Multidimensional Modelling of Uniflow Scavenging in Two-stroke Reciprocating Piston Engines

Fluid Flow ◽  
1991 ◽  
pp. 421-436 ◽  
Keyword(s):  
Multidimensional Modelling

Constraint-Based Multi-Dimensional Databases

2009 ◽  
pp. 961-986
Author(s):  
Franck Ravat ◽  
Olivier Teste ◽  
Gilles Zurfluh
Keyword(s):  
Graphical Representation ◽  
Query Language ◽  
Computer Scientist ◽  
Data Querying ◽  
Definition Of ◽  
Multidimensional Modelling ◽  
Graphical Query Language ◽  
Drill Down

This chapter deals with constraint-based multidimensional modelling. The model we define integrates a constellation of facts and dimensions. Along each dimension, various hierarchies are possibly defined and the model supports multiple instantiations of dimensions. The main contribution is the definition of intra-dimension constraints between hierarchies of a same dimension as well as inter-dimension constraints of various dimensions. To facilitate data querying, we define a multi-dimensional query algebra, which integrates the main multi-dimensional operators such as rotations, drill down, roll up… These operators support the constraint-based multi-dimensional modelling. Finally, we present two implementations of this algebra. First, OLAP-SQL is a textual language integrating multi-dimensional concepts (fact, dimension, hierarchy), but it is based on classical SQL syntax. This language is dedicated to specialists such as multi-dimensional database administrators. Second, a graphical query language is presented. This language consists in a graphical representation of multi-dimensional databases, and users specify directly their queries over this graph. This approach is dedicated to non-computer scientist users.

scholarly journals The Significance of Database Size in Modelling the Market of Nonresidential Premises

2016 ◽  
Vol 24 (2) ◽  
pp. 47-56
Author(s):  
Anna Barańska
Keyword(s):  
Housing Market ◽  
Real Estate Market ◽  
Comparative Approach ◽  
Large Set ◽  
Property Market ◽  
Commercial Property ◽  
The Real Estate ◽  
Database Size ◽  
Multidimensional Modelling ◽  
Different Characteristics

Abstract The market of non-residential premises is the subject of analyses less frequently than the housing market. There are two main reasons which probably contribute thereto. First of all, commercial premises are relatively less frequently objects of trade than dwelling units; secondly, they are more diverse due to their various uses. The category includes garages, office premises, commercial premises, as well as warehouses. Such differences in their uses result in significantly different characteristics, such as surface area. The article attempts to analyse a selected non-residential segment of the commercial property market in Krakow based on a large set of data (280 objects), referring to the transactions concluded in the last five years. The size of the data enabled the use of multidimensional modelling of the selected market in different size variants. This made it possible to draw reliable conclusions which undermine the widespread belief regarding very limited possibilities of using the method of market statistical analysis in the comparative approach, especially in this segment of the real estate market, as well as in others, where transactions are concluded less frequently than on the housing market.

scholarly journals Dynamic multidimensional modelling of submerged membrane bioreactor fouling

2014 ◽  
Vol 467 ◽  
pp. 153-161 ◽  
Author(s):  
A. Boyle-Gotla ◽  
P.D. Jensen ◽  
S.D. Yap ◽  
M. Pidou ◽  
Y. Wang ◽  
...  
Keyword(s):  
Membrane Bioreactor ◽  
Submerged Membrane Bioreactor ◽  
Multidimensional Modelling

A general description of detachment for multidimensional modelling of biofilms

2005 ◽  
Vol 91 (6) ◽  
pp. 651-669 ◽  
Author(s):  
Joao de Bivar Xavier ◽  
Cristian Picioreanu ◽  
Mark C.M. van Loosdrecht
Keyword(s):  
General Description ◽  
Multidimensional Modelling

scholarly journals Hilbert space multidimensional modelling of continuous measurements

2019 ◽  
Vol 377 (2157) ◽  
pp. 20190142
Author(s):  
J. R. Busemeyer ◽  
Z. Wang
Keyword(s):  
Hilbert Space ◽  
Quantum Mechanics ◽  
Data Fusion ◽  
State Vector ◽  
Joint Distribution ◽  
Context Effect ◽  
Theme Issue ◽  
Multiple Contexts ◽  
Complete Set ◽  
Multidimensional Modelling

Data fusion problems arise when a researcher needs to analyse results obtained by measuring empirical variables under different measurement contexts. A context is defined by a subset of variables taken from a complete set of variables under investigation. Multiple contexts can be formed from different subsets, which produce a separate distribution of measurements associated with each context. A context effect occurs when the distributions produced by the different contexts cannot be reproduced by marginalizing over a complete joint distribution formed by all the variables. We propose a Hilbert space multidimensional theory that uses a state vector and measurement operators to account for multiple distributions produced by different contexts. This article is part of the theme issue ‘Contextuality and probability in quantum mechanics and beyond’.

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