Search results for "Intelligence"
showing 10 items of 6959 documents
Compression Methods for Microclimate Data Based on Linear Approximation of Sensor Data
2019
Edge computing is currently one of the main research topics in the field of Internet of Things. Edge computing requires lightweight and computationally simple algorithms for sensor data analytics. Sensing edge devices are often battery powered and have a wireless connection. In designing edge devices the energy efficiency needs to be taken into account. Pre-processing the data locally in the edge device reduces the amount of data and thus decreases the energy consumption of wireless data transmission. Sensor data compression algorithms presented in this paper are mainly based on data linearity. Microclimate data is near linear in short time window and thus simple linear approximation based …
Evaluación del diseño del programa AedEM de Educación Emocional para Educación Secundaria
2016
The systematic interventions in the field of emotional education are a resource increasingly used to facilitate among adolescents acquisition of emotional skills. The review in this work of such interventions shows that most of them take the form of expert programs without integrating their activities within the school curriculum. This paper focuses on the evaluation design of the Programme of Emotional Education (hereinafter AEdEm), which is a compulsory subject in the 1st and 2nd academic years of E.S.O (Compulsory Secondary Education) at a secondary school in the province of Cádiz. This program developed by Sánchez Román y Sánchez Calleja (2015) aims to develop emotional competences foll…
Emotional education in young people with intellectual disabilities: Assessment of an intervention in university context
2020
El objetivo del presente estudio fue analizar el impacto de una intervención en educación emocional en un grupo de jóvenes con discapacidad intelectual. Los participantes fueron 16 jóvenes (7 mujeres) con discapacidad intelectual ligera o moderada de edades comprendidas entre los 18 y 28 años (M =24; DT = 3,04) integrantes del programa de formación para el empleo UNINCLUV de laUniversitat de València. Se administraron el cuestionario de Inteligencia Emocional de Bar-On: versión para jóvenes (EQ-i:YV; Bar-On y Parker, 2000) y la Escala de Comportamiento Asertivo (CABS; Woods et al., 1978). El diseño del estudio fue longitudinal con pretest, intervención y postest, sin grupo control. No se ob…
Integrating Computational Linguistic Analysis of Multilingual Learning Data and Educational Measurement Approaches to Explore Learning in Higher Educ…
2017
This chapter develops a computational linguistic model for analyzing and comparing multilingual data as well as its application to a large body of standardized assessment data from higher education. The approach employs both an automatic and a manual annotation of the data on several linguistic layers (including parts of speech, text structure and content). Quantitative features of the textual data are explored that are related to both the students’ (domain-specific knowledge) test results and their level of academic experience. The respective analysis involves statistics of distance correlation, text categorization with respect to text types (questions and response options) as well as lang…
Towards Understanding Startup Product Development as Effectual Entrepreneurial Behaviors
2017
With the rapid development of technology and competitiveness of IT sectors, the speed of learning and evolving is vital for success of software startups. However, software startups often face with multiple technical and business challenges, which lengthen the duration of their idea-to-launch process. Little is known about the relation of entrepreneurial characteristics of software startups and their product development. We conducted an empirical study on twenty software startups to understand their challenges that leads long idea-to-launch processes. Six engineering-related challenges were identified and interpreted via a lens of an entrepreneurial behavior theory. Our main finding is that …
Maximización de la eficiencia y búsqueda de la celeridad en el arbitraje: entre el mito, la sublimación y la cuarta revolución industrial (4.0)
2018
En: Arbitraje: revista de arbitraje comercial y de inversiones. eISSN. 2603-9281. vol. 11, n. 1, 2018, pp 17-53 La globalización ha supuesto una transformación en el ámbito económico, generando un cambio de calidad y de cantidad en el tráfico económico, pero también en la posible conflictividad que puede provocarse. Esta situación ha incidido en el crecimiento de arbitrajes, apareciendo e impulsándose arbitrajes sectoriales, con protagonistas nuevos, con participación incluso del Estado en algunos arbitrajes. Todo ello ha favorecido cambios en las legislaciones nacionales arbitrales, en los reglamentos de las instituciones arbitrales, y en el modus operandi de operadores sociales, económico…
Predicting the working alliance over the course of long-term psychodynamic psychotherapy with the Rorschach Ego Impairment Index, self-reported defen…
2021
Better therapeutic alliances are known to predict better treatment outcomes, but little knowledge still exists on the patient characteristics that lead to better alliances. In a sample of 128 outpatients assigned to long-term psychodynamic psychotherapy and suffering from mood and/or anxiety disorder, this study evaluated how the alliance, measured using the Working Alliance Inventory (WAI), is predicted by three different measures for assessing psychological resources and vulnerabilities: the Wechsler Adult Intelligence Scale—Revised (WAIS–R), the Defense Style Questionnaire (DSQ), and the Rorschach-based Ego Impairment Index (EII-2). All the three measures showed some ability to predict t…
Eigenexpressions: Emotion Recognition Using Multiple Eigenspaces
2013
This paper presents an appearance-based holistic method for expression recognition. A two stage supervised learning approach is used. At the first stage, training images are used to compute one subspace per expression. At the second stage, the same images are used to train a classifier. In this step, Euclidean distances from each image to each particular subspace are used as the input to the classifier. The resulting system significantly outperforms the baseline eigenfaces method on the Cohn-Kanade data set, with performance gains in the range 10%-20%.
Regularized extreme learning machine for regression problems
2011
Extreme learning machine (ELM) is a new learning algorithm for single-hidden layer feedforward networks (SLFNs) proposed by Huang et al. [1]. Its main advantage is the lower computational cost, which is especially relevant when dealing with many patterns defined in a high-dimensional space. This paper proposes an algorithm for pruning ELM networks by using regularized regression methods, thus obtaining a suitable number of the hidden nodes in the network architecture. Beginning from an initial large number of hidden nodes, irrelevant nodes are then pruned using ridge regression, elastic net and lasso methods; hence, the architectural design of ELM network can be automated. Empirical studies…
An entropy-based machine learning algorithm for combining macroeconomic forecasts
2019
This paper applies a Machine Learning approach with the aim of providing a single aggregated prediction from a set of individual predictions. Departing from the well-known maximum-entropy inference methodology, a new factor capturing the distance between the true and the estimated aggregated predictions presents a new problem. Algorithms such as ridge, lasso or elastic net help in finding a new methodology to tackle this issue. We carry out a simulation study to evaluate the performance of such a procedure and apply it in order to forecast and measure predictive ability using a dataset of predictions on Spanish gross domestic product.