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Intelligent Modular Multi-sensor Networked False Alarm Free Fire Detection System

Projekt: Forschung

Projektbeteiligte

Beschreibung

The main objective of IMOS project is the development and the demonstration of a false alarm free fire detection system for large buildings and production plants. This will be achieved by the development of an intelligent multisensor microsystem (IMS) comprising:
An optical multi sensor (OMS), which measures the scattered light and absorptions at least by two different wavelengths and at least by two different scattering angles in order to discriminate between fire and non-fire situations,
A multi-gas-sensor-system (MGS), which is able to measure at least CO, CO2, NO, unburned hydrocarbons and alkaloids,
A neural network running in an embedded system, which will identify smoke fingerprints using all the available sensors information, and teleservice.
AkronymIMOS
StatusAbgeschlossen
Zeitraum01.01.04 → 02.04.09

Zuletzt angesehen

Publikationen

  1. Data-driven and physics-based modelling of process behaviour and deposit geometry for friction surfacing
  2. Making an Impression Through Openness
  3. Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning
  4. Control versus Complexity
  5. Comparing the performance of computational estimation methods for physicochemical properties of dimethylsiloxanes and selected siloxanols
  6. Intersection tests for the cointegrating rank in dependent panel data
  7. Quality Assurance Methods and the Open Source Model
  8. Validation of an open source, remote web-based eye-tracking method (WebGazer) for research in early childhood
  9. Template-based Question Answering using Recursive Neural Networks
  10. NH4+ ad-/desorption in sequencing batch reactors
  11. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  12. Machine Learning and Knowledge Discovery in Databases
  13. Should learners use their hands for learning? Results from an eye-tracking study
  14. Is too much help an obstacle? Effects of interactivity and cognitive style on learning with dynamic versus non-dynamic visualizations with narrative explanations
  15. Introduction Mobile Digital Practices. Situating People, Things, and Data
  16. Visualization of the Plasma Frequency by means of a Particle Simulation using a Normalized Periodic Model
  17. Facing complexity through informed simplifications
  18. Computational modeling of amorphous polymers
  19. Taking the pulse of Earth's tropical forests using networks of highly distributed plots
  20. Kalman Filter for Predictive Maintenance and Anomaly Detection
  21. Using corpus-linguistic methods to track longitudinal development
  22. Toward Application and Implementation of in Silico Tools and Workflows within Benign by Design Approaches
  23. Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
  24. Influence of Process Parameters and Die Design on the Microstructure and Texture Development of Direct Extruded Magnesium Flat Products
  25. Use of Machine-Learning Algorithms Based on Text, Audio and Video Data in the Prediction of Anxiety and Post-Traumatic Stress in General and Clinical Populations
  26. Scholarly Question Answering Using Large Language Models in the NFDI4DataScience Gateway
  27. Towards a spatial understanding of identity play
  28. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  29. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  30. Interpreting Strings, Weaving Threads
  31. Changes in the Complexity of Limb Movements during the First Year of Life across Different Tasks