logging in or signing up Constructing an Ambient intelligence development framework hoangbv15 Download Post to : URL : Related Presentations : Share Add to Flag Embed Email Send to Blogs and Networks Add to Channel Uploaded from authorPOINT lite Insert YouTube videos in PowerPont slides with aS Desktop Copy embed code: Embed: Flash iPad Copy Does not support media & animations WordPress Embed Customize Embed URL: Copy Thumbnail: Copy The presentation is successfully added In Your Favorites. Views: 136 Category: Science & Tech.. License: All Rights Reserved Like it (0) Dislike it (0) Added: June 03, 2012 This Presentation is Public Favorites: 0 Presentation Description No description available. Comments Posting comment... Premium member Presentation Transcript Constructing an Ambient Intelligence Development Framework: Constructing an Ambient Intelligence D evelopment F ramework Student: Bui Vu Hoang Co-supervisor: Assoc. Prof. Bui The Duy Co-supervisor: Dr. Vu Thi Hong NhanContent: Content Introduction Our Ambient Intelligence Development Framework Implementation & Results Conclusion DemoContent: Content Introduction Our Ambient Intelligence Development Framework Implementation & Results Conclusion DemoIntroduction: Introduction Ambient Intelligence was Introduced by the Information Society Technologies Advisory Group in 2001. There are many Ambient Intelligence development frameworks Exp : WOSH [ http :// wosh.sourceforge.net/docs , 2007] CAMPUS [ Karin et al, 2008]Contribution: C ontribution Problem: Ambient Intelligence requirements satisfaction Our solution: A framework that intuitively satisfies the requirementsAmbient Intelligence Requirements: Ambient I ntelligence Requirements Ubiquitous computing Distributed, collaborative Plug-n-play Ubiquitous communication No coupling Real-time data streams Intelligent user interfacesWOSH: WOSH Advantages Feature extensive Suitable for large areas Disadvantages Coupling between components Possible duplicationsCAMPUS framework: CAMPUS framework Advantages No coupling Global communication Disadvantages No data storageMICA framework: MICA framework A framework for agent-based systems Developed by New South Wales University.MICA: MICA Blackboard: A central place for Communication Data storage Agent and Blackboard transports Developers can focus on the componentMICA: MICA Transports’ mechanisms are slow No buffer to ensure data rate No mechanism to provide seamless data streaming componentsContent: Content Introduction Our Ambient Intelligence Development Framework Implementation & Results Conclusion DemoOur AmI Development Framework: Our AmI Development Framework Agent-based Based on MICA framework Supports real-time data streamingDesign goals: Design goals Plug-n-play Agents can join and start operating Collaboration Multiple agents can access a single data stream No direct coupling Agents operate without knowing the existence of other agentsOverall view: Overall viewBroadcaster & Receiver Registration: Broadcaster & Receiver RegistrationStreaming Registration Monitor: Streaming Registration MonitorBroadcaster Registration: Broadcaster RegistrationReceiver Registration: Receiver RegistrationOverall view: Overall viewBroadcaster stream: Broadcaster streamReceiver stream: Receiver streamComponent design: Component designOverall view: Overall viewContent: Content Introduction Our Ambient Intelligence Development Framework Implementation & Results Conclusion DemoImplementation: Implementation Video encoder/decoder: Xuggle RTP stack: Efflux Java, Eclipse IDE Video format: MPEG4, 320x240p, 25fps 3 Intel Core i3 2.5GHz machines with 2GB of RAM running on Windows 7 Ultimate 32bit Wired networkResults: Results Avg. speeds Broadcaster Receiver Packets/s 2600 90 bits/s 30M 1000k Standard videoconferencing quality: 384kbps Standard audio quality: 128kbps High quality Skype video call: 500kbpsContent: Content Introduction Our Ambient Intelligence Development Framework Implementation & Results Conclusion DemoConclusion: Conclusion A framework design that supports Dynamic components Collaborative components No direct coupling between components A working prototype with high performanceFuture work: Future work Create an actual small scaled AmI system in our lab with the framework Make improvements to the framework Fix bugs Add more features Long term goal: promote our framework to be a standard and high quality AmI development frameworkContent: Content Introduction Our Ambient Intelligence Development Framework Implementation & Results Conclusion DemoDemo: DemoThank you for listening: Thank you for listening You do not have the permission to view this presentation. In order to view it, please contact the author of the presentation.