Search results for " networking"
showing 10 items of 1264 documents
From a bodily-based format of knowledge to symbols. The evolution of human language
2013
Although ontogeny cannot recapitulate phylogeny, a two-level model of the acquisition of language will be here proposed and its implication for the evolution of the faculty of language will be discussed. It is here proposed that the identification of the cognitive requirements of language during ontogeny could help us in the task of identifying the phylogenetic achievements that concurred, at some point, to the acquisition of language during phylogeny. In this model speaking will be considered as a complex ability that arises in two different steps. The first step of competence widely relies on a bodily-based format of knowledge. The second step relies on more abstract meta-representations …
Embedded controlled language to facilitate information extraction from eGov policies
2015
The goal of this paper is to propose a system that can extract formal semantic knowledge representation from natural language eGov policies. We present an architecture that allows for extracting Controlled Natural Language (CNL) statements from heterogeneous natural language texts with the ability to support multilinguality. The approach is based on the concept of embedded CNLs.
“Come join us, and lose your accent!” : Accent Modification Courses as Hierarchization of International Student
2021
In this article, we examine the hierarchization of international students by bringing together perspectives of linguistic legitimacy and language ideologies. Our data stems from 26 accent reduction (AR) or accent modification (AM) course descriptions and websites from US universities. Based on their analysis, we discuss the socio-political implications of the phenomenon of these courses for international students and the ways in which language-based, particularly accent-based, arguments are used to create or reinforce different categories of students. We argue that while international students are presented as having different kinds of “comprehensibility problems” that AM/AR courses are cla…
Exploring the Relationship Between Business Elite Networks and Income Inequality in Latin American Countries
2018
Although the cohesion of business elites has been associated with income concentration, few studies have in-depth investigated the role of business elite networks in macro-social issues such as economic inequality. This research explores the relationship between business elite networks and income inequality in several Latin American countries. To do so, this paper 1) examine business elite networks applying a network analysis of interlocking directorates, and 2) establishes the link and complementarities between the level of cohesion of business elite networks and income inequality. Results show that where business elite formed cohesive networks and economy was export-oriented, social prote…
Dynamic Ordering of Firewall Rules Using a Novel Swapping Window-based Paradigm
2016
Designing and implementing efficient firewall strategies in the age of the Internet of Things (IoT) is far from trivial. This is because, as time proceeds, an increasing number of devices will be connected, accessed and controlled on the Internet. Additionally, an ever-increasingly amount of sensitive information will be stored on various networks. A good and effi- cient firewall strategy will attempt to secure this information, and to also manage the large amount of inevitable network traffic that these devices create. The goal of this paper is to propose a framework for designing optimized firewalls for the IoT. This paper deals with two fundamental challenges/problems encountered in such…
Stochastic discretized learning-based weak estimation: a novel estimation method for non-stationary environments
2016
The task of designing estimators that are able to track time-varying distributions has found promising applications in many real-life problems.Existing approaches resort to sliding windows that track changes by discarding old observations. In this paper, we report a novel estimator referred to as the Stochastic Discretized Weak Estimator (SDWE), that is based on the principles of discretized Learning Automata (LA). In brief, the estimator is able to estimate the parameters of a time varying binomial distribution using finite memory. The estimator tracks changes in the distribution by operating a controlled random walk in a discretized probability space. The steps of the estimator are discre…
Distributed learning automata for solving a classification task
2016
In this paper, we propose a novel classifier in two-dimensional feature spaces based on the theory of Learning Automata (LA). The essence of our scheme is to search for a separator in the feature space by imposing a LA based random walk in a grid system. To each node in the gird we attach an LA, whose actions are the choice of the edges forming the separator. The walk is self-enclosing, i.e, a new random walk is started whenever the walker returns to starting node forming a closed classification path yielding a many edged polygon. In our approach, the different LA attached at the different nodes search for a polygon that best encircles and separates each class. Based on the obtained polygon…
A Survey on Sensors for Autonomous Systems
2020
This paper presents a survey on state-of-the-art sensors for autonomous systems. The key performance parameters along with the operating principle of sensors used in autonomous systems are thoroughly explored. Practical aspects such as performance parameters, sensor output data format, sensor interfaces, size, power consumption, compatible hardware platforms, data analysis, and signal processing complexities are summarized. Such information serves as a practical guide for designing smart sensing systems for autonomous systems.
Development of a low-cost IoT system to detect and locate lightning strikes
2020
Lightnings are violent natural phenomena and can generate many expenditures, specially when they strike in urban areas. The identification of the concrete geographic area where they strike is of critical importance for emergency services in order to enhance their effectiveness by doing an intensive coverage of the affected area. To achieve this aim, this paper proposes a design, prototype and validation of a distributed network of Internet of Things (IoT) devices to enable detection and location of lightning strikes. The IoT devices are empowered with lightning detection capabilities and are synchronized with the other devices in the sensor network. All of them cooperate within a network th…
Content and language integrated learning
2014
This special issue of The Language Learning Journal is devoted to Content and Language Integrated Learning, frequently referred to by its acronym CLIL in Europe, but also elsewhere of late. CLIL is...