1. //
  2. Start
  3. //
  4. Projects
  5. //
  6. Intelligent Modular Multi-sensor Network...
  7. //

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

Project: Research

Project participants

Description

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.
AcronymIMOS
StatusFinished
Period01.01.04 → 02.04.09

Recently viewed

Activities

  1. SIAM Conference on Applications of Dynamical Systems - DS 2023
  2. A shift of mindset? Rethinking our (learning) objectives
  3. Workshop on Positioning, Navigation and Communications - WPNC 2016
  4. A Phenomenographical Study of Children's Spatial Thought while using Maps in Real Spaces
  5. Uncertainty and Subjectivity in Provenance Linked Open Data
  6. Processing of CSR communication: Insights from the ELM
  7. VISU: Vagueness, Incompleteness, Subjectivity, and Uncertainty in Provenance Language Processing and Linked Open Data Modelling
  8. Frame-based Matrix Factorizations
  9. Mirrored piezo servo hydraulic actuators for use in camless combustion engines and its Control with mirrored inputs and MPC
  10. Towards a fully-automated adaptive e-learning environment: A predictive model for difficulty generating factors in gap-filling activities that target English tense-aspect-mood

Publications

  1. On the Nonlinearity Compensation in Permanent Magnet Machine Using a Controller Based on a Controlled Invariant Subspace
  2. 'SPREAD THE APP, NOT THE VIRUS’ – AN EXTENSIVE SEM-APPROACH TO UNDERSTAND PANDEMIC TRACING APP USAGE IN GERMANY
  3. Simultaneous Constrained Adaptive Item Selection for Group-Based Testing
  4. Analyzing different types of moderated method effects in confirmatory factor models for structurally different methods
  5. Dynamic Lot Size Optimization with Reinforcement Learning
  6. Design and characterization of an EOG signal acquisition system based on the programming of saccadic movement routines
  7. Methodologies for Noise and Gross Error Detection using Univariate Signal-Based Approaches in Industrial Application
  8. Modelling tasks—The relation between linguistic skills, intra-mathematical skills, and context-related prior knowledge
  9. Finding Similar Movements in Positional Data Streams
  10. Multidimensional Cross-Recurrence Quantification Analysis (MdCRQA)–A Method for Quantifying Correlation between Multivariate Time-Series
  11. Lagged Multidimensional Recurrence Quantification Analysis for Determining Leader–Follower Relationships Within Multidimensional Time Series
  12. Mapping interest rate projections using neural networks under cointegration
  13. Switching from a Managing to a Monitoring Function on the Board
  14. Towards a Dynamic Interpretation of Subjective and Objective Values
  15. Performance analysis for loss systems with many subscribers and concurrent services
  16. Using mixture distribution models to test the construct validity of the Physical Self-Description Questionnaire
  17. Effectiveness of a guided multicomponent internet and mobile gratitude training program - A pragmatic randomized controlled trial
  18. Study on the effects of tool design and process parameters on the robustness of deep drawing
  19. A Proposal for Integrating Theories of Complexity for Better Understanding Global Systemic Risks
  20. Model-based logistic controlling of converging material flows
  21. A Cross-Classified CFA-MTMM Model for Structurally Different and Nonindependent Interchangeable Methods
  22. Anomaly detection in formed sheet metals using convolutional autoencoders
  23. Reading and Calculating in Word Problem Solving
  24. Challenges and boundaries in implementing social return on investment
  25. Machine Learning and Knowledge Discovery in Databases
  26. Challenges in detecting proximal effects of existential threat on lie detection accuracy
  27. Lyapunov stability analysis to set up a PI controller for a mass flow system in case of a non-saturating input
  28. »HOW TO MAKE YOUR OWN SAMPLES«
  29. Changing Data Collection Methods Means Different Kind of Data
  30. Design of controllers applied to autonomous unmanned aerial vehicles using software in the loop
  31. Exploration strategies, performance, and error consequences when learning a complex computer task