Vienna University of Technology

About: Vienna University of Technology is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Laser & Cloud computing. The organization has 16723 authors who have published 49341 publications receiving 1302168 citations.

Services Mashups: The New Generation of Web Applications

Abstract: Web services are becoming a major technology for deploying automated interactions between distributed and heterogeneous applications, and for connecting business processes. Service mashups indicate a way to create new Web applications by combining existing Web resources utilizing data and Web APIs. They facilitate the design and development of novel and modern Web applications based on easy-to-accomplish end-user service compositions.

Chemical modification of titanium alkoxides for sol–gel processing

Abstract: The chemical modification of titanium alkoxides by alkoxy- and aminoalcohols, s-diketones, s-ketoesters, carboxylic and phosphonic acids, and related compounds, and the hydrolysis behavior of the organically modified precursors are reviewed Special focus is put on structural aspects and on the possibility to introduce functional organic groups Such precursors have a high potential for innovative materials syntheses because they permit control of the precursor reactivity in sol–gel processes and the preparation of titania-based inorganic–organic hybrid materials Coordination, solvation, aggregation and redistribution equilibria play an important role in the chemistry of the modified titanium alkoxides, and organic side reactions have to be taken into account

Microsatellite variability in grapevine cultivars from different European regions and evaluation of assignment testing to assess the geographic origin of cultivars

Abstract: Nine microsatellite markers (VVMD5, VVMD7, VVS2, ssrVrZAG21, ssrVrZAG47, ssrVrZAG62, ssrVrZAG64, ssrVrZAG79 and ssrVrZAG83) were chosen for the analysis of marker information content, the genetic structure of grapevine cultivar gene pools, and differentiation among grapevines sampled from seven European vine-growing regions (Greece, Croatia, North Italy, Austria and Germany, France, Spain and Portugal). The markers were found to be highly informative in all cultivar groups and therefore constitute a useful set for the genetic characterization of European grapevines. Similar and high levels of genetic variability were detected in all investigated grapevine gene pools. Genetic differentiation among cultivars from different regions was significant, even in the case of adjacent groups such as the Spanish and Portuguese cultivars. No genetic differentiation could be detected between vines with blue and white grapes, indicating that they have undergone the processes of cultivar development jointly. The observed genetic differentiation among vine-growing regions suggested that cultivars could possibly be assigned to their regions of origin according to their genotypes. This might allow one to determine the geographical origin of cultivars with an unknown background. The assignment procedure proved to work for cultivars from the higher differentiated regions, as for example from Austria and Portugal.

Artificial intelligence—a modern approach by Stuart Russell and Peter Norvig, Prentice Hall. Series in Artificial Intelligence, Englewood Cliffs, NJ.

Abstract: Benferhat, S, Dubois D and Prade, H, 1992. \"Representing default rules in possibilistic logic\" In: Proc. of the 3rd Inter. Conf. on Principles of knowledge Representation and Reasoning (KR'92), 673-684, Cambridge, MA, October 26-29. De Finetti, B, 1936. \"La logique de la probabilite\" Actes du Congres Inter, de Philosophic Scientifique, Paris. (Hermann et Cie Editions, 1936, IV1-IV9). Driankov, D, Hellendoorn, H and Reinfrank, M, 1995. An Introduction to Fuzzy Control, Springer-Verlag. Dubois, D and Prade, H, 1988. \"An introduction to possibilistic and fuzzy logics\" In: Non-Standard Logics for Automated Reasoning (P Smets, A Mamdani, D Dubois and H Prade, editors), 287-315, Academic Press. Dubois, D and Prade, H, 1994. \"Can we enforce full compositionality in uncertainty calculi?\" In: Proc. 12th US National Conf. On Artificial Intelligence (AAAI94), 149-154, Seattle, WA. Elkan, C, 1994. \"The paradoxical success of fuzzy logic\" IEEE Expert August, 3-8. Lehmann, D and Magidor. M, 1992. \"What does a conditional knowledge base entail?\" Artificial Intelligence 55 (1) 1-60. Maung, 1,1995. \"Two characterizations of a minimum-information principle in possibilistic reasoning\" Int. J. of Approximate Reasoning 12 133-156. Pearl, J, 1990. \"System Z: A natural ordering of defaults with tractable applications to default reasoning\" Proc. of the 2nd Conf. on Theoretical Aspects of Reasoning about Knowledge (TARK'90) 121-135, San Francisco, CA, Morgan Karfman. Shoham, Y, 1988. Reasoning about Change MIT Press. Smets, P, 1988. \"Belief functions\" In: Non-Standard Logics for Automated Reasoning (P Smets, A Mamdani, D Dubois and H Prade, editors), 253-286, Academic Press. Smets, P, 1990a. \"The combination of evidence in the transferable belief model\" IEEE Trans, on Pattern Anal. Mach. Intell. 12 447-458. Smets, P, 1990b. \"Constructing the pignistic probability function in a context of uncertainty\" Un certainty in Artificial Intelligence 5 (M Henrion et al., editors), 29-40, North-Holland. Smets, P, 1995. \"Quantifying beliefs by belief functions: An axiomatic justification\" In: Procoj the 13th Inter. Joint Conf. on Artificial Intelligence (IJACT93), 598-603, Chambey, France, August 28-September 3. Smets, P and Kennes, R, 1994. \"The transferable belief model\" Artificial Intelligence 66 191-234.

Evaluation of the agreement between the first global remotely sensed soil moisture data with model and precipitation data

Abstract: [1] The lack of global soil moisture data has spurred research in the field of microwave remote sensing. Both passive (radiometers) and active (scatterometer) microwave data are very sensitive to the moisture content of the surface soil layer. To retrieve soil moisture, the effects of vegetation, surface roughness, and heterogeneous land cover must be taken into account. Field experiments have shown that passive microwave data at long wavelengths (L-band) are best suited for soil moisture retrieval. Nevertheless, the first global, multiannual soil moisture data set (1992–2000) has been derived from active microwave data acquired by the European Remote Sensing Satellites (ERS) ERS-1 and ERS-2 scatterometer (C-band). The retrieval algorithm is based on a change detection approach that naturally accounts for surface roughness and heterogeneous land cover. In this paper the scatterometer-derived soil moisture data are compared to gridded precipitation data and soil moisture modeled by a global vegetation and water balance model. The correlation between soil moisture and rainfall anomalies is observed to be best over areas with a dense rainfall gauge network. Also, the scatterometer-derived and modeled soil moisture agree reasonably well over tropical and temperate climates. The fact that the algorithm performs equally well for regions with summer rain and Mediterranean areas indicates that dynamic vegetation effects are correctly represented in the retrieval. More research is needed to better understand the backscattering behavior over dry (steppe, deserts) and cold (boreal zone, tundra) climatic regions. The scatterometer-derived soil moisture data are available to other research groups at http://www.ipf.tuwien.ac.at/radar/ers-scat/home.htm.