• Matlab
  • Simulink
  • NS3
  • OMNET++
  • COOJA
  • CONTIKI OS
  • NS2

Efforts to Realize Ambient Intelligent Environments

Ambient Intelligence (AmI) is an emerging vision that aims to realize intelligent environments which are sensitive and responsive to the users’ needs and behaviors. This paper presents an insight on the benefits that type-2 Fuzzy Logic Systems (FLSs) can offer towards the efforts to realize Ambient Intelligent Environments (AIEs).

We will introduce research results from the Scaleup project showing different type-2 FLSs based applications in AIEs. Such applications include intelligent machine vision systems, blending real and virtual realities over dispersed geographical areas and allowing natural communication between the AIE and humans.

Related Fuzzy Logic Projects:

  1. A Fuzzy Logic Controller for Autonomous Operation of a Voltage Source Converter-Based Distributed Generation System
  2. Fuzzy-Logic-Based Terrain Identification with Multisensor Fusion for Transtibial Amputees
  3. Towards Agrobots: Trajectory Control of an Autonomous Tractor Using Type-2 Fuzzy Logic Controllers
  4. Position Estimation and Smooth Tracking with a Fuzzy Logic-Based Adaptive Strong Tracking Kalman Filter for Capacitive Touch Panels
  5. A Fuzzy Logic Based Retrofit System for Enabling Smart Energy Efficient Electric Cookers
  6. Fuzzy Logic for Adaptive Instruction in an E-learning Environment for Computer Programming
  7. Smart Cloud Storage Service Selection Based on Fuzzy Logic, Theory of Evidence and Game Theory
  8. Intelligent Fashion Recommender System: Fuzzy Logic in Personalized Garment Design
  9. A Local Statistical Fuzzy Active Contour Model for Change Detection
  10. Accurate Bolt Tightening Using Model-Free Fuzzy Control for Wind Turbine Hub Bearing Assembly
  11. An Improved Spiral Dynamic Optimization Algorithm With Engineering Application
  12. Observed-Based Adaptive Fuzzy Tracking Control for Switched Nonlinear Systems With Dead-Zone
  13. Discovering Regions Where Users Drive Inefficiently on Regular Journeys
  14. Advanced Pitch Angle Control Based on Fuzzy Logic for Variable-Speed Wind Turbine Systems

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