This paper presents an empirical evaluation of a digital music instrument (DMI) for electroacoustic vocal performance, the Tibetan Singing Prayer Wheel (TSPW). Specifically, we study audience preference for the way it maps horizontal spinning gestures to vocal processing parameters. We filmed six songs with the singer using the TSPW, and created two alternative soundtracks for each song: one de...

Automatic hand gesture recognition plays a fundamental role in current research with the aim of empowering a natural communication between users and virtual reality systems. Starting from an existing work, based on the extraction of two different descriptors from the depth maps followed by their classification with a stand-alone multi SVM classifier, in this paper we improve the gesture recogni...

The present study was designed to investigate the impact of applying fill-in-the-map and construct-a-map techniques on EFL learners’ knowledge of tenses. To this end, sixty EFL elementary female students, who were selected based on their performance on a standardized teacher-made proficiency test, were randomly assigned into two equal experimental and control groups. In order to be convinced of...

This study was an attempt to investigate the comparative impact of concept map and mind map instruc- tion on EFL learners’ descriptive and narrative writing. To fulfill this purpose, 60 intermediate EFL learners were selected from among a total number of 100 through their performance on a pretest, i.e., a piloted sample Cambridge Preliminary English Test (PET). T...

This work proposes a robust visual odometry method for structured environments that combines point features with line and plane segments, extracted through an RGB-D camera. Noisy depth maps are processed by a probabilistic depth fusion framework based on Mixtures of Gaussians to denoise and derive the depth uncertainty, which is then propagated throughout the visual odometry pipeline. Probabili...

Information Technology Infrastructure Library (ITIL) is series of best practices that helps Information technology Organizations to provide Information technology (IT) services for their customers with better performances and quality. This a rticle is looking for a way to implement ITIL in an organization and also using Fuzzy Cognitive Maps (FCM) to model the problem for better understanding of...

This paper aims to present a novel method of extracting bilingual lexica from comparable corpora using one of the artificial neural network algorithms, self-organizing maps (SOMs). The proposed method is very useful when a seed dictionary for translating source words into target words is insufficient. Our experiments have shown stunning results when contrasted with one of the other approaches. ...

Recently it has been recognized that robust motion planners should take into account the varying performance of localization sensors across the configuration space. Although a number of works have shown the benefits of using such a performance map, the work on actual computation of such a performance map has been limited and has addressed mostly range sensors. Since vision is an important senso...

Collaborative clustering is a recent field of Machine Learning that shows similarities with both ensemble learning and transfer learning. Using a two-step approach where different clustering algorithms first process data individually and then exchange their information and results with a goal of mutual improvement, collaborative clustering has shown promising performances when trying to have se...

This thesis introduces a programmable method to design 2D arrangements for element textures: Textures made of small geometric elements. These textures are ubiquitous in numerous applications of computer-aided illustration. Our approach targets technical artists who will design an arrangement by writing a script. Such scripts are based on three types of operators dedicated to the fast creation o...