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Data collection, processing, and database management
Published in Zongzhi Li, Transportation Asset Management, 2018
Database design is usually divided into three major activities: conceptual data modeling, logical database design, and physical database design. Conceptual data modeling aims to describe what the GIS database needs to do, what data contents are required conceptually, and how the logical and physical processes will be handled. Logical database design is translation of the conceptual database model into the data model of a specific software system. Physical database design represents the logical data model in the schema of the software.
Computerized Food Warehouse Automation
Published in Gauri S. Mittal, Computerized Control Systems in the Food Industry, 2018
J. Pemberton Cyrus, Lino R. Correia
Database design is the specification of a database structure that allows production of all outputs as specified in the user requirements. This design is detailed within the confines of a data model. The relational data model is the most popular at present, because of its simplicity and power. A good database design will eliminate certain types of errors, referred to as anomalies in the relational database jargon, and minimize data redundancy. Pratt and Adamski [23] is a good introductory text on database design.
Smartphone-based parking guidance algorithm and implementation
Published in Journal of Intelligent Transportation Systems, 2021
Hongyan Gao, Qian Yun, Rundong Ran, Jun Ma
The databases of parking guidance system include traffic information database, parking management database, map database, etc. Generally, the database design process consists of four phases: requirements elicitation, conceptual schema design, logical schema design, and physical schema design. This paper only presents the database design process for parking management.