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USC CSCI 599 - Week11_67

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Implementing a Sentient Computing SystemSentient Computing SystemsImplementing a Sentient System: Active Bat (1)Implementing a Sentient System: Active Bat (2)Implementing a Sentient System: Active Bat (3)Modeling the EnvironmentSoftware Support for Sentient SystemsApplications (1)Applications (2)FutureLimitationsPowerPoint PresentationLocation Systems For Ubiquitous ComputingIntroductionLocationLocalized Location ComputingQualities of a Positioning systemSlide 18Survey of Location SystemsResearch DirectionsResearch Directions (Contd.)Strength And WeaknessesImplementing a Sentient Computing SystemPresented by:Jing Lin , Vishal Kudchadkar , Apurva ShahSentient Computing SystemsSentient computing systems are systems which can change their behavior based on a model of the environment they construct using sensor data.Sentient computing systems may hold the key to managing tomorrow’s device-rich mobile networks.Implementing a Sentient System: Active Bat (1)Location sensingImplementing a Sentient System: Active Bat (2)Current EmbodimentAccuracy and Precision95% of 3D Bat position readings are accurate to within 3cmMaximum Location update rate across each radio cell 150 updates per secondImplementing a Sentient System: Active Bat (3)Scheduling and power saving The scheduling process allows the Bat to enter a low-power sleep state.A 10-bit local ID is used to achieve shorter addressing message and power saving.  Nonmoving Bats are placed into a low-power sleep state.Modeling the EnvironmentUse data from sensors and from servicesFilter the incoming location data using knowledge of tracked objects’ dynamicsUpdate the world model using filtered dataIncrease fidelity of the model by determining if someone appears to be seatedSoftware Support for Sentient SystemsSpatial monitor Formalizes imprecise spatial relationships in terms of containment and overlapping relationships between suitable 2D spacesTimeline-based data storage Data generated by network appliances should be stored in a way that does not require the user to specify its destination.Applications (1)BrowsingModel browsers display the environment’s current state, e.g., continuously updated map displaying personnel, furniture, telephones, workstations and other relevant informationFollow-me SystemsServices are made ubiquitously available to “users” by moving their interfaces to the nearest appropriate input or output deviceApplications (2)Novel user interfaces Mice  Virtual buttons  Augmented realityData Creation , Storage and Retrieval.FutureSentient computing is more than a solution to the problems of configuration and personalization. The environment itself will become the user interface.LimitationsActive Bat requires a large fixed-sensor infrastructure throughout the ceiling. The system is sensitive to the precise placement of sensors.Therefore, there are disadvantages in scalability, ease of deployment, and cost.Location Systems For Ubiquitous ComputingBy Vishal Kudchadkar ,Jing Lin ,Apurva ShahIntroductionNew mobile systems will need to know the location of the things.Location sensing techniques ….. Triangulation : uses of multiple measurements from known points to find the locationProximity : measure nearness from known pointsScene analysis : exam a view from particular vantage pointLocationPhysical Location and Symbolic LocationSymbolic Location encompasses abstract ideas of where something is.Absolute versus RelativeIn absolute system a frame of reference is shared by all the objects.In a relative system each object will have it’s own frame of referenceAn absolute location can be transformed into a relative location – relative to a second point of referenceLocalized Location ComputingSome systems have location computing capability and insist that they compute their own locations and hence can protect their privacy.Some systems require objects to periodically respond to a broadcast to tell their position to the system.Qualities of a Positioning systemAccuracy and Precision: The distance or grain-size denotes the accuracy. Sensor fusion can help improve accuracy. We generally determine the accuracy of the system by checking if it is suitable for the applicationScale :Consider coverage as the area per unit of infrastructure and the number of objects the system can locate per unit area.Qualities of a Positioning systemRecognition : Applications may take specific action depending on the location of the object and hence location recognition is needed in such systemsCost : Time Cost includes time to install and setup the system and Space cost is the space the system requiresLimitations :Systems may not function in a specific environment.Survey of Location SystemsActive Bridge, Active Bat, Cricket, Radar MotionStar magnetic tracker, Easy Living, Smart Floor E911 are discussed in the paper. We will present one of the systems in detail in the following paper.Research DirectionsSensor Fusion: Defined as the use of multiple sensor technologies to create hierarchical and overlapping levels of sensingAd hoc Location sensing :This method uses techniques to locate objects without the use of a central information center or a browserIn this method of locating objects , the nearby objects share information to build about the systemResearch Directions (Contd.)Ad hoc Location sensing :Triangulation, scene analysis or proximity location sensing methods are used Location – sensing system accuracyStrength And WeaknessesStrength A good introductory paper on location systems.It compares pros and cons of various location systems.Provides a taxonomy which can be used to evaluate the suitability of a location system.WeaknessThis paper addresses only hardware issues but fails to address software


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USC CSCI 599 - Week11_67

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