Search results for "Project"

Using deep neural networks for kinematic analysis: Challenges and opportunities

2020

Kinematic analysis is often performed in a lab using optical cameras combined with reflective markers.\ud With the advent of artificial intelligence techniques such as deep neural networks, it is now possible\ud to perform such analyses without markers, making outdoor applications feasible. In this paper I summarise\ud 2D markerless approaches for estimating joint angles, highlighting their strengths and limitations.\ud In computer science, so-called ‘‘pose estimation” algorithms have existed for many years. These methods\ud involve training a neural network to detect features (e.g. anatomical landmarks) using a process called\ud supervised learning, which requires ‘‘training” images to be …

Tecsis: Low-Cost Methodology To Distinguish Archaeological Findings

2006

The automatic or semi-automatic research of archaeological findings includes some methodologies and algorithms of the Computer Vision. Reconstruction of a scene is one of the key step to get the solution to that challenge. This paper will address a methodology to reconstruction underwater scenes with mosaicing techniques. The reconstruction of scene will be the video-mosaic of sea bottom landscapes starting from single video frames. The methodology is based on the evaluation of the optic °ow in between frames, and its motion estimation has been evaluated on the extracted features from the common areas of consecutive pairs frames. This approach carried out the motion model from a geometric p…

Students' school performance, task-focus, and situation-specific motivation

2015

Going beyond studies of individual differences in and profiles of students' motivation, we investigated situation-specific (intra-personal) experiences of autonomous (enjoyment, interest, and task choice) and controlled (having to do, and the teacher wanting them to do a task) motivation across learning situations during one week, and how these were related to student characteristics (teacher rated academic performance and task-focus). Three-hundred and fourteen primary school students (Years 5 and 6) completed electronic questionnaires on Personal Digital Assistants, on an average of 11.2 learning episodes during a week. Multilevel Structural Equation Models provided support for a model ba…

Projektu balstītā izglītība kā pedagoģiskais risinājums mācīšanās motivācijas dažādībai sākumskolā

2016

Šis pētījums atklāj projektos balstītās izglītības kā pedagoģiskā risinājuma potenciālu mācīšanās motivācijas dažādībai sākumskolā. Tika izpētīti skolēnu motivācijas veidi dažās Madrides (Fuenlabradas) pamatskolās, kur izmanto dažādas mācīšanās un mācīšanas metodes, un salīdzināti motivācijas veidi starp skolēniem, kuru skolās izmanot tradicionālās metodes, un tiem, kuru skolās izmanto projektos balstīto izglītību. Sākotnēji tika izpētīti motivācijas un projektos balstītās izglītības teorētiskie pamati; empīriskajā daļā tika izmantotas aptaujas un fokusa grupa diskusijas ar studentiem, skolotājiem un ģimenēm. Pētījuma rezultātā tika atklāti pedagoģiski nosacījumi, lai nodrošinātu projektos …

The role of attention in preschoolers’ working memory

2015

Abstract Recent studies showed that introducing an unfilled delay or a secondary task between encoding and recall reduces recall performance in preschoolers, whereas increasing the attentional demand of this secondary task does not. Based on these results, different authors drew opposing conclusions regarding the use of attention in preschoolers’ memory maintenance. This study aimed to bring further evidence to bear on the issue. In two experiments, recall was reduced when an unfilled delay was introduced before recall, but also when the demand of the concurrent task increased. These effects did not interact with age, although performance improved from 4 to 6 years of age. A third experimen…

Effect of C/N shock variation on the performances of a moving bed membrane bioreactor.

2015

Abstract The effect of a sharp variation of C/N ratio in a moving bed membrane bioreactor (MB-MBR) pilot plant treating high strength wastewater has been investigated. The experimental campaign was divided into two periods, each characterized by a different C/N ratio (namely, 2.5 and 15, Period 1 and Period 2, respectively). The MB-MBR system was analyzed in terms of organic carbon removal, nitrification efficiency, biokinetic activity and fouling behavior. The results showed that the nitrification process was severely affected by lower C/N value and by high concentration of ammonia. It was noticed an extensive stress effect on the autotrophic bacteria. Furthermore, it was observed an incre…

ELECTRE TRI-based approach for sorting projects portfolio: Focus on the European strategy

2018

The European Framework Programme for Research and Innovation aims to facilitate the collaboration between public and private sectors in delivering innovation. To achieve this goal, Union Research and Innovation Programme provides various financial instruments, among which the Horizon 2020 is one of the most significant. Since its implementation, the Horizon 2020 has stimulated the interest of several research organizations making the partnerships among companies their core business for improving local economy. In this context, technological districts are the main proponents of research and innovation spreading in the local territory. In Sicily, the AgroBioPesca district exploited these oppo…

A label compression method for online multi-label classification

2018

Abstract Many modern applications deal with multi-label data, such as functional categorizations of genes, image labeling and text categorization. Classification of such data with a large number of labels and latent dependencies among them is a challenging task, and it becomes even more challenging when the data is received online and in chunks. Many of the current multi-label classification methods require a lot of time and memory, which make them infeasible for practical real-world applications. In this paper, we propose a fast linear label space dimension reduction method that transforms the labels into a reduced encoded space and trains models on the obtained pseudo labels. Additionally…

2015

Previous studies have documented the detrimental effects of microgravity on human sensorimotor skills. While that work dealt with simple, laboratory-type skills, we now evaluate the effects of microgravity on a complex, realistic instrument-control skill. Twelve participants controlled a simulated power plant during the short-term microgravity intervals of parabolic flight as well as during level flight. To this end they watched multiple displays, made strategic decisions and used multiple actuators to maximize their virtual earnings from the power plant. We quantified control efficiency as the participants’ net earnings (revenue minus expenses), motor performance as hand kinematics and dyn…

Personal goal appraisals vary across both individuals and goal contents

2009

Abstract This study examined personal goals as a multilevel construct. After investigating to what extent goal appraisals were characteristics of an individual as compared to the extent to which they vary across different goals, both individual-level and goal-level predictors of goal appraisals were examined. To examine these research questions 477 undergraduates filled in the Personal Project Analysis and Beck’s Depression inventory. Multilevel modeling showed that, although goal appraisals varied between individuals, they differed to greater extent across the different goals a particular person reported. At the individual level, a high amount of depressive symptoms was associated with a l…