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With the advent of the military initiated NavStar
global positioning system in the 1970's, satellites have begun to play a larger
role in the realm of public interest. Using the technologies behind the
gps network (information gathering, processing, analysing, and processing), the
weather monitoring station will begin to address issues of technology, monitoring
(globally and locally), networking, and distribution in an attempt re-think the
importance and roll of the station within the global network of information systems. Systems
definition: A
system is a collection of interacting parts functioning as a whole. It is
distinguishable from its surroundings with recognizable boundaries. The
function depends upon the arrangement of the parts and will change in some way
if parts are added, removed, or changed. The system has properties that
are emergent, that is they are not contained within any of the parts they exist
at a higher level of description. Swarm intelligence and cellular automata
are two (intermingled) methods of understanding and tracking chaotic, non-linear
systems such as weather. The
study of swarm intelligence in the natural environment (flocks, herds) vis a vis
the abstract model of cellular automata, will focus on the relationship between
"agents" within the larger network, their relationship with one another on a localized,
discreet level. The study of self-organizing systems will aid in understanding
"optimization" tactics relative to the study of weather patterns, and weather
prediction. The logic of swarm intelligence will inform the distribution
of network "duties" and handling of "information", and ultimately inform the programmatic
distribution of the station and it's associated program. The
program of this facility Is meant to be a "hybridized" form of weather/ deployment/
distribution/ and research facility running 24 hours a day 365 days a year with
a goal to provide real time data via gps and geostationary satellite systems to
a multitude of recipients. The
corporation: The
goal of this project is to provide a schema/ design for a collaborative umbrella
corporation which equips, distributes, and expedites information on current weather
phenomenon, acting as a central core for international government agencies. Program Weather
monitoring station (nodal) Functioning
as a hybridized structure acting as an optimal state placeholder within the system
of weather monitoring. The
program Search and rescue center
(decentralized) 1/
deployment center for long range (global), and localized weather "probes" 2/
search and rescue center for the north Atlantic region, capable of extended rescue
missions into the surrounding Atlantic region. 3/
long range weather gathering/ prediction station monitoring oceanographic and
meteorological phenomenon. The
station will maintain/ administer 1)
an airfield from which to host and launch weather probes
and SAR missions 2)
a shipyard from which to launch and equip vessels with
localized probes and buoys 3)
data processing and r&d laboratories for the creation
of new technologies and data analysis/ distribution 4)
living quarter to maintain a 24hr crew for field research
and data crunching Method: In
using the idea of network association, positioning, and navigation within swarm
intelligence, Maya will be used as an "optimizing" tool mapping out and generating
multiple iterations of optimal network configurations. The resulting iterations
will serve as a study used to approximate and distill programmatic distribution
relative to the global network conditions, and local Icelandic attractors. 1/
network anaylysis 2/ network animation
of site 3/ multiple iterations and
interpretation 4/ extraction of "optimized"
program on site 5/ design to
gain a better understanding of self organizational behavior, a target was realized
in terms of the goal (creating a self organizing model to analyze). The
objective was to be able to produce a model with characteristics, which were based
upon self-organizing principles and the notion of the feedback loop. The
model begins to take on multiple iterations through time as an effect of memory
and learning (of agents within the system). Conclusions: The
study of chaotic non-linear systems is essential to the tracking, monitoring and
prediction of "long" range weather prediction. System behaviors are random
and unpredictable. Ideally, the network of weather information systems (used
as a general term) would maintain an optimal position in order to track and monitor
changing weather patterns. Thus, a desirable system would be one, which
is adaptive and is capable of responding to changing chaotic conditions.
Swarm intelligence within this network system is thus a desirable and complimentary
aspect to the idea of weather monitoring. Within this notion of weather
forecasting and prediction, an integrated system of satellite based search and
rescue outposts will be integrated into the program of the station. This
brings with it a degree of efficiency and optimization in order for the accurate
predication of weather, and the deployment of search and rescue missions. Thus,
the station will reflect the idea of "swarm optimization" within the complex adaptive
system of weather monitoring devices and means.
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[04-2003] |
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