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Le robot comme interactant est souvent un agent cognitif et biologiquement
inspiré par l’homme, conçu pour communiquer. Au-delà des questions classiques
concernant la plausibilité des artefacts intelligents, des interrogations subsistent au
sujet de la pertinence de ces nouvelles implémentations computationnelles et robotiques
dans notre société ;...
Contexts in source publication
Context 1
... data acquisition, this type of ontology cautious about features of the spatial information, specifically spatial relationships and the spatial informa- tion structure. Types of spatial knowledge ontology are shown in Figure 10. Xiao et al., 2014, proposed an intelligent spatial information retrieval ap- proach for bays based on the bay geo-information ontology. ...
Context 2
... the sphere that a flash of light creates in three dimensional space x²+y²+z²=r² becomes in four dimensions: x²+y²+z² = r² = c²t² x²+y²+z²+(ict)² =0, with i²=-1 . In four dimensions, this equation describes a cone, depicted in Figure 13. Hence it is called the light-cone. ...
Context 3
... possibilities for digital storage of spatial data evolved: grid and vector representation. Grid representation aggregates spaces and straight contours are approximated by tessellations (see Figure 15), whereas vector repre- sentation preserves the spatial contours (see Figure 15). ...
Context 4
... possibilities for digital storage of spatial data evolved: grid and vector representation. Grid representation aggregates spaces and straight contours are approximated by tessellations (see Figure 15), whereas vector repre- sentation preserves the spatial contours (see Figure 15). ...
Context 5
... spatial vector object types are point, line, area, network and their compound 13 shown in Figure 16. ...
Context 6
... GPS information of a moving object (e.g. a vehicular position) loses validity immediately after being recorded. Primitive spatial vector object types are point, line, area, network and their compound 365 shown in Figure 12. ...
Context 7
... if a user does not have proper knowledge of statistics, geo-statistics, etc, there is a risk of mistakes being overlooked. Figure 13 presents an attempt at determining the daily maximum temperature within the area of research stations run by the Institute of Meteorology and Water Manage- ment -National Research Institute (IMGW-PIB) in 2010. In those stations, at specific intervals, measurements are read, such as: minimum, maximum, mean average temperature (daily, monthly, and annual); precipitation; humidity; etc. ...
Context 8
... from the analysed daily average temperature, other data on the climate -due to their as- sociation with the variable studied -may provide additional information useful for estimations in places where readings have not been taken. Figure 18 Marek Ogryzek a) with minimum temperature b) with maximum temperature c) with precipitation d) with humidity an attempt at drawing a map of daily average temperatures in 2010 by means of Ordinary Cokriging. ...
Context 9
... as a basis for for any proper decisions. These unreliable results are an effect of too few research stations, which is also corroborated upon validation. Next, the analyses were carried out using various kinds of Cokriging in order to eliminate miscalculations resulting from an incorrectly chosen research method. The results can be seen in Fig. 19. ...
Context 10
... fore, a decision was reached to take advantage of the most methodically-advanced example of spatial analyses accounting for the relations between the space and the attributes, i.e. geo-statistics. Figure 21 presents attempts at using geo-statistic methods in making maps of land value (quotability). Over many years, various ideas emerged of defining and mapping average transaction land prices, e.g.: isolation of zones characterised by similar land quotability with the use of geo-statistic methods 13 , or by means of artificial neu- ral networks 14 . ...
Context 11
... land prices, e.g.: isolation of zones characterised by similar land quotability with the use of geo-statistic methods 13 , or by means of artificial neu- ral networks 14 . Studies demonstrated that it is feasible to draw maps of probable transaction prices. However, not all methods should be employed in the process, which can be seen in Fig. 21. Still, the designed model can be implemented but only for maximal prices (not for average prices), because the information collect- ed on the highest values may constitute a certain model which is to be followed when other Agency lands are sold, taking into account the differences in land parameters, e.g. land bonitation, layout, ...
Context 12
... successful application of the georeferencing algorithm requires the avail- ability of reference images which hold enough characteristic features. Figure 30 shows the entire area processed by the system with matching key points before RANSAC and Fig. 31 after RANSAC-based outlier removal. The area of interest contains the entire country of Poland and some of its neighborhood. Aside from the coastline of the southern Baltic Sea in the north, the elements which stand out include the Carpathian mountain range in the south. Ad- ditionally, the country contains some characteristic features ...
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