrams ◽  
Arduino Uno ◽  
Menu Design ◽  
A Company

PT. Duta Nichirindo Pratama is a company engaged in the field of Autoparts Manufacture. Barcode is the identity of an item / product on the package. Barcode technology has been used as the identity of goods in a production. Barcodes are used to facilitate the identification of goods produced. Paste the barcode on the packaging of packaging results at PT. Duta Nichirindo Pratama is done manually, but there are often errors attached to the barcode on a similar packaging. This research will design and create a system based on Visual Basic.Net and Arduino to select barcode attachment errors that have the potential to be sent to consumers. The system is designed using Unified Modeling Language (UML) diagrams, database design and interface menu design. The system created will then be tested to detect the black box test. With a computing-based design system that functions to detect barcodes on the packaging automatically, the problem of sticking barcodes on the packaging can be detected.

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