Search results for "intelligence"
showing 10 items of 6959 documents
Eye Movement Analyses for Obtaining Readability Formula for Latvian Texts for Primary School
2017
To determine the difficulty of text, readability formulas can be used. The research was made to find readability formula for Latvian. Readability formulas for English were used as guidelines. The novelty was the use of eye movement tracking during reading to obtain quantitative data that lead to readability formula. Eye fixation durations were gathered during readability measurements. Average values of fixation durations were calculated to characterize texts and readers. 15 texts with various difficulty levels were composed for exposing them to readers. More than 300 children of grades 1 - 4 were participating in measurements. Average values of eye fixation durations of readers from a certa…
Las voces del interior rural valenciano: recursos naturales y resistencias al desarrollo
2020
[EN] This paper shows the results of two territorial diagnoses for employment and local development carried out in two rural regions of the province of Valencia. These diagnostics showed that these territories have abundant natural resources, but that lack of competent actors to dynamize them properly; either because they lack the means to do so (access to sources of financing, transport or basic infrastructure), or because they are not trained for it (aging population with lack of training), or because they do not have enough initiative (installed in a comfort zone).
Retrieving Monitoring and Accounting Information from Constrained Devices in Internet-of-Things Applications
2013
Part 6: Monitoring Mechanisms; International audience; Internet-of-Things (IoT) is envisioned to provide connectivity to a vast number of sensing or actuating devices with limited computational and communication capabilities. For the organizations that manage these constrained devices, the monitoring of each device’s operational status and performance level as well as the accounting of their resource usage are of great importance. However, monitoring and accounting support is lacking in today’s IoT platforms. Hence, this paper studies the applicability of the Constrained Application Protocol (CoAP), a lightweight transfer protocol under development by IETF, for efficiently retrieving monito…
Inteligencia emocional y género: más allá de las diferencias sexuales
2012
La mayoría de los estudios sobre género e Inteligencia Emocional (IE) se han centrado en analizar diferencias en función del sexo y han mostrado resultados contradictorios. Con objeto de formular nuevas propuestas de análisis en este ámbito de estudio, el presente trabajo examina el efecto de la identidad de género sobre la IE en una muestra de 338 trabajadores/as. Para la medida de la IE se utilizaron tanto medidas de auto-percepción (TMMS) como de habilidad (MSCEIT). Los resultados indican que la aceptación de rasgos de expresividad por parte de las mujeres podría explicar sus mayores puntuaciones en IE. Además, los resultados muestran que las personas andróginas, en comparación con las i…
Introduction to Gestural Similarity in Music. An Application of Category Theory to the Orchestra
2019
Mathematics, and more generally computational sciences, intervene in several aspects of music. Mathematics describes the acoustics of the sounds giving formal tools to physics, and the matter of music itself in terms of compositional structures and strategies. Mathematics can also be applied to the entire making of music, from the score to the performance, connecting compositional structures to acoustical reality of sounds. Moreover, the precise concept of gesture has a decisive role in understanding musical performance. In this paper, we apply some concepts of category theory to compare gestures of orchestral musicians, and to investigate the relationship between orchestra and conductor, a…
2020
AbstractForecasting crop yields is becoming increasingly important under the current context in which food security needs to be ensured despite the challenges brought by climate change, an expanding world population accompanied by rising incomes, increasing soil erosion, and decreasing water resources. Temperature, radiation, water availability and other environmental conditions influence crop growth, development, and final grain yield in a complex nonlinear manner. Machine learning (ML) techniques, and deep learning (DL) methods in particular, can account for such nonlinear relations between yield and its covariates. However, they typically lack transparency and interpretability, since the…
Real-time Multispectral Image Processing and Registration on 3D Point Cloud for Vineyard Analysis
2021
International audience; Nowadays, precision agriculture and precision viticulture are under strong development. In order to accomplish effective actions, robots require robust perception of the culture and the surrounding environment. Computer vision systems have to identify plant parts (branches, stems, leaves, flowers, fruits, vegetables, etc.) and their respective health status. Moreover, they must merge various plant information, to measure agronomic indices, to classify them and finally to extract data to enable the agriculturist or expert to make a relevant decision. We propose a real-time method to acquire, process and register multispectral images fused to 3D. The sensors system, co…
Towards events ontology based on data sensors network for viticulture domain
2018
International audience; Wine Cloud project is the first "Big Data" platform on the french viticulture value chain. The aim of this platform is to provide a complete traceability of the life cycle of the wine, from the wine-grower to the consumer. In particular, Wine Cloud may qualify as an agricultural decision platform that will be used for vine life cycle management in order to predict the occurrence of major risks (vine diseases, grape vine pests, physiological risks, fermentation stoppage, oxidation of vine, etc...). Also to make wine production more rational by offering winegrower a set of recommendation regarding their strategy's of production development. The proposed platform "Wine …
Big data analytics in healthcare: a systematic literature review
2020
The current study performs a systematic literature review (SLR) to synthesise prior research on the applicability of big data analytics (BDA) in healthcare. The SLR examines the outcomes of 41 stu...
Artificial Intelligence and Precision Medicine: A Perspective
2021
This article aims to present how the advanced solutions of artificial intelligence and precision medicine work together to refine medical management. Multi-omics seems the most suitable approach for biological analysis of data on precision medicine and artificial intelligence. We searched PubMed and Google Scholar databases to collect pertinent articles appearing up to 5 March 2021. Genetics, oncology, radiology, and the recent coronavirus disease (COVID-19) pandemic were chosen as representative fields addressing the cross-compliance of artificial intelligence (AI) and precision medicine based on the highest number of articles, topicality, and interconnectedness of the issue. Overall, we i…