my name is in line with the department of systems and computer engineering and my

close to talk today is about what research with sensors champion sensors in the vitamins

in palliative care to we looked at putting

sensors into palliative care under the bed mattress is we put twenty four types of

sensors in order to monitor people comfortably in a way that interfere with their comfort

and we're of the first time we have our we had this study going where

we have been able to monitor palliative care patients at the end

the end of like what we found from that is that we can monitor how

much they're in bad how much the rolling in bad and getting their respiration and

breathing signals out from that we're looking at predictors of mortality and do we know

can we tell interest rate

operation signals that within the next couple weeks disparity field i and can we then

be able to make better decisions are transferring them or not based on that are

valuable spectrum part of computer engineering university

and this is my thesis called towards personalised towards personalise interact tones

and basically what that means is that when you're given and individuals are sequenced genome

so their list of genes that they have in their body

we wanna be able to predict the effects that and individuals mutations have on the

protein interactions

so the current bill this system we need a lot of input data so a

lot of individuals sequence you know the test to test our system and to build

our system

and as a project called d thousand genome switch five sequenced and may be available

a bunch of anonymous individuals sequence data

and this told about how to twenty five terabytes

which is pretty huge amount huge amount of data is we need to operate on

this and identify candy mutations and things would like to test again some users as

a as a system to build our

our own system

hi my name is alex the as and i am a graduate student at carleton

currently studying statistics and i do the project on analysing national hockey league play by

play data so the national hockey league keeps track of all sorts plays like a

one during the game displays are defined the stuff like face off

thoughts a periods beginning and ending shots shot blocks penalties goals and all that sort

of and stuff and i decided this to take a look at some of the

most important events and see what kind of information i could get out of it

so when the big one big arguments right now in the n h l is

whether or not we can measure

measured success based on how long they possess about so the energy really tract this

but luckily we can track shots or in shots against and there's pretty good relationship

that says if you team takes more shots and i have shots against them then

they probably have the pack more often and are probably more successful

so this is essentially what i looked at and upon the relationship in general hold

across the we got wraps up here and in them you can see that teams

that have a higher percentage of the time ten to ten or more points over

the course of the year and the teams or more points tend to get the

playoffs and win championships