Background: Proteins, especially larger ones, are often composed of individual evolutionary units, domains, which have their own function and structural fold. Predicting domains is an important intermediate step in protein ...
Background: Prediction of protein structures from their sequences is still one of the open grand challenges of computational biology. Some approaches to protein structure prediction, especially ab initio ones, rely to some ...
Biomechanical performance is an important factor for developing tennis players. The tennis serve happens so quickly that it can be difficult for even the trained eye of an experienced coach to identify the miniscule movement ...
Several papers show that symbolic regression is suitable for data analysis and prediction in financial markets. Grammatical Evolution (GE), a grammar-based form of Genetic Programming (GP), has been successfully applied ...
Background :
Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio case but also when homology information ...
The ability to identify the behavior of people in a home is at the core of Smart Home functionality. Such environments are equipped with sensors that unobtrusively capture information about the occupants. Reasoning mechanisms ...
Cardiovascular (CV) disease is a leading cause of death in populations with Spinal Cord Injury (SCI) and is contributed to by a lack of opportunities to engage in physical activity as well as limited motor function [1]. ...
In this paper we describe the adaptation and parameterization of environmental
auditory event structures for use in a real-time musical synthesizer. In doing so,
we have developed a new software musical instrument based ...
In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. To address such a problem, in this paper we define ST2 ODMGe, a ...
In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. In this paper we define ST2 ODMGe, a multigranular spatio-temporal ...
Shared resource pools are facilities featuring a certain amount of resources which can be used by different applications. For managing resources in such pools, the demand of each application can be used. Such a demand, ...
We present a new method of reducing the error in predicted wind speed, thus enabling better management of wind energy
facilities. A numerical weather prediction model, COSMO, was used to produce 48 h forecast data every ...
Pervasive Health seeks to harness developments in pervasive computing
technologies and harness them in the health domain. This domain may be
interpreted in its widest possible sense, including the medical aspect both ...
This is the second year in which a team from University College Dublin has participated in the Multi Agent Contest. This paper describes the system that was created to participate in the contest, along with observations ...
Ambient Assisted Living (AAL) is a societal imperative in many countries due to their aged demographic profile. Ambient Intelligence (AmI) offers a viable and intuitive framework by which such systems may realised in ...
This paper details the implementation of a software framework that aids the development of distributed and self-configurable
software systems. This framework is an instance of a novel integration strategy called SoSAA ...
The approach described advocates the use of a multi-agent system, and specifically the use of multi-agent distributed constraint optimisation algorithms. Developing software for low powered sensing devices introduces several ...
This paper introduces an agent-based domestic electricity consumption advisory system. It reflects upon the diffculties of realizing the ubiquitous sensing vision which underpins such systems. It advocates the need for an ...