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
Zeitraum01.01.0402.04.09

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  2. Mechanical performance prediction for friction riveting joints of dissimilar materials via machine learning
  3. Quality Assurance Methods and the Open Source Model
  4. Template-based Question Answering using Recursive Neural Networks
  5. NH4+ ad-/desorption in sequencing batch reactors
  6. Dynamically changing sequencing rules with reinforcement learning in a job shop system with stochastic influences
  7. Kalman Filter for Predictive Maintenance and Anomaly Detection
  8. Need Satisfaction and Optimal Functioning at Leisure and Work: A Longitudinal Validation Study of the DRAMMA Model
  9. How does Enterprise Architecture support the Design and Realization of Data-Driven Business Models?
  10. Sensitivity to complexity - an important prerequisite of problem solving mathematics teaching
  11. Supporting the Development and Implementation of a Digitalization Strategy in SMEs through a Lightweight Architecture-based Method
  12. Experimentally established correlation of friction surfacing process temperature and deposit geometry
  13. What can conservation strategies learn from the ecosystem services approach?
  14. Data based analysis of order processing strategies to support the positioning between conflicting economic and logistic objectives
  15. An Orthogonal Wavelet Denoising Algorithm for Surface Images of Atomic Force Microscopy
  16. Guest Editorial Special Issue on Sensors in Machine Vision of Automated Systems
  17. AGDISTIS - Graph-based disambiguation of named entities using linked data
  18. New Labor, Old Questions: Practices of Collaboration with Robots
  19. Grazing, exploring and networking for sustainability-oriented innovations in learning-action networks
  20. Exploring large vegetation databases to detect temporal trends in species occurrences
  21. Modeling self-determination theory motivation data by using unfolding IRT
  22. Combining linked data and statistical information retrieval
  23. Introduction Mobile Digital Practices. Situating People, Things, and Data
  24. Additive Manufacturing of Soft Robots
  25. BERTologyNavigator: Advanced Question Answering with BERT-based Semantics
  26. Re-visiting Effectuation
  27. Competing Vegetation Structure Indices for Estimating Spatial Constrains in Carabid Abundance Patterns in Chinese Grasslands Reveal Complex Scale and Habitat Patterns
  28. Convolutional Neural Networks
  29. Metaphors and Paradigms of the Language Animal—or—The Advantage of seeing “Time Is a Resource” as a Paradigm
  30. Challenges for biodiversity monitoring using citizen science in transitioning social-ecological systems
  31. Turning Good Intentions Into Actions by Using the Health Action Process Approach to Predict Adherence to Internet-Based Depression Prevention
  32. Combining a PI Controller with an Adaptive Feedforward Control in PMSM
  33. Introduction
  34. Perfectly nested or significantly nested - an important difference for conservation management
  35. An Adaptive Resonance Regulator for an Actuator using Periodic Signals in Camless Engine Systems