A VARIANT OF THE CONCEPTUAL SCHEMA OF THE GEODATA DATABASE WITH SUPPORT FOR REVERSIBLE GENERALIZATION CONNECTIVITY OF GEO OBJECT MODELS

Author(s):  
Elvira Locuratolo

ASSO, an innovative conceptual methodology which combines features of database design with the formal method B, has been defined in order to ensure the flexibility of semantic data models, the efficiency of object models and design correctness. Starting from a directed acyclic graph of classes supported by semantic data models, a formal mapping generates classes supported by object models. The classes supported by semantic data models are then extended with aspects of behavioural modelling: a relationship with the B model is established and the consistency proofs of the whole schema are reduced to small obligations of B. This chapter evidences how ASSO is based on model transformations. These have been introduced with various purposes: to map semantic data models to object models, to integrate static and dynamic modelling, to link formal and informal notations and to relate the conceptual schema and the logical schema of the methodology.


2010 ◽  
Vol 10 (5) ◽  
pp. 710-720 ◽  
Author(s):  
J. L. Solanas ◽  
M. R. Cussó

Multivariate Consumption Profiling (MCP) is a methodology to analyse the readings made by Intelligent Meter (IM) systems. Even in advanced water companies with well supported IM, full statistical analyses are not performed, since no efficient methods are available to deal with all the data items. Multivariate Analysis has been proposed as a convenient way to synthesise all IM information. MCP uses Factor Analysis, Cluster Analysis and Discriminant Analysis to analyse data variability by categories and levels, in a cyclical improvement process. MCP obtains a conceptual schema of a reference population on a set of classifying tables, one for each category. These tables are quantitative concepts to evaluate consumption, meter sizing, leakage and undermetering for populations and groupings and individual cases. They give structuring items to enhance “traditional” statistics. All the relevant data from each new meter reading can be matched to the classifying tables. A set of indexes is computed and thresholds are used to select those cases with the desired profiles. The paper gives an example of a MCP conceptual schema for five categories, three variables, and five levels, and obtains its classifying tables. It shows the use of case profiles to implement actions in accordance with the operative objectives.


Author(s):  
Zoltan-Csaba Marton ◽  
Lucian Goron ◽  
Radu Bogdan Rusu ◽  
Michel Beetz
Keyword(s):  

Cytometry ◽  
2003 ◽  
Vol 56A (1) ◽  
pp. 23-36 ◽  
Author(s):  
Gang Lin ◽  
Umesh Adiga ◽  
Kathy Olson ◽  
John F. Guzowski ◽  
Carol A. Barnes ◽  
...  

2021 ◽  
Author(s):  
Raffaella Brumana ◽  
Chiara Stanga ◽  
Fabrizio Banfi

AbstractThe paper focuses on new opportunities of knowledge sharing, and comparison, thanks to the circulation and re-use of heritage HBIM models by means of Object Libraries within a Common Data Environment (CDE) and remotely-accessible Geospatial Virtual Hubs (GVH). HBIM requires a transparent controlled quality process in the model generation and its management to avoid misuses of such models once available in the cloud, freeing themselves from object libraries oriented to new buildings. The model concept in the BIM construction process is intended to be progressively enriched with details defined by the Level of Geometry (LOG) while crossing the different phases of development (LOD), from the pre-design to the scheduled maintenance during the long life cycle of buildings and management (LLCM). In this context, the digitization process—from the data acquisition until the informative models (scan-to-HBIM method)—requires adapting the definition of LOGs to the different phases characterizing the heritage preservation and management, reversing the new construction logic based on simple-to-complex informative models. Accordingly, a deeper understanding of the geometry and state of the art (as-found) should take into account the complexity and uniqueness of the elements composing the architectural heritage since the starting phases of the analysis, adopting coherent object modeling that can be simplified for different purposes as in the construction site and management over time. For those reasons, the study intends (i) to apply the well-known concept of scale to the object model generation, defining different Grades of Accuracy (GOA) related to the scales (ii) to start fixing sustainable roles to guarantee a free choice by the operators in the generation of object models, and (iii) to validate the model generative process with a transparent communication of indicators to describe the richness in terms of precision and accuracy of the geometric content here declined for masonry walls and vaults, and (iv) to identifies requirements for reliable Object Libraries.


Computer ◽  
2007 ◽  
Vol 40 (10) ◽  
pp. 102-104 ◽  
Author(s):  
Marco A. Casanova ◽  
Karin K. Breitman ◽  
Daniela F. Brauner ◽  
André L.A. Marins

2006 ◽  
Vol 18 (6) ◽  
pp. 1441-1471 ◽  
Author(s):  
Christian Eckes ◽  
Jochen Triesch ◽  
Christoph von der Malsburg

We present a system for the automatic interpretation of cluttered scenes containing multiple partly occluded objects in front of unknown, complex backgrounds. The system is based on an extended elastic graph matching algorithm that allows the explicit modeling of partial occlusions. Our approach extends an earlier system in two ways. First, we use elastic graph matching in stereo image pairs to increase matching robustness and disambiguate occlusion relations. Second, we use richer feature descriptions in the object models by integrating shape and texture with color features. We demonstrate that the combination of both extensions substantially increases recognition performance. The system learns about new objects in a simple one-shot learning approach. Despite the lack of statistical information in the object models and the lack of an explicit background model, our system performs surprisingly well for this very difficult task. Our results underscore the advantages of view-based feature constellation representations for difficult object recognition problems.


i-com ◽  
2008 ◽  
Vol 6 (3/2007) ◽  
pp. 23-29 ◽  
Author(s):  
Birgit Bomsdorf

SummaryTask modelling has entered the development process of web applications, strengthening the usage-centred view within the early steps in Web-Engineering (WE). In current approaches, however, this view is not kept up during subsequent activities to the same degree as this is the case in the field of Human-Computer-Interaction (HCI). The modelling approach presented in this contribution combines models as known from WE with models used in HCI to change this situation. Basically the WE-HCI-integration is supported by combining task and object models as known from HCI with conceptual modelling known from WE. In this paper, the main focus is on the WebTaskModel, a task model adapted to web application concerns, and its contribution towards a task-related web user interface. The main difference to existing task models is the build-time and run-time usage of a generic task lifecycle. Hereby the description of exceptions and erroneous situations during task performance (caused by, e.g., the stateless protocol or Browser interaction) is enabled and at the same time clearly separated from the flow of correct action.


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