Search results for "Artificial Intelligence"
showing 10 items of 6122 documents
Convivencia en el ámbito educativo: aplicación de un programa basado en la empatía, la educación emocional y la resolución de conflictos en un instit…
2019
La educacion emocional y la resolucion de conflictos son factores clave en la mejora del clima del aula. Asi lo demuestra nuestra experiencia contextualizada en un centro de secundaria de la ciudad de Valencia (Espana) con un alto indice de expedientes sancionadores. La puesta en practica, en dicho centro, de un programa de intervencion y formacion para entrenar las tecnicas relacionadas con la educacion emocional y la resolucion pacifica de los conflictos ha supuesto una reduccion significativa tanto en el numero de expedientes como en la manera de afrontarlos traduciendose en una mejora de la convivencia en el centro mediante un aumento de la Cultura de Mediacion.
A Dynamic Software Startup Competency Model
2019
Current literature suggests that engineering activities of software engineering and software startup engineering differ. Thus, there is the need to elicit competencies specific for software startup engineering. This paper proposes a model that provides the various types of competencies and their respective relevance at the various stages of software startup evolution. peerReviewed
SLFTD: A Subjective Logic Based Framework for Truth Discovery
2019
Finding truth from various conflicting candidate values provided by different data sources is called truth discovery, which is of vital importance in data integration. Several algorithms have been proposed in this area, which usually have similar procedure: iteratively inferring the truth and provider’s reliability on providing truth until converge. Therefore, an accurate provider’s reliability evaluation is essential. However, no work pays attention to “how reliable this provider continuously providing truth”. Therefore, we introduce subjective logic, which can record both (1) the provider’s reliability of generating truth, and (2) reliability of provider continuously doing so. Our propose…
Containers in Software Development: A Systematic Mapping Study
2019
Over the past decade, continuous software development has become a common place in the field of software engineering. Containers like Docker are a lightweight solution that developers can use to deploy and manage applications. Containers are used to build both component-based architectures and microservice architectures. Still, practitioners often view containers only as way to lower resource requirements compared to virtual machines. In this paper, we conducted a systematic mapping study to find information on what is known of how containers are used in software development. 56 primary studies were selected into this paper and they were categorized and mapped to identify the gaps in the cu…
What represents a face? A computational approach for the integration of physiological and psychological data.
1997
Empirical studies of face recognition suggest that faces might be stored in memory by means of a few canonical representations. The nature of these canonical representations is, however, unclear. Although psychological data show a three-quarter-view advantage, physiological studies suggest profile and frontal views are stored in memory. A computational approach to reconcile these findings is proposed. The pattern of results obtained when different views, or combinations of views, are used as the internal representation of a two-stage identification network consisting of an autoassociative memory followed by a radial-basis-function network are compared. Results show that (i) a frontal and a…
Micro and Macro Resilience Measures of an Economic Crisis
2020
Using Italian Households Budget Survey data over the period 1997-2013, a Cragg model in a life-cycle context is specified to compare the consumption behaviour in the pre- and post-crisis time and develop different micro and macro measures of resilience against crisis shocks. Cohort profiles for participation in and for consumption of tourism services in the pre- and post-crisis time are determined so as to explore the households’ resilience by generations. Next, the households’ resilience according to socio-demographic characteristics is addressed. As for the macro-resilience, combining individual expenditure elasticity, we examine whether and how Italian regions have responded to the recen…
From bus to tramway: Is there an economic impact of substituting a rapid mass transit system? An empirical investigation accounting for anticipation …
2018
Abstract Hedonic pricing models and price equations have been extensively used to retrieve the implicit prices of urban externalities through real estate markets. Many applications have been devoted to investigating the impact of new mass transit systems, such as rail infrastructures. However, the implementation of such infrastructures usually takes some time and markets can react with an anticipation effect that can vary according to the different development phases. Moreover, the impact may be different if it acts as a substitute to existing rapid transit services. This paper focuses on the impact of substituting bus rapid transit (BRT) for light rail transit (LRT) services, taking into a…
Traffic Flow Variables Estimation: An Automated Procedure Based on Moving Observer Method. Potential Application for Autonomous Vehicles
2019
Abstract The estimation of traffic flow variables (flow, space mean speed and density) plays a fundamental role in highways planning and designing, as well as in traffic control strategies. Moving Observer Method (MOM) allows traffic surveys in a road, or in a road network. This paper proposes a novel automated procedure, called MOM-AP based on Moving Observer Method and Digital Image Processing (DIP) Technique able to automatically detect (without human observers) and calculate flow q, space mean speed vs and density k in case of stationary and homogeneous traffic conditions. In order to evaluate how reliable is the MOM-AP, an experiment has been carried out in a segment of one two-lane si…
Developing a framework for using structure-from-motion techniques for road distress applications
2020
On Urban road networks, road agencies need to quickly identify road pavement distresses in order to identify appropriate maintenance and rehabilitation strategies. This is integral as agencies are plagued with financial and time constraint issues. There have been several attempts over the last few years to identify new solutions and techniques to solve these issues. Several of these have shown merit and accuracy in identifying distresses. However, the techniques in many instances are not correlated to available distress identification standards. One of the considered techniques is the use of Structure-from-Motion, which tries to recreate 3D distress models for identification and analysis. T…
Novel Distance Estimation Methods Using 'Stochastic Learning on the Line' Strategies
2018
In this paper, we consider the problem of Distance Estimation (DE) when the inputs are the $x$ and $y$ coordinates (or equivalently, the latitudinal and longitudinal positions) of the points under consideration. The aim of the problem is to yield an accurate value for the real (road) distance between the points specified by the latter coordinates. 1 This problem has, typically, been tackled by utilizing parametric functions called the “Distance Estimation Functions” (DEFs). The parameters are learned from the training data (i.e., the true road distances) between a subset of the points under consideration. We propose to use Learning Automata (LA)-based strategies to solve the problem. In par…