Fraunhofer-Institut für Angewandte Informationstechnik FIT

Filters
Reset filters

Settings
Now showing 1 - 8 of 8
  • Publication
    Flexible IT Platform for Synchronizing Energy Demands with Volatile Markets
    ( 2018)
    Schott, Paul
    ;
    Ahrens, Raphael
    ;
    Bauer, Dennis
    ;
    Hering, Fabian
    ;
    Keller, Robert
    ;
    Pullmann, Jaroslav
    ;
    Schel, Daniel
    ;
    Schimmelpfennig, Jens
    ;
    Simon, Peter
    ;
    Weber, Thomas
    ;
    Abele, Eberhard
    ;
    Bauernhansl, Thomas
    ;
    Fridgen, Gilbert
    ;
    Jarke, Matthias
    ;
    Reinhart, Gunther
    Abandoning fossil and nuclear energy sources in the long run and increasing amount of renewable energies in electricity production causes a more volatile power supply. Depending on external realities, renewable energy production emphasizes the need for measures to guarantee the necessary balance of demand and supply in the electricity system at all times. Energy intensive industry processes theoretically include high Demand Response potentials suitable to tackle this increasing supply volatility. Nevertheless, most companies do not operate their production in a flexible manner due to multiple reasons: among others, the companies lack know-how, technologies and a clear business case to introduce an additional level of flexibility into their production processes, they are concerned about po ssible impacts on their processes by varying the electricity demand and need assistance in exploiting their flexibility. Aside from fostering knowledge in industry companies, an IT-solution that supports companies to use their processes Demand Response potential has become necessary. Its concept must support companies in managing companies energy-flexible production processes and monetarize those potentials at flexibility markets. This paper presents a concept, which integrates both companies and energy markets. It enables automated trading of companies Demand Response potential on different flexibility markets.
  • Publication
    Usage-based object similarity
    ( 2010)
    Niemann, K.
    ;
    Scheffel, M.
    ;
    Friedrich, M.
    ;
    Kirschenmann, U.
    ;
    Schmitz, H.-C.
    ;
    Wolpers, M.
    Recommender systems are widely used online to support users in finding relevant information. They can be based on different techniques such as content-based and collaborative filtering. In this paper, we introduce a new way of similarity calculation for item-based collaborative filtering. Thereby we focus on the usage of an object and not on the object's users as we claim the hypothesis that similarity of usage indicates content similarity. To prove this hypothesis we use learning objects accessible through the MACE portal where students can query several architectural repositories. For these objects, we generate object profiles based on their usage monitored within MACE. We further propose several recommendation techniques to apply this usagebased similarity calculation in real systems.
  • Publication
    Nutzbarkeit dynamischer Umgebungen für autonomes Lernen
    ( 2010)
    Kirschenmann, U.
    ;
    Schmitz, H.-C.
    ;
    Wolpers, M.
    ;
    Dreusicke, M.
    Self-regulated learning burdens the learner with configuring his own individual learning environment. The task is hard to accomplish; learners might need help. We define two means to this end, namely context-sensitive recommendations and data analyses for reflection support. Both means are based on the recording and analysis of usage data. We introduce the CAM (Contextualized Attention Metadata) schema as a format for such usage data and describe how CAM can be recorded and exploited locally or on remote servers. As examples we refer to two hypermedia learning systems, namely MACE and PAUX.
  • Publication
    Responsive open learning environments for computer-assisted language learning
    ( 2010)
    Scheffel, M.
    ;
    Schmitz, H.-C.
    ;
    Shen, R.
    ;
    Ullrich, C.
    ;
    Wolpers, M.
    Responsive open learning environments (ROLEs) compile contents and services in such a way that service widgets can communicate with each other. ROLEs thus enable existing learning management systems to enhance their learning offers which in turn become part of the ROLE. As a technical proof of concept we - by means of a language learning prototype developed as a technical proof of concept in the context of the European project ROLE - first show how interoperability of widgets can be achieved and then present how the implementation of language learning widgets into a running learning environment at the Shanghai Jiao Tong University in China serves as an institutional proof of concept for the applicability and acceptance of ROLEs.
  • Publication
    Switching hidden markov models for learning of motion patterns in videos
    ( 2009)
    Höffken, M.
    ;
    Oberhoff, D.
    ;
    Kolesnik, M.
    Building on the current understanding of neural architecture of the visual cortex, we present a graphical model for learning and classification of motion patterns in videos. The model is composed of an arbitrary amount of Hidden Markov Models (HMMs) with shared Gaussian mixture models. The novel extension of our model is the use of additional Markov chain, serving as a switch for indicating the currently active HMM. We therefore call the model a Switching Hidden Markov Model (SHMM). SHMM learns from input optical flow in an unsupervised fashion. Functionality of the model is tested with artificially simulated time sequences. Tests with real videos show that the model is capable of learning and recognition of motion activities of single individuals, and for classification of motion patterns exhibited by groups of people. Classification rates of about 75 percent for real videos are satisfactory taking into account a relative simplicity of the model.
  • Publication
    A Context-Sensitive Nomadic Exhibition Guide
    ( 2000)
    Oppermann, R.
    ;
    Specht, M.
  • Publication
    Hippie: A Nomadic Information System
    ( 1999)
    Oppermann, R.
    ;
    Specht, M.
    ;
    Jaceniak, I.