Smart Dust: Knowledge Analysis of Environmental Allergens and Pollutants in Delhi through Millimetre Motes – using Data Mining
Navneet Popli1, Pritika Sachdeva2, Gautam Bhardawaj3
1Navneet Popli, Asst. Prof., GGSIPU, New Delhi, India.
2Pritika Sachdeva, Pursuing MCA from GGSIPU University, New Delhi, India.
3Gautam Kumar, Pursuing MCA from GGSIPU University, New Delhi, India.
Manuscript Received on August 11, 2014. | Revised Manuscript Received on August 12, 2014. | Manuscript published on August 15, 2014. | PP: 20-40 | Volume-1 Issue-1, August 2014.
Open Access | Ethics and Policies | Cite
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: We made a system of smart dust motes to inform a person about various kinds of allergies that he may be prone to if he enters a particular area in Delhi. We used, Mica Z Motes from the company ‘Crossbow’. They were placed in various areas of Delhi. All this data went to the cloud. Here we had a ‘Personal Health Record’ of a person and details like chemist shops and doctors in that area. We also put details of online doctors whom the user can consult. Useful analysis like what precautions can he take, what is the name, phone number and shortest path to a nearby local doctor or a chemist shop etc. was derived from this application.
Keywords: Smart Dust, Aeroallergens, Motes, Sensor, Mica Z Motes, Data Mining, Rapid Miner, Hadoop