Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Monday, June 6, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session B-1 WG II/3 - Technologies for Large Volumes of Spatial Data - Part A]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: PROGRAMMING WITH CONSTRAINTS IN AN OBJECT-ORIENTED GIS FRANCOIS BOUILLE

Write comment:: Text parallel in englischer und französischer Sprache abgedruckt.

Document type:: Monograph

Structure type:: Chapter

icluded in this arting from a rclass, and thus the graphical perattribute Tr perlink nsions. bed others, thus y. Ihe second amed embryo, yo looks like a th no realization; IS, composing a t a model, which each structure attributes and/or fic phenomenon the graphical med "GRAPH", al relationships d "nodes"), arcs and areas, as it :al themes. ype tructures. The third set of extensions consist of building new components, corresponding to classes of rules, classes of processes and classes of neurons. Rules are considered as objects of classes which have been previously included into a hyperclass named "RULE"; thus, they inherit of the attributes and links of this hyperclass, namely: -premis (boolean expression, or fuzzy expression), - consequent if yes (any set of executable statements), -consequent in no (likewise), —a preparing part named "PROLOG" (exec.statements), -a closing part named "EPILOG" (likewise), —an explanation which is purely textual, —various coefficients such as: —askability, -editability, — -priority, - modifiability, —lauchability, —priority, -reliability, etc... Moreover, rules present relationships such as "actives" and "inhibits", because a rule may active another one which was not a priori activable, or on the contrary, an activated rule may inhib another rule which is launchable but not compatible with the first one. The figure 4 shows the graphical representation of the hyperclass RULE. askability hibit editability Eat S modifyability EZ es PROLOG lauchability C—4 priority D— ET PREMISE reliability O— : en OOO FS EROR ege CONSEQUENT enc» €» IF NO C» CoD 2 EPILOG explanation Fig. 4 : The hyperclass RULE and its components. The hyperclass RULE is itself included in the hyperclass "FACT", thus solving the problem of the so-called "metarules", a rule possibly appearing as a fact for another rule. Rules and facts are chained, according to the following graphical representation, shown of the figure 5. The facts are a.d.t. of any type, such as attributes of classes, links between classes, classes themselves, as shown on the figure 5; they may be too objects or anything else. The expert system included in the HBDS kernel is not composed of a single inference engine, but composed of several ones which run forward and backward. These engines accept fuzzy facts and fuzzy rules. The engines are themselves included in the knowledge structure. The whole expert system is designed without the obsolete concepts of backtracking and pattern-matching (Bouille, 1984a,b, 1988, 1991b). 41 class of rules d dst ttt ERE Fig. 5 : Graphical representation of the interaction of rules and facts. Discrete processes are considered as objects of classes which have been previously included into a hyperclass named "PROCESS"; thus they inherit of all the attributes of this hyperclass, namely : -a clock, dealing with the time at the scale of a possible simulation (nanoseconds as well as centuries or b.y.), -state (which may be active, passive, hold, terminated, -body, which is the algorithmic part comosed of any set of executable statements, working on a coroutine mode, —a local sequence counter, according to the term firstly introduced in the SIMULA 67 programming language. The figure 6 shows the structure of the Hyperclass "PROCESS". ( Active STATE Hold Passive aie CLOCK 8 relire: 9 PROCESS or — s CERT C BODY C» C»C» C» | (coroutine) CCS NS QUE C m C» (uu QE C elc... Fig.6 : The hyperclass PROCESS and its components. Neurons too are considered as objects of classes which have been previously included into a hyperclass named "NEURON"; thus they inherit of the following attributes: —minimum intensity for nA AA ET eee conne

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