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Intelligent Environments

This article explores the concept of intelligent environments and their potential to acquire and apply knowledge about individuals and their surroundings to enhance their overall experience. It discusses various projects and major topics within this field, such as sensors, networking, databases, prediction, decision-making, robotics, privacy, and security. The article also delves into future directions, including smart appliances, ubiquitous computing, low-power wireless sensors, distributed databases, predictive and decision-making models, adaptive security, and virtual reality.

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Intelligent Environments

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  1. Intelligent Environments Conclusions and Future Directions Intelligent Environments

  2. Definitions • Intelligent • Able to acquire and apply knowledge • Knowledge is more than data • Environment • Surroundings • Intelligent Environment • An environment able to acquire and apply knowledge about you and your surroundings in order to improve your experience. Intelligent Environments

  3. Projects • Academic • UTA MavHome Smart Home • Georgia Tech Aware Home • MIT Intelligent Room • MIT House_n • Stanford Interactive Workspaces • UC Boulder Adaptive House • Commercial • IBM Smart Home • Microsoft Easy Living Intelligent Environments

  4. Major Topics • Sensors • Networking • Database • Prediction • Decision Making • Robotics • Privacy and Security Intelligent Environments

  5. Sensors • Issues • Placement • Power • Interfacing • Control • Smart sensors • Local memory • Local processing • Communication Intelligent Environments

  6. Networking • Wired • Phone line • Power line • New wire • Wireless • IEEE 802.11 • Bluetooth Intelligent Environments

  7. Networking (cont.) • Service Discovery • Jini • UPnP • Communication • CORBA • Java-RMI • DCOM Intelligent Environments

  8. Database • Storage requirements • Real-time sensor data • User data (esp. multimedia) • System information • Prediction and decision-making queries • Centralized vs. distributed • Sensor databases • Active databases • Push paradigm • Database triggers Intelligent Environments

  9. Prediction • Predicting inhabitant and environment behavior • Sensor fusion and data relevance • Concept drift • IE-specific prediction • Sequence matching • Hidden Markov models • Episode discovery Intelligent Environments

  10. Decision Making • IE as a rational agent • Choose action maximizing expected utility • States of IE • Utilities of states • Probability action will lead to state • Decision networks Intelligent Environments

  11. Robotics • Robotics for IE • Autonomy • Adaptability • Human-machine interfacing Intelligent Environments

  12. Privacy and Security • Physical and data security • Encryption • Firewalling • Biometrics • Degree of IE autonomy Intelligent Environments

  13. Special Topics • Intelligent robotic sensor agents for environment monitoring • Intelligent vehicles • Personalization (e.g., television guides) • Context-aware applications • Intelligent agent infrastructures Intelligent Environments

  14. Future Directions • Smart appliances • Plug-n-play everything (devices and software) • Ubiquitous/pervasive computing • Low-power, wireless, smart sensors • Low-power, wireless networks • Distributed, active databases Intelligent Environments

  15. Future Directions • Prediction and decision-making in uncertain, data-rich environments • Distributed, hierarchical, self-organizing, agent-based architectures • Versatile robotics • Adaptive security and biometrics • Virtual reality Intelligent Environments

  16. Future Directions • “Killer App” • Support for the handicapped and elderly • Generalization to larger environments • Communities • Office buildings • Shopping centers • Cities • Streets and highways Intelligent Environments

  17. Intelligent Environments Thank you! Intelligent Environments

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