Search results for "GUI"
showing 10 items of 12462 documents
Anxiety and Enjoyment in the Foreign Language Classroom
2019
Abstract To balance the research that has been carried out on negative emotions, the researchers in the field of second language acquisition (SLA) have recently focused on the role of positive academic emotions and their role in the process of acquiring a foreign language (FL). The aim of the present article is to examine the relationships between foreign language enjoyment (FLE), foreign language classroom anxiety (FLCA) and students’ academic achievement in English in order to prove that these two emotions do not constitute opposite dimensions but may converge and diverge from time to time during the learning process. This article calls for a more dynamic approach to studying emotions and…
Selves, interactive representations and context
2021
Abstract In this paper, I re-examine the notion of ‘clause-as-representation’ in Michael Halliday’s systemic functional theory of language. I argue that ‘representation’ is a mode of linguistic action that cannot be understood in terms of the experiential metafunction alone. Instead, a theoretical account of representation must be undertaken in relation to all the metafunctions. Rejecting encodingist accounts of representation, I develop the argument that representations are interactively constituted and emergent in languaging activity. The paper develops these arguments in relation to a process ontological account of the relations between language and the world-side phenomena that language…
Online Personal Narratives
2021
The aim of this chapter is to explore personal narratives and conversational stories of self-declared victims of abuse in the comments section of a knowledge-sharing platform, such as YouTube. The aim is to analyze the resemblance between the interaction and exchange of narratives in comments sections, on the one hand, and narrative group psychotherapy and self-help support groups, on the other. While previous research on storytelling mostly addresses professionally guided or produced narratives, this approach extends the production of these narratives to online communicative contexts. Firstly, the chapter looks at the theoretical tenets of storytelling. Secondly, a sociolinguistic, narrato…
Cell state prediction through distributed estimation of transmit power
2019
Determining the state of each cell, for instance, cell outages, in a densely deployed cellular network is a difficult problem. Several prior studies have used minimization of drive test (MDT) reports to detect cell outages. In this paper, we propose a two step process. First, using the MDT reports, we estimate the serving base station’s transmit power for each user. Second, we learn summary statistics of estimated transmit power for various networks states and use these to classify the network state on test data. Our approach is able to achieve an accuracy of 96% on an NS-3 simulation dataset. Decision tree, random forest and SVM classifiers were able to achieve a classification accuracy of…
Optimizing Query Perturbations to Enhance Shape Retrieval
2020
3D Shape retrieval algorithms use shape descriptors to identify shapes in a database that are the most similar to a given key shape, called the query. Many shape descriptors are known but none is perfect. Therefore, the common approach in building 3D Shape retrieval tools is to combine several descriptors with some fusion rule. This article proposes an orthogonal approach. The query is improved with a Genetic Algorithm. The latter makes evolve a population of perturbed copies of the query, called clones. The best clone is the closest to its closest shapes in the database, for a given shape descriptor. Experimental results show that improving the query also improves the precision and complet…
Dynamic Functional Connectivity Captures Individuals’ Unique Brain Signatures
2020
Recent neuroimaging evidence suggest that there exists a unique individual-specific functional connectivity (FC) pattern consistent across tasks. The objective of our study is to utilize FC patterns to identify an individual using a supervised machine learning approach. To this end, we use two previously published data sets that comprises resting-state and task-based fMRI responses. We use static FC measures as input to a linear classifier to evaluate its performance. We additionally extend this analysis to capture dynamic FC using two approaches: the common sliding window approach and the more recent phase synchrony-based measure. We found that the classification models using dynamic FC pa…
Generating Executable Code from High-Level Social or Socio-Ecological Model Descriptions
2019
Agent-Based Modelling has been used for social simulation because of the several benefits it entails. Social models are often constructed by inter-disciplinary teams that include subject-matter experts with no programming skills. These experts are typically involved in the creation of the conceptual model, but not the verification or validation of the simulation model. The Overview, Design concepts, and Details (ODD) protocol has emerged as a way of presenting a model at a high level of abstraction and as an effort towards improving the reproducibility of Agent-Based Models (ABMs) but it is typically written after a model has been completed. This paper reverses the process and provides non-…
Exploring Design Cognition in Voice-Driven Sound Sketching and Synthesis
2021
Conceptual design and communication of sonic ideas are critical, and still unresolved aspects of current sound design practices, especially when teamwork is involved. Design cognition studies in the visual domain represent a valuable resource to look at, to better comprehend the reasoning of designers when they approach a sound-based project. A design exercise involving a team of professional sound designers is analyzed, and discussed in the framework of the Function-Behavior-Structure ontology of design. The use of embodied sound representations of concepts fosters team-building and a more effective communication, in terms of shared mental models.
Attention-based Model for Evaluating the Complexity of Sentences in English Language
2020
The automation of text complexity evaluation (ATCE) is an emerging problem which has been tackled by means of different methodologies. We present an effective deep learning- based solution which leverages both Recurrent Neural and the Attention mechanism. The developed system is capable of classifying sentences written in the English language by analysing their syntactical and lexical complexity. An accurate test phase has been carried out, and the system has been compared with a baseline tool based on the Support Vector Machine. This paper represents an extension of a previous deep learning model, which allows showing the suitability of Neural Networks to evaluate sentence complexity in tw…
A Hybrid Architecture for Tiered Storage with Fuzzy Logic and AutoML
2020
The explosion of storage needs pauses a multifaceted challenge for organizations, not only it exerts a large pressure on precious resources, but also creates a sub-optimal data environment where the noise level may overwhelm the actual signal. However, despite the economies of scale achieved by major cloud platforms, the fundamental issue of storage optimization did not go away.