Copyright is held by the author/owner(s). TEI’14, Feb 16 – Feb 19, 2014, Munich, Germany. Abstract The paper investigates how robust layered subsumption is acting both digitally and through functionality embodied in the material of a building system of architecture. We describe a building system with embedded computational control over the building process, with the purpose of arguing how layer...

While many soft/software radio architectures have been suggested and implemented, there remains a lack of a formal design methodology that can be used to design and implement these radios. This article presents a unified architecture for the design of soft radios on a reconfigurable platform called the layered radio architecture. The layered architecture makes it possible to incorporate all of ...

We propose an Euro banknote recognition system using two types of neural networks; a three-layered perceptron and a Radial Basis Function (RBF) network. A three-layered perceptron is well known method for pattern recognition and is also a very effective tool for classifing banknotes. An RBF network has a potential to reject invalid data because it estimates the probability distribution of the s...

One of the most promising frontiers of bioengineering is the controlled release of a therapeutic drug from a vehicle across the skin (transdermal drug delivery). In order to study the complete process, a multiphase mathematical model describing the dynamics of a substance between two porous coupled media of different properties and extents is presented. A system of partial differential equation...

The processes of Coulomb gas ordering in 3D layered system are studied by means of Brownian dynamics approach. It is found that at different densities of the carriers the 3D lattice of charges as well as new specific structures are possible in the system. In particular, at some small density the particles inside the layers can associate into droplets that collectively repulse between neighbouri...

We show how a simple layered system can selforganize into a set of distinct states and qualitatively different behaviors as a result of learning a robotic delayed response task. Our approach is based on an architecture where higher levels are able to dynamically modulate the lower reactive mapping when needed.

In this paper we present an Image-Based Rendering method for post-warping LDI’s in real-time on existing systems. The algorithm performs accurate splatting at low computational costs, reduces memoryaccess bottlenecks, enables us to trade-off the quality for the speed, and is simple to implement.