Search results for " networking"
showing 10 items of 1264 documents
Carbon monoxide detection
2019
Carbon monoxide (CO) is a particularly toxic gas, and the CO poisoning is the leading cause of fatal poisoning in the world. One solution to deal with this dangerous gas is to exploit the advantages given to us by the applications and the technology advances in internet of things (IoT). In this context, we propose to integrate carbon monoxide detection objects to the internet, as part of civil protection intervention applications in case of detection of carbon monoxide to avoid poisoning. To do this, we propose a typical IoT architecture to manage the alerts sent to civil protection in the event of detection of carbon monoxide (CO). The architecture is based on the Message Queue Telemetry T…
Particle Swarm Optimization as a New Measure of Machine Translation Efficiency
2018
The present work proposes a new approach to measuring efficiency of evolutionary algorithm-based Machine Translation. We implement some attributes of evolutionary algorithms performing cosine similarity objective function of a Particle Swarm Optimization (PSO) algorithm then, we evaluate an English text set for translation precision into the Spanish text as a simulated benchmark, and explore the backward process. Our results show that PSO algorithm can be used for translation of multiple language sentences with one identifier only, in other words the technology presented is language-pair independent. Specifically, we indicate that our cosine similarity objective function improves the veloci…
Source-Target Mapping Model of Streaming Data Flow for Machine Translation
2017
Streaming information flow allows identification of linguistic similarities between language pairs in real time as it relies on pattern recognition of grammar rules, semantics and pronunciation especially when analyzing so called international terms, syntax of the language family as well as tenses transitivity between the languages. Overall, it provides a backbone translation knowledge for building automatic translation system that facilitates processing any of various abstract entities which combine to specify underlying phonological, morphological, semantic and syntactic properties of linguistic forms and that act as the targets of linguistic rules and operations in a source language foll…
Translingual text mining for identification of language pair phenomena
2016
Translingual Text Mining (TTM) is an innovative technology of natural language processing for building multilingual parallel corpora, processing machine translation, contextual knowledge acquisition, information extraction, query profiling, language modeling, contextual word sensing, creating feature test sets and for variety of other purposes. The Keynote Lecture will discuss opportunities and challenges of this computational technology. In particular, the focus will be made on identification of language pair phenomena and their applications to building holistic language model which is a novel tool for processing machine translation, supporting professional translations, evaluation of tran…
Monolingual and cross-lingual intent detection without training data in target languages
2021
Due to recent DNN advancements, many NLP problems can be effectively solved using transformer-based models and supervised data. Unfortunately, such data is not available in some languages. This research is based on assumptions that (1) training data can be obtained by the machine translating it from another language
The fundamental theory of optimal "Anti-Bayesian" parametric pattern classification using order statistics criteria
2013
Author's version of an article in the journal: Pattern Recognition. Also available from the publisher at: http://dx.doi.org/10.1016/j.patcog.2012.07.004 The gold standard for a classifier is the condition of optimality attained by the Bayesian classifier. Within a Bayesian paradigm, if we are allowed to compare the testing sample with only a single point in the feature space from each class, the optimal Bayesian strategy would be to achieve this based on the (Mahalanobis) distance from the corresponding means. The reader should observe that, in this context, the mean, in one sense, is the most central point in the respective distribution. In this paper, we shall show that we can obtain opti…
Psychological Risk Factors that Predict Social Networking and Internet Addiction in Adolescents
2020
Adolescents&rsquo
Insights Into Aspects Behind Internet-Related Disorders in Adolescents: The Interplay of Personality and Symptoms of Adjustment Disorders
2017
Abstract Purpose Problematic Internet use (PIU) that has recently been referred to as Internet-related disorder is a growing health concern. Yet, it is unclear why some adolescents are developing problematic use, whereas others sustain control. Based on previous research, we hypothesize that personality traits (low conscientiousness and high neuroticism) act as predispositions for PIU. We further hypothesize that PIU can be understood as a maladaptive reaction toward critical life events and that these maladaptive reactions are exacerbated by dysfunctional personality traits. Methods The study investigates the prevalence of distinct subtypes of PIU among a sample of adolescents (n = 1,489; …
A Multicomponent Exercise Intervention that Reverses Frailty and Improves Cognition, Emotion, and Social Networking in the Community-Dwelling Frail E…
2016
Abstract Background Frailty can be an important clinical target to reduce rates of disability. Objective To ascertain if a supervised-facility multicomponent exercise program (MEP) when performed by frail older persons can reverse frailty and improve functionality; cognitive, emotional, and social networking; as well as biological biomarkers of frailty, when compared with a controlled population that received no training. Design This is an interventional, controlled, simple randomized study. Researchers responsible for data gathering were blinded for this study. Setting Participants from 2 primary rural care centers (Sollana and Carcaixent) of the same health department in Spain were enroll…
Parent and peer attachment as predictors of facebook addiction symptoms in different developmental stages (early adolescents and adolescents)
2019
Abstract Facebook Addiction (FA) is a problem that concerns minors all over the world. The attachment bond with peers and parents has been proven to be a risk factor for the onset of FA. However, the family and peer group can have a different importance depending on the developmental period of the minor. This study examined the influence of peer and parental attachment on the symptoms of FA in early adolescents and adolescents to verify whether attachment to peers and parents predicts FA symptoms in both categories respectively. The sample was composed of 598 participants (142 early adolescents) between the ages of 11 and 17 years (M age = 14.82, SD = 1.52) recruited in the school setting. …