Aneeta,
If I understand the figure at
<http://db.csail.mit.edu/labdata/labdata.html> this problem deals
with sensors in a lab that is probably isolated from outdoor
temperature changes.
I assume the predictive model must detect when a "rampaging 800
pound gorilla" messes with a sensor. Do we also have to detect the
pawing of a "micro-mouse" as well?
The collected data also seem to have other parameters which would
be valuable--are you limited to just temperature?
Clint
--
Clint Bowman INTERNET: cl...@ecy.wa.gov
Air Quality Modeler INTERNET: cl...@math.utah.edu
Department of Ecology VOICE: (360) 407-6815
PO Box 47600 FAX: (360) 407-7534
Olympia, WA 98504-7600
On Thu, 22 Oct 2009, Thomas Adams wrote:
Aneeta,
You will have to have a seasonal component built into your model, because the
seasonal variation does matter, particularly -where- you are geographically
(San Diego, Chicago, Denver, Miami are very different). Generally, there is a
sinusoidal daily temperature variation, but frontal passages and
thunderstorms, etc., can and will disrupt this nice pattern. You may have to
tie this into temperature predictions from a mesoscale numerical weather
prediction model. Otherwise, you will end up with lots of misses and false
alarms…
Regards,
Tom
Aneeta wrote:
The data that I use has been collected by a sensor network deployed by
Intel.
You may take a look at the network at the following website
http://db.csail.mit.edu/labdata/labdata.html
The main goal of my project is to simulate a physical layer attack on a
sensor network and to detect such an attack. In order to detect an attack
I
need to have a model that would define the normal behaviour. So the actual
variation of temperature throughout the year is not very important out
here.
I have a set of data for a period of 7 days which is assumed to be the
correct behaviour and I need to build a model upon that data. I may refine
the model later on to take into account temperature variations throughout
the year.
Yes I am trying to build a model that will predict the temperature just on
the given time of the day so that I am able to compare it with the
observed
temperature and determine if there is any abnormality. Each node should
have
its own expectation model (i.e. there will be no correlation between the
readings of the different nodes).
Steve Lianoglou-6 wrote:
> Hi,
>
> On Oct 21, 2009, at 12:31 PM, Aneeta wrote:
>
>
> > Greetings!
> >
> > As part of my research project I am using R to study temperature data
> > collected by a network. Each node (observation point) records
> > temperature of
> > its surroundings throughout the day and generates a dataset. Using the
> > recorded datasets for the past 7 days I need to build a prediction
> > model for
> > each node that would enable it to check the observed data against the
> > predicted data. How can I derive an equation for temperature using the
> > datasets?
> > The following is a subset of one of the datasets:-
> >
> > Time Temperature
> >
> > 07:00:17.369668 17.509
> > 07:03:17.465725 17.509
> > 07:04:17.597071 17.509
> > 07:05:17.330544 17.509
> > 07:10:47.838123 17.5482
> > 07:14:16.680696 17.5874
> > 07:16:46.67457 17.5972
> > 07:29:16.887654 17.7442
> > 07:29:46.705759 17.754
> > 07:32:17.131713 17.7932
> > 07:35:47.113953 17.8324
> > 07:36:17.194981 17.8324
> > 07:37:17.227013 17.852
> > 07:38:17.809174 17.8618
> > 07:38:48.00011 17.852
> > 07:39:17.124362 17.8618
> > 07:41:17.130624 17.8912
> > 07:41:46.966421 17.901
> > 07:43:47.524823 17.95
> > 07:44:47.430977 17.95
> > 07:45:16.813396 17.95
> >
> I think you/we need much more information.
>
> Are you really trying to build a model that predicts the temperature
> just given the time of day?
>
> Given that you're in NY, I'd say 12pm in August sure feels much
> different than 12pm in February, no?
>
> Or are you trying to predict what one sensor readout would be at a
> particular time given readings from other sensors at the same time?
>
> Or ... ?
>
> -steve
>
> --
> Steve Lianoglou
> Graduate Student: Computational Systems Biology
> | Memorial Sloan-Kettering Cancer Center
> | Weill Medical College of Cornell University
> Contact Info: http://cbio.mskcc.org/~lianos/contact
>
> ______________________________________________
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>
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