A framework for object-oriented on-line analytic processing

Author(s):  
Jan W. Buzydlowski ◽  
Il-Yeol Song ◽  
Lewis Hassell
2003 ◽  
pp. 1-45
Author(s):  
Maurizio Rafanelli

This chapter presents the basic notions regarding multidimensional (aggregate) databases by referring to different definitions given for them in the literature. It illustrates the important concepts of micro, macro, and metadata; presents a formal definition of the aggregation process, discussing the concepts of dimension and dimension hierarchies; describes the multidimensional aggregate data structure, distinguishing between simple, complex, and composite structure; illustrates the different types of null values; and discusses differences and similarities which exist between multidimensional aggregate data (generally called statistical data because they are used mainly by statisticians) and the On-Line-Analytic Processing (OLAP) of multidimensional data represented by different data cubes, also discussing the different (symmetric and non-symmetric) treatment of dimensions and measures required by OLAP and aggregate multidimensional databases. Finally it discusses a graph model and a tabular model for this kind of data, and gives a set of definitions regarding the OLAP terminology.


1992 ◽  
Vol 37 (6) ◽  
Author(s):  
Terhi Siimes ◽  
Mikio Nakajima ◽  
Hideo Yada ◽  
Hajime Asama ◽  
Teruyuki Nagamune ◽  
...  

1995 ◽  
Vol 10 (1) ◽  
pp. 125-132 ◽  
Author(s):  
M. Foley ◽  
A. Bose

2020 ◽  
Author(s):  
Cordelia Brown ◽  
Yung-Hsiang Lu ◽  
Melissa Yale ◽  
Deborah Bennett

Author(s):  
J. Taylor ◽  
B. Parvin

Due to the fast pace of computer instrumentation and technology, we are quickly approaching an age where on-line use of expensive research facilities will become commonplace. The consequences of this trend will be multifaceted. It will allow scientist and researchers to perform experiments and access data with greater ease without the burden some overhead associated with working onsite. It will allow for the on-line storage and analysis of data. And lastly, an ideal testbed will be provided for integrating intelligent man-machine interfaces in order to reduce labor intensive tasks. This will simplify the control of complicated instruments via automation of the controls whose human control is not essential. Unfortunately, attempts at building a common platform for remote operation will face several problems. First of all, a successful general purpose architecture will frequently need to be extended in order to perform new functions as well as utilize new hardware. Similarly, the continued development of new microscopes, stage controls, etc. will undoubtedly create incompatible interfaces which will break presently working systems. Lastly, the environment that such a system will operate will likely be characterized by heterogeneous hardware and software. Based on the experience of building on-line systems for use of optical and electron microscopes, we propose a scalable system architecture based on the principles of object oriented design and analysis, a machine independent user- interface based on Java, and a software bus that supports distributed objects over the network.


Author(s):  
Wilfried P. J. Visser ◽  
Michael J. Broomhead

NLR’s primary tool for gas turbine engine performance analysis is the ‘Gas turbine Simulation Program’ (GSP), a component based modeling environment. GSP’s flexible object-oriented architecture allows steady-state and transient simulation of any gas turbine configuration using a user-friendly drag&drop interface with on-line help running under Windows95/98/NT. GSP has been used for a variety of applications such as various types of off-design performance analysis, emission calculations, control system design and diagnostics of both aircraft and industrial gas turbines. More advanced applications include analysis of recuperated turboshaft engine performance, lift-fan STOVL propulsion systems, control logic validation and analysis of thermal load calculation for hot section life consumption modeling. In this paper the GSP modeling system and object-oriented architecture are described. Examples of applications for both aircraft and industrial gas turbine performance analysis are presented.


2014 ◽  
Vol 102 (1) ◽  
pp. 5-16
Author(s):  
Avramidis Eleftherios ◽  
Poustka Lukas ◽  
Schmeier Sven

Abstract “Qualitative” is a python toolkit for ranking and selection of sentence-level output by different MT systems using Quality Estimation. The toolkit implements a basic pipeline for annotating the given sentences with black-box features. Consequently, it applies a machine learning mechanism in order to rank data based on models pre-trained on human preferences. The preprocessing pipeline includes support for language models, PCFG parsing, language checking tools and various other pre-processors and feature generators. The code follows the principles of object-oriented programming to allow modularity and extensibility. The tool can operate by processing both batch-files and single sentences. An XML-RPC interface is provided for hooking up with web-services and a graphical animated web-based interface demonstrates its potential on-line use.


2012 ◽  
Vol 462 ◽  
pp. 807-811
Author(s):  
Qin Zhou ◽  
Zheng Cai Fu ◽  
Bo Zhou

In order to adapt the developing requirements of upgrade reconstruct, expansion, renewal of device, function performance improvement, aiming at the characteristic of power network decentralization and fast distance, putting forward a structure scheme for implementing on-line configuration, based on the OOD( Object-Oriented Design) and modifying the relation of node link. It is described in this paper including system structure, software compose and realization principle. That scheme has some characteristics with better practicability, universal applicability, transplantability and easy-using.


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