The TCP transport layer protocol is designed for connections that traverse a single path between the sender and receiver. However, there are several environments in which multiple paths can be used by a connection simultaneously. In this paper we consider the problem of supporting striped connections that operate over multiple paths. We propose an end-to-end transport layer protocol called pTCP...

Abstract Mobile network data has been proven to provide a rich source of information in multiple statistical domains such as demography, tourism, urban planning, etc. However, the incorporation this routinely production official statistics is taking many efforts since diversity highly entangled issues (access, methodology, IT tools, quality, skills) must be solved beforehand. To do this, one-of...

End-to-end deep learning approach has greatly enhanced the performance of speech recognition systems. With techniques, overfitting stills main problem with a little data. Data augmentation is suitable solution for problem, which adopted to improve quantity training data and enhance robustness models. In this paper, we investigate method enhancing Arabic automatic (ASR) based on end-to-end learn...

Machine learning algorithms are gaining ground in high energy physics for applications particle and event identification, analysis, detector reconstruction, simulation trigger. Currently, most data-analysis tasks at LHC experiments benefit from the use of machine learning. Incorporating these computational tools experimental framework presents new challenges. This paper reports on implementatio...

Big science data necessitates the requirement to incorporate state-of-the-art technologies and processes into science workflows. When transferring “big data”, the network infrastructure connects sites for storage, analysis and data transfer. A component that is often overlooked within the network is a robust measurement and testing infrastructure that verifies all network components are functio...

A group of bachelor students in information science at the University of Groningen applied off-the-shelf tools to the detection of events on Twitter, focusing on Dutch. Systems were built in four socially relevant areas: sports, emergencies, local life, and news. We show that (i) real time event detection is a feasible and suitable way for students to learn and employ data mining and analysis t...