Short-term forecasting of wind power for about 48 hours in advance is an established technique by now. Any utility getting over a few percent wind power penetration is buying a system or a service on the market. However, once the system is installed and running day-to-day in the control room or on the trading floor, what is the best way to use the predictions? Which pitfalls are there to be awa...

This paper addresses the challenge of bridging the semantic gap between the rich meaning users desire when they query to locate and browse media and the shallowness of media descriptions that can be computed in today’s content management systems. To facilitate high-level semantics-based content annotation and interpretation, we tackle the problem of automatic decomposition of motion pictures in...

The large number of user-generated videos uploaded on to the Internet everyday has led to many commercial video search engines, which mainly rely on text metadata for search. However, metadata is often lacking for user-generated videos, thus these videos are unsearchable by current search engines. Therefore, content-based video retrieval (CBVR) tackles this metadata-scarcity problem by directly...

Der Beitrag beschreibt die Möglichkeiten einer integrierenden Nutzung von Wissensmanagement-Systemen und E-Learning-Anwendungen. Hierzu werden die grundlegenden Merkmale beider Technologien dargestellt. Anhand dieser Charakteristika und den Bausteinen des Wissensmanagement werden Vorteile einer integrierten E-Learningund Wissensmanagement-Umgebung diskutiert. Das Knowledge Content Management Sy...

Sub-seasonal to seasonal (S2S) retrospective forecasts from three global coupled models are used to evaluate the predictability of the onset and demise dates of the rainy season over monsoonal regions. The onset and demise dates of the rainy season are defined using only precipitation data. The forecasts of the onset and demise dates of the rainy season are based on a hybrid methodology that co...

In this paper we present different sources of information complementary to audiovisual (A/V) streams and propose their usage for enriching A/V data with semantic concepts in order to bridge the gap between low-level video analysis and high-level analysis. Our aim is to extract cross-media feature descriptors from semantically enriched and aligned resources so as to detect finer-grained events i...

Fallbasiertes Lernen hat in der Medizin eine zentrale Bedeutung. Daher sind für die Bereitstellung von eLearning-Angeboten im medizinischen Bereich fallbasierte Systeme sowohl für die studentische Ausbildung als auch für die ärztliche Weiterbildung sinnvoll. Fallsammlungen lassen sich nicht nur in der Lehre nutzen, sondern können auch als Referenzfälle dienen, die von Ärzten zur Diagnose herang...

Since 1950, information flows have been in the centre of scientific research. Up until internet penetration in the late 90s, these studies were based over traditional offline social networks. Several observations in “offline” information flows studies, such as two-step flow of communication and the importance of weak ties, were verified in several “online” studies, showing that the diffused inf...

This paper presents an event recognition framework, based on Dempster-Shafer theory, that combines evidence of events from low-level computer vision analytics. The proposed method employing evidential network modelling of composite events, is able to represent uncertainty of event output from low level video analysis and infer high-level events with semantic meaning along with degrees of belief...

The equipment maintenance is an indispensable function in a manufacturing enterprise [1]. The role of maintenance is to reduce business risks in a cost effective manner. Thus achieving excellence in maintenance issues has to be treated as a strategic issue for manufacturing organizations to create world-class-manufacturers (WCM) [2]. In the following papers, the examples of activities realized ...