Search results for "Learning"
showing 10 items of 6669 documents
Cyclotron radiation emission spectroscopy signal classification with machine learning in project 8
2019
The Cyclotron Radiation Emission Spectroscopy (CRES) technique pioneered by Project 8 measures electromagnetic radiation from individual electrons gyrating in a background magnetic field to construct a highly precise energy spectrum for beta decay studies and other applications. The detector, magnetic trap geometry, and electron dynamics give rise to a multitude of complex electron signal structures which carry information about distinguishing physical traits. With machine learning models, we develop a scheme based on these traits to analyze and classify CRES signals. Understanding and proper use of these traits will be instrumental to improve cyclotron frequency reconstruction and help Pro…
E-learning as a Challenge for Widening of Opportunities for Improvement of Students' Generic Competences
2012
The rapidly changing economic, financial and social conditions require new knowledge and competences in order to be able to understand them, adapt to the new requirements and remain competitive and successful in the globalised social environment. Widening the access to lifelong learning is one way in which this could be achieved. A special role in this process is given to universities as promoters of lifelong learning. E-learning is a means of promoting the changes in academic studies and providing an opportunity to integrate non-formal and informal learning elements into formal education. Individualisation, learning opportunities flexible in time, as well as the e-environment can facilita…
Meeting the Challenges of Generational Change in the Teaching Profession : Towards a European Model for Intergenerational Teacher Collaboration
2013
In a European-wide effort to improve the professional development of teachers, the 2AgePro project was conducted from November 2008 to October 2010. One of its goals was to develop and test different forms of intergenerational teacher collaboration among junior and senior teachers in primary and secondary schools. Another aim was to utilise the results from these pilots, which were conducted in the Czech Republic, Finland, Germany, the Netherlands, and Sweden, to create a model for intergenerational collaboration that could be used in any national or cultural setting. This article reports on the national pilots and proposes a European model for intergenerational collaboration for teachers. …
Vertical Governance, National Regulation and Autonomy of Local Policy Making
2015
International audience; This chapter introduces a categorization of the 11 European countries according to their general vertical governance structures between national, regional and local levels in welfare policy making. It investigates the extent to which, and how, local policies and service provision are regulated and controlled from the national state level, and how much space this leaves for local policy actors in welfare policy formation. The analysis takes into account that local welfare policies are formulated in the context of national and to some extent international policies. The 11 countries can be divided into three groups, having a centralized (England, Ireland), multi-level (…
Entrepreneurship Training and Self-Employment among University Graduates
2012
In economies characterized by low labor demand and high rates of youth unemployment, entrepreneurship training has the potential to enable youth to gain skills and create their own jobs. This paper presents experimental evidence on a new entrepreneurship track that provides business training and personalized coaching to university students in Tunisia. Undergraduates in the final year of licence appliquee were given the opportunity to graduate with a business plan instead of following the standard curriculum. This paper relies on randomized assignment of the entrepreneurship track to identify impacts on labor market outcomes one year after graduation. The analysis finds that the entrepreneur…
Deep Learning Architectures for DNA Sequence Classification
2016
DNA sequence classification is a key task in a generic computational framework for biomedical data analysis, and in recent years several machine learning technique have been adopted to successful accomplish with this task. Anyway, the main difficulty behind the problem remains the feature selection process. Sequences do not have explicit features, and the commonly used representations introduce the main drawback of the high dimensionality. For sure, machine learning method devoted to supervised classification tasks are strongly dependent on the feature extraction step, and in order to build a good representation it is necessary to recognize and measure meaningful details of the items to cla…
Social transmission in the wild can reduce predation pressure on novel prey signals
2021
Funder: Suomen Kulttuurirahasto (Finnish Cultural Foundation); doi: https://doi.org/10.13039/501100003125
Towards Low-Cost Pavement Condition Health Monitoring and Analysis Using Deep Learning
2020
Governments are faced with countless challenges to maintain conditions of road networks. This is due to financial and physical resource deficiencies of road authorities. Therefore, low-cost automated systems are sought after to alleviate these issues and deliver adequate road conditions for citizens. There have been several attempts at creating such systems and integrating them within Pavement management systems. This paper utilizes replicable deep learning techniques to carry out hotspot analyses on urban road networks highlighting important pavement distress types and associated severities. Following this, analyses were performed illustrating how the hotspot analysis can be carried out to…
Machine learning at the interface of structural health monitoring and non-destructive evaluation
2020
While both non-destructive evaluation (NDE) and structural health monitoring (SHM) share the objective of damage detection and identification in structures, they are distinct in many respects. This paper will discuss the differences and commonalities and consider ultrasonic/guided-wave inspection as a technology at the interface of the two methodologies. It will discuss how data-based/machine learning analysis provides a powerful approach to ultrasonic NDE/SHM in terms of the available algorithms, and more generally, how different techniques can accommodate the very substantial quantities of data that are provided by modern monitoring campaigns. Several machine learning methods will be illu…
Dynamic Perception of Plastic Movements: Biomechanics and Digital Artifacts
2017
The article offers some reflections on the body-space relationship through images, graphic translations and visual studies that converge into a contemporary digital illuminated avant-garde of the fourth virtual dimension. Starting from the study of the Soviet coreutics of the 1920s and the biomechanics of multimedia performances, it moves on the cinesthetic suggestions and to the dance theorization integrated with the musical score. Finally, some contemporary forms of digital image production are taken into account by addressing a number of issues regarding the exploration of the object-image and its experiential re-elaboration through the production of new graphic knowledge.