scholarly journals THE METROLOGY AND THE BIM APPROACH: A NEW COGNITIVE PARADIGM ABOUT THE ANCIENT CONSTRUCTION

Author(s):  
P. Fiamma

Abstract. Nowadays, some important issues in the BIM field and research are still open, and are not deeply known and really understood yet by all the BIM users and approaches; unfortunately, this critical situation implies, often, incorrect approaches and ineffective applications, especially using BIM for existing historical building, where the object oriented approach has so many limitations. In fact, the current laser scanning technology can detect just a cloud of points that is considered "non-intelligent" according to the BIM method and meaning. The paper presents an important case study: the Cathedral of Piazza dei Miracoli (Miracles Square) in Pisa. The method we propose consists of an innovative procedure combining in a two-way manner the correspondence levels between metrology and ontology of the constructive components. The paper proves that is not important to obtain the best possible level of modeling performance. We need a specific BIM approach, for “a specific building”, according with “a specific project”. We believe that it is precisely in this capacity of matching between metrological and constructive knowledge (mediated by computer graphics technology) that it is possible to identify the response to an important programmatic indication in the BIM field: "how much BIM?". This sentence was explained by Charles Eastman (recognized worldwide as the father of BIM) during his "lectio magistralis" at the Master BIM of the University of Pisa (www.unibim.it). We guess this is the way to be free from any pre-established intervention standards, and so to be adapting to a specific construction for a specific intervention’s level using specific resources.

2015 ◽  
Vol 16 (2) ◽  
pp. 830-842 ◽  
Author(s):  
Scott Lee Sellars ◽  
Xiaogang Gao ◽  
Soroosh Sorooshian

Abstract This manuscript introduces a novel computational science approach for studying the impact of climate variability on precipitation. The approach uses an object-oriented connectivity algorithm that segments gridded near-global satellite precipitation data into four-dimensional (4D) objects (longitude, latitude, time, and intensity). These precipitation systems have distinct spatiotemporal properties that are counted, tracked, described, and stored in a searchable database. A case study of western United States precipitation systems is performed, demonstrating the unique properties and capabilities of this object-oriented database. The precipitation dataset used in the case study is the University of California, Irvine, Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks (PERSIANN) from 1 March 2000 to 1 January 2011. A search of the database for all western United States precipitation systems during this time period returns 626 precipitation systems as objects. By analyzing these systems as segmented objects, joint interactions of the selected climate phenomena 1) Arctic Oscillation (AO), 2) Madden–Julian oscillation (MJO), and 3) El Niño–Southern Oscillation (ENSO) on precipitation can be shown. They directly show the increased/decreased likelihood of having precipitation systems occurring over the western United States (monthly count) during phases of these climate phenomena. It is found that specific climate phenomena impact the monthly count of the events differently, and that the joint interaction of climate phenomena of the AO–MJO and AO–ENSO is important, especially during certain months of the year. It is also found that these interactions impact the physical features of the precipitation systems themselves.


Author(s):  
Tapio Korpela ◽  
Ari Heikkinen ◽  
Tatu Leinonen

Abstract Laboratory of Machine Design at the University of Oulu has modelled the production information for a gear transmission unit in co-operation with a Finnish gear manufacturer, Santasalo Ltd. The basic idea was to integrate computer aided design into modern FMS-based production activities. The main goal in this project is to capture the whole gear box development process from customer requirements to manufacturable assembly and detail information in OOA models.


Author(s):  
Fredrik Andersson ◽  
Patrik Nilsson ◽  
Hans Johannesson

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.


2012 ◽  
Vol 49 (No. 9) ◽  
pp. 397-406
Author(s):  
V. Merunka

BORM (Business Object Relationship Modelling) is a methodology developed to capture the knowledge of process-based business systems. It has been in development since 1993 and has proved an effective method, which is popular with both users and analysts. This paper presents BORM, its tools, and methods via a case study of the agrarian information system. BORM is based on the combination of object-oriented approach and process-based modelling. Also, an advantage of BORM is the small number of concepts required combined with a considerable expressiveness. In this way, BORM is in the tradition of pure approach established over the past years by structured modeling techniques.


DYNA ◽  
2020 ◽  
Vol 87 (215) ◽  
pp. 136-145
Author(s):  
Juan Ricardo Mancera Florez ◽  
Ivan Alberto Lizarazo Salcedo

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.


Author(s):  
Davide Zanichelli ◽  
Cristian Secchi ◽  
Riccardo Rubini ◽  
Cesare Fantuzzi ◽  
Marcello Bonfe` ◽  
...  

The advantages of object-oriented modeling, as modularity and reusability of components, are very important also for modeling manufacturing systems and not only for software development. In [1] a unified object-oriented approach for modeling both the logical and the physical part of a manufacturing machine has been proposed. In this paper we report an industrial application of this modeling strategy and the case study consists of the package forming unit of a filling machine for liquid food packaging, developed by Tetra Pak Carton Ambient S.p.a.


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