We are doing research to learn how to
integrate a legacy wind and solar energy generation systems in
our UTSA campus to supervise multiple signals (inputs, outputs)
to result in a higher performance and robust behavior to meet
demand, store excess energy and at the same time create a
micro-grid on existing power network.
Goals. Install hardware
of renewable energy systems in UTSA campus including sensor and
network connections to create a monitoring station to study,
learn and later improve the overall interoperability.
Many meaningful tasks require the processing of larger and
larger datasets (so-called "Web-scale" problems). This requires
harnessing the power of tens, hundreds, or even thousands of
machines. Due to economies of scale and the development of
virtualization technology, utility computing is an emerging
model for provisioning computing resources
Try our web-based operating system developed at ACE Lab
here
Note: Please register at the above link to use our CloudOS
Highly-interactive applications can be delivered from "within
the clouds", perhaps replacing traditional desktop software as
we know today.
Please view the below video for better understanding
of Cloud Computing
As manned
aircraft missions become increasingly expensive and difficult to
perform, alternative approaches are crucial to industry,
government agencies, and the military. To answer these needs,
Autonomous Control Engineering Lab (ACE) is developing new
unmanned aerial vehicle (UAV) technologies to perform missions
requiring long endurance and low operability and that entail
extreme environmental exposure and high risk.
Short takeoff and landing requirements
Extended mission duration
Payload Transport
Fully autonomous take-off and landing
Low-Cost operation
Image recognition
Fixed wing and rotor based aircrafts
Swarm Robotics, Swarm Optimization.
Build a swarm of landrovers
Simulate the behavior of ants and bees
Goals. Implementation of ANTZ algorithm on
the swarm.
