The objective of this research project is to determine the efficacy of enterprise mashups in the realm of business intelligence. Based on a deliberation of enterprise and end-user requirements for BI Mashups technologies and services, this project aims to formulate a utility framework for enterprise BI Mashups. The framework is expected to advance an understanding of business process requirements that can be satisfied through the use of enterprise BI Mashups, and also aid in the development of mashup toolkits targeted at BI end-users.
When a group of particles is released in a fluid, they will disperse throughout the solution via diffusion. If we consider a solution that is thick (like honey) in some regions and thin (like water) in others, where will the particles end up? Will they become trapped in the honey, concentrated in the water where they move freely, or evenly distributed throughout? It turns out the answer depends on the details of how the interface between the thick and thin regions are treated.
In order to accurately predict the mechanical properties of materials, it is necessary to obtain the true stress-strain curve of the material until failure. If the material is heterogeneous, more parameters are required including the true stress strain curve of all phases in the material and the strength of the interface between the various phases. This information is difficult to obtain though is it crucial for the modelling efforts.
Ultrafast lasers and especially femtosecond lasers offers new possibilities in the field of micromachining as they allow precise machining with almost no collateral damage around the machined features. Furthermore, the pulse duration (
The research project will look at better understanding the surface features obtained after femtosecond laser irradiation of metals and dielectrics. This includes ripple formation, microvoids formation, nano and microstructure modification, etc. In particular, two beam interference will be used to better control the morphologies obtain after irradiation.
Many microbial genomes have been completely sequenced. The presence/absence data for thousands of genes across a diverse array of species allow one to quickly identify genes that are functionally associated. Because of shared ancestry among biological species, such functional association needs to be phylogenetically controlled.
Bacteria and cells have different swimming abilities and strategies. It has been shown that it is possible to design funnel-shaped fences in microfluidic systems that force swimming cells to concentrate on one side of the fence. This is not unlike how lobster are captured!
In this project, we will simulate the swimming of hundreds of interacting cells in the presence of various geometrical features in order to optimize their separation.
Wireless Sensor Networks (WSN) contain large number of tiny, low cost sensors. Many sensor networks have mission critical tasks that involve data collection in remote, inaccessible or hostile environments, such as battle fields, deserts, mountains, etc. These sensors are normally monitored and managed by a trusted authority commonly known as sink or collector. In certain special classes of WSNs, this sink may not be online all the time. It visits and collects information from the nodes at certain intervals. Such WSNs are known as unattended wireless sensor networks (UWSNs) .
Traditionally, proofs of universal consistency of particular machine learning algorithms - including local learning algorithms such as k-NN classifier - are given under the assumption of data inputs being independent identically distributed random variables. This assumption is often too strong, for instance, when modelling learning and generalization of time series. A sequence of random variables X_1, X_2, ... is called exchangeable if the joint law of any finite subsequence is invariant under permutations of members of the subsequence.
It was Dr. Janice Singer, an IRAP-Industry Technology Advisor, who awarded Rafael the 1st prize in the poster competition and saw the great potential in Rafael’s and Larus' mutual interest in wireless sensors and robot networks.
The intern will research and develop an Energy Harvesting Device (EHD) prototype. This device will be used to power a Cargo Security Device (CSD) as well as charge the battery for the CSD. The reason for the battery is that the proposed EHD will not produce energy at all times but the CSD needs to continually be powered. The CSD is a unique tracking device used on large marine containers. The power requirements for the CSD are low but the device must function for several years with little to no human interaction.