1.got it setup as home media pc
2.youtube viedeos have bluish tint,known problem no solution
3.excellent gui
4.could not get upnp to work
5.need a good suggestion for a dvb tuner equivalent for c9700N so that
a pvr can be made
6.xbmc as front end working like a charm
7.mythtv backend highly stable
Sunday, April 8, 2012
outdoor
1.tent cabin 8 (weather master) rented
2.chair/table rented
3.diesel can (electricity+vehicle)
4.honda portable (~2kva,12hrs) rented
5.ICE amp
6.pico proj
7.sleep bag rented
8.mini fridge
9.organized camping site
stay
trekking
10.dimensions mapping to vehicle
11.outdoor cooking equip and others
12.hd sony handy cam
2.chair/table rented
3.diesel can (electricity+vehicle)
4.honda portable (~2kva,12hrs) rented
5.ICE amp
6.pico proj
7.sleep bag rented
8.mini fridge
9.organized camping site
stay
trekking
10.dimensions mapping to vehicle
11.outdoor cooking equip and others
12.hd sony handy cam
softw devel
structured understanding
reflected by documentation
structured design
reflected in code
reflected by documentation
structured design
reflected in code
software develop
1.Is like drinking a large tub of water with perforated glass
2.without knowing dimensions of tub we try to finish asap
3.as we finish cup by cup perforations loose things back
4.It definitely takes a fixed time
5.everyone has a rate of consumption
6.everyone has rate of loss
7.experience try to optimize rate of loss that we still make progress
8.we try too much to finish we exhaust loose interest
9.fact is the tank and water is finite,at whatever rate its bound to be consumed
2.without knowing dimensions of tub we try to finish asap
3.as we finish cup by cup perforations loose things back
4.It definitely takes a fixed time
5.everyone has a rate of consumption
6.everyone has rate of loss
7.experience try to optimize rate of loss that we still make progress
8.we try too much to finish we exhaust loose interest
9.fact is the tank and water is finite,at whatever rate its bound to be consumed
what can fly AI artif intelli
1.structured fact storage machine
2.structured fact interpolation machine
3.lead tracing algorithm
All such that the by products of iterations will be stored and remembered
and used as raw data for future interpolations
Will give intelligent suggestions in dynamic scenarios
Can iterate by itself in free time to generate new facts(keeping record of how to reach there)
User inputs basic parameters and the system generates leads and suggestions and answers
questions
rules,facts and data storage will form a grid and can be expanded infinitely
protocols for the above will allow wisdom to be stored distributed in grids
Mega discrete intelligence network
Integration of sensors with the network can create self working entities
What is a concrete example?
How it will look like in real world?
I have a web interface through which i can feed rules , data and desired results
the system interpolates and comes up with paths to the same or stops without
result, i feed more rules and data , system runs again giving its best shot
set of rules and data if designed as protocol can be hooked up together
so that networked usage will become possible
intelligence will become packetized because , with the ability to send such libraries
to a context that is remote and conforming to protocol resolutions can be found
linking location,context sensors,banking parameters,personal schedulers,communication
devices,mobility system intelligent suggestions can be put forth by the system
2.structured fact interpolation machine
3.lead tracing algorithm
All such that the by products of iterations will be stored and remembered
and used as raw data for future interpolations
Will give intelligent suggestions in dynamic scenarios
Can iterate by itself in free time to generate new facts(keeping record of how to reach there)
User inputs basic parameters and the system generates leads and suggestions and answers
questions
rules,facts and data storage will form a grid and can be expanded infinitely
protocols for the above will allow wisdom to be stored distributed in grids
Mega discrete intelligence network
Integration of sensors with the network can create self working entities
What is a concrete example?
How it will look like in real world?
I have a web interface through which i can feed rules , data and desired results
the system interpolates and comes up with paths to the same or stops without
result, i feed more rules and data , system runs again giving its best shot
set of rules and data if designed as protocol can be hooked up together
so that networked usage will become possible
intelligence will become packetized because , with the ability to send such libraries
to a context that is remote and conforming to protocol resolutions can be found
linking location,context sensors,banking parameters,personal schedulers,communication
devices,mobility system intelligent suggestions can be put forth by the system
Wish list
Wish list HD (128kbps stereo) what is the best container??mp3??
1.chikku bukku raile
2.urvasi
3.telephone mani
4.mukkala
5.puthan puthu bhumi
6.poovukkul
7.vande matharam - chanda suraj
8.duet - en kadhale
9.vandi choli chinna rasu - kaatru panamaram
10.puthiya mugam
11.margahzi poove
12.aatrangara marame
13.baba
14.others
1.chikku bukku raile
2.urvasi
3.telephone mani
4.mukkala
5.puthan puthu bhumi
6.poovukkul
7.vande matharam - chanda suraj
8.duet - en kadhale
9.vandi choli chinna rasu - kaatru panamaram
10.puthiya mugam
11.margahzi poove
12.aatrangara marame
13.baba
14.others
Wednesday, March 28, 2012
xbmc
1.xbmc backend system with windows
2.tuner on the backend
3.dlna support,upnp
4.internet streaming
5.mobile streaming
6.secure streaming
7.backend has link with AVR through hdmi
remote support
8.NAS system on all local pc's , dlna support software , upnp support
9.generic tv needs a AV card and pc and wifi
10.beagle board needs xbmc
11.remote controlled keyboard equivalent
12.Is explicit web server needed wen using xbmc
13.find most appropriate dlna server
2.tuner on the backend
3.dlna support,upnp
4.internet streaming
5.mobile streaming
6.secure streaming
7.backend has link with AVR through hdmi
remote support
8.NAS system on all local pc's , dlna support software , upnp support
9.generic tv needs a AV card and pc and wifi
10.beagle board needs xbmc
11.remote controlled keyboard equivalent
12.Is explicit web server needed wen using xbmc
13.find most appropriate dlna server
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