Stream Processing Applications analyze large volumes of streaming data in real-time. These applications, consist of data sources, which produce raw streams, and processing elements, which operate on the streams to produce new derived streams. In this paper, we describe an OWL-based model for describing these stream processing components. The streams produced by data sources are described as RDF...

For social scientists who are interested in understanding smartphone-usage patterns, as well the causes and effects of smartphone use, it is crucial to get accurate estimates app usage. this reason, we present a novel data donation approach based on screen video recordings information provided by iOS Battery Section. In paper, describe Python script that can be used process automatically. Moreo...

Topic segmentation can be used as a preprocessing step in numerous natural language processing applications. In this short paper, we will discuss how we adapted our segmentation algorithm for automatic summarization.

A study was conducted to explore the potential of Natural Language Processing (NLP)based knowledge discovery approaches for the task of representing and exploiting the vital information contained in field service (trouble) tickets for a large utility provider. Analysis of a subset of tickets, guided by sublanguage theory, identified linguistic patterns, which were translated into rule-based alg...

Introduction: Automatic arterial input function (AIF) selection has an essential role in quantification of cerebral perfusion parameters. The purpose of this study is to develop an optimal automatic method for AIF determination in dynamic susceptibility contrast magnetic resonance imaging (DSC-MRI) of glioma brain tumors by using a new preprocessing method.Material and Methods: For this study, ...

Background: Based on the studies which have investigated conscious and unconscious processes, simple arithmetic operations such as addition and multiplication can be automatically processed in the brain and affect subsequent responses. However, most studies have focused on addition and multiplication of one-digit numbers. In this research we used subliminal priming paradigm to assess automatic ...