Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Thesis Slides
1. COMMON-Sense Net Wireless Sensor Networks for Marginal Farming in India Jacques Panchard PhD Private Defense Advisor: Prof. Jean-Pierre Hubaux Jun 5, 2009
10. WSN Projects in Developing Countries Jun 5, 2009 Field State of the Art CSN Results Sensor-Tune Conclusion Arsenic detection Landslide prediction Water quality mgt Flood detection Road Monitoring Location Bangladesh India Malawi Honduras Sri Lanka Status Full deployment Simulation, laboratory Laboratory Preliminary deployment Laboratory Architecture 3-Tier Multi-cluster WSN 2-Tier Multi-cluster WSN Multi-hop WSN 2-Tier Multi-cluster WSN Delay-Tolerant Network with Data Mules Size 48 sensors 3 APs 65 (deployed) 600 (projected) 4 (projected) Unknown Unknown
11. WSN Projects in Developing Countries Jun 5, 2009 Field State of the Art CSN Results Sensor-Tune Conclusion Arsenic detection Landslide prediction Water quality mgt Flood detection Road Monitoring Platform Unknown TelosB SPOT Proprietary Proprietary Radio range < 100m 30 – 40m 200-300m 8 km (cluster) 25 km (inter-cluster) 30 – 40m Data Soil moisture Temperature pH Nitrates Rock strains pH Redox Turbidity Water pressure Acceleration Energy Solar panel Battery Solar panel Solar panel Car battery
12. System Description Jun 5, 2009 Field State of the Art CSN Results Sensor-Tune Conclusion
13. COMMON-Sense Net Jun 5, 2009 IISc CEDT Prof. Jamadagni EPFL/SDC Cooperation Fund EPFL SDC HYDRAM Prof. Mermoud MICS Cluster 2 Chennakeshava Trust (NGO) S. Rao LCA Prof. Hubaux, J. Panchard Field State of the Art CSN Results Sensor-Tune Conclusion
15. Test-beds Jun 5, 2009 Field State of the Art CSN Results Sensor-Tune Conclusion
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23. Sensor-Tune Jun 5, 2009 Field State of the Art Contribution Results Sensor-Tune Conclusion
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26. Sensor-Tune Jun 5, 2009 Field State of the Art Contribution Results Sensor-Tune Conclusion
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29. Prototype Jun 5, 2009 Field State of the Art Contribution Results Sensor-Tune Conclusion
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35. System Description Jun 5, 2009 Field State of the Art Contribution Results Sensor-Tune Conclusion
36. System Description Jun 5, 2009 Field State of the Art Contribution Results Sensor-Tune Conclusion
37. Design Science and participative Method Jun 5, 2009 3 Development 2 Suggestion 1 Awareness of Problem 4 Evaluation 5 Conclusion Community meetings led by a local faclitator Translation into a technical language: local facilitator and scientists Multidisciplinary development Participatory approach and apprenticeship Discussion and refinement of the artifact. (back to 1) Field State of the Art Contribution Results Sensor-Tune Conclusion
38. Protocol Description (Live use case) Jun 5, 2009 PDA Master Wireless Monitor Slave i Wait Init Start_Probing Info_request(seq_num, g_info*) … Compute g_info(i,t) if (g_info(i,t) < g_info*) Info_response(l_info, g_info) Info(l_info, g_info*) Probing(l_info, g_info) Delay D INIT ACTIVE CLOSE Info_request(seq_num, g_info*) Update g_info* Stop Stop_Probing Stop_Info Field State of the Art Contribution Results Sensor-Tune Conclusion
39. Clustering Jun 5, 2009 Field State of the Art Contribution Results Sensor-Tune Conclusion
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Editor's Notes
Good afternoon and welcome to my thesis defense. During the next 45 minutes, I will present the core of my work for the last 4 years: the COMMON-Sense Net project. The essence of this work is the application of emerging technologies for rural development in Developing Countries. In order to address this problem in a concrete and meaningful way, I focused on the design, implementation and assessment of wireless sensor networks to tackle some of the problems faced by marginal farmers in India, more precisely in Karnataka.
![COMMON-Sense Net ,[object Object],[object Object],[object Object],[object Object],[object Object],Jun 5, 2009 ,[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)