In 1994 Langford and Hellman introduced differential-linear cryptanalysis, which involves building a differential-linear distinguisher by concatenating a linear approximation with such a (truncated) differential that with probability 1 does not affect the bit(s) concerned by the input mask of the linear approximation. In 2002 Biham, Dunkelman and Keller presented an enhanced approach to include...

In the last years, an increasing number of computing systems are being realized taking advantage of autonomous agents. Traditional software engineering methodologies are insufficient to be used in the development of such systems because of the particular characteristics of autonomous agents. Therefore, a lot of work has been done to extend traditional software engineering methodologies for agen...

Advances in typing methodologies have been the driving force in the field of molecular epidemiology of pathogens. The development of molecular methodologies, and more recently of DNA sequencing methods to complement and improve phenotypic identification methods, was accompanied by the generation of large amounts of data and the need to develop ways of storing and analysing them. Simultaneously,...

The Service-Oriented paradigm, which conceives software resources as discoverable services available on a network, is proving an effective approach for providing business solutions in distributed and heterogeneous computing environments. However, due to the different and numerous issues to face, it is witnessing a growing interest in the use of methodologies suitable for supporting the developm...

one of the main features of high throughput computing systems is the availability of high power processing resources. cloud computing systems can offer these features through concepts like pay-per-use and quality of service (qos) over the internet. many applications in cloud computing are represented by workflows. quality of service is one of the most important challenges in the context of sche...

In recent years, the application of high-performance and distributed computing in scientific practice has become increasingly wide-spread. Among the most widely available platforms to scientists are clusters, grids, and cloud systems. Such infrastructures currently are undergoing revolutionary change due to the integration of many-core technologies, providing orders-of-magnitude speed improveme...

Satellite imagery provides a large amount of useful information. To extract this information and understand them may require huge computing power and processing time. Distributed computing can reduce the processing time by providing more computational power. GRASS, an open source software, has been used for processing the satellite images. To let the GRASS modules benefit from distributed compu...

This paper evaluates six published data fusion strategies for hydrological forecasting based on two contrasting catchments: the River Ouse and the Upper River Wye. The input level and discharge estimates for each river comprised a mixed set of single model forecasts. Data fusion was performed using: arithmetic-averaging, a probabilistic method in which the best model from the last time step is ...

The latest technological advances, which introduced innovative and more affordable devices, have contributed to boost the practical application of research in the field of ubiquitous computing (ubicomp). For the development of applications in this area, we need an adequate software infrastructure. In order to do so, we have proposed Continuum, an infrastructure based on service-oriented archite...

Research on ubiquitous computing (UC) infrastructures at the Telecooperation Group emphasizes ears-and-mouth devices for nomadic users. In this context, the following document describes the prototype of such a device. This voicecentric headset features a Bluetooth radio for wireless network connectivity and a combination of sensors to gather context information, such as the location of the mobi...