Application of Object-Oriented Approach to Large-Scale Sysem, a Case Study

Abstract This paper proposes a requirement and concept model based on a functional decomposition of mechanical systems. It is an object-oriented approach to integrate the representation of the design artefact and the design activity, through the decisions made during the design evolution. The requirements co-evolve simultaneously with the formation of the conceptual layout, through the opportunity to alter between function and physical/abstract solutions. This approach structures the design requirements and concepts in such a way that it supports the ability to document their sources, to allow for validation and verifications of both requirements and design solutions. First, the proposed model is presented from a theoretical viewpoint. Secondly, a methodology for modelling requirements and concepts in an object-oriented fashion is discussed. Finally, the model is implemented in METIS software and tested in a case study of an electric window winder on a truck door.

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Object-Oriented Approach for Urbanization Growth by Using Remote Sensing and GIS Techniques: A Case Study in Hilla City, Babylon Governorate, Iraq

The Urban Book Series - Geospatial Technology and Smart Cities ◽

10.1007/978-3-030-71945-6_3 ◽

2021 ◽

pp. 39-57

Author(s):

Ammar S. Mahmoud ◽

Bahareh Kalantar ◽

Husam A. H. Al-Najjar ◽

Hossein Moayedi ◽

Alfian Abdul Halin ◽

...

Keyword(s):

Remote Sensing ◽

Object Oriented ◽

Remote Sensing And Gis ◽

Gis Techniques ◽

Object Oriented Approach ◽

Oriented Approach

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The GSC-I and GSC-II Databases: An Object-Oriented Approach

Symposium - International Astronomical Union ◽

10.1017/s0074180900129353 ◽

1998 ◽

Vol 179 ◽

pp. 474-477 ◽

Cited By ~ 1

Author(s):

G. Greene ◽

B. McLean ◽

B. Lasker ◽

D. Wolfe ◽

R. Morbidelli ◽

...

Keyword(s):

Relational Databases ◽

Large Scale ◽

Object Oriented ◽

Joint Effort ◽

Current Generation ◽

Object Oriented Approach ◽

Guide Star ◽

Space Telescope Science Institute ◽

Object Oriented Database ◽

Oriented Approach

The original GSC-I (Jenkner et al. 1990) which contains 25 million entries and requires approximately 1GB of storage was at the edge of technological capability at the time catalogue construction began in 1984. At that time, a custom coded database was built since the relational databases of the era were unsuited to the HST-specific access requirements. A second generation GSC is now being constructed (Lasker et al. 1995), with an estimated 10 billion entries and a size of 2 Terabytes. The current generation of object-oriented database (OODB) systems are more suited to the needs of large astronomical catalogues and are being adopted by many large-scale projects. In a joint effort between the Space Telescope Science Institute and Osservatorio Astronomico di Torino, we are currently designing such an OODB for the Guide Star Catalogues and are implementing a prototype using the GSC-I data.

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Land cover classification at three different levels of detail from optical and radar Sentinel SAR data: a case study in Cundinamarca (Colombia)

DYNA ◽

10.15446/dyna.v87n215.84915 ◽

2020 ◽

Vol 87 (215) ◽

pp. 136-145

Author(s):

Juan Ricardo Mancera Florez ◽

Ivan Alberto Lizarazo Salcedo

Keyword(s):

Land Cover ◽

Object Oriented ◽

Radar Data ◽

Explanatory Variables ◽

Object Oriented Approach ◽

Single Data ◽

Sentinel 2A ◽

Thematic Accuracy ◽

Oriented Approach

In this paper, the potential of Sentinel-1A and Sentinel-2A satellite images for land cover mapping is evaluated at three levels of spatial detail; exploratory, reconnaissance, and semi-detailed. To do so, two different image classification approaches are compared: (i) a traditional pixel-wise approach; and (ii) an object–oriented approach. In both cases, the classification task was conducted using the “RandomForest” algorithm. The case study was also intended to identify a set of radar channels, optical bands, and indices that are relevant for classification. The thematic accuracy of the classifications displays the best results for the object-oriented approach to exploratory and recognition levels. The results show that the integration of multispectral and radar data as explanatory variables for classification provides better results than the use of a single data source.

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