958 resultados para Frederiksberg (Denmark). Slot.


Relevância:

10.00% 10.00%

Publicador:

Resumo:

This paper presents some of the results already achieved in the European project titled "Simulation for Entrepreneurship - ENTRE4FUTURE". Seven organizations from six different countries participate in this project. Organizations are from two different groups. We have a group of five educational organizations from Romania (project leader), Portugal, Spain, Austria and Denmark. The second group is constituted by two affiliates of chambers of commerce of Romania and Cyprus. The purpose of ENTRE4FUTURE is the exchange of professional experience in matters relating to teaching methodologies, with the curricula of the business simulation and the methodology used in the business simulation courses as an effective method in entrepreneurship for education among young people, the use of the innovative technologies in the business simulation courses between two levels of education - high school and university. The project had its start in 2014 and the end will be in 2016. By this time some results have already been achieved, which passed through the creation of the project website, the reports of the three meetings already held, the presentation of a new curricula for the business simulation courses and a first draft of the Good Practice Guide "Simulation for entrepreneurship".

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Trabalho de Projecto apresentado para cumprimento dos requisitos necessários à obtenção do grau de Mestre em Antropologia dos Direitos Humanos e Movimentos Sociais.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

A dissertation submitted to Departamento de Engenharia Electrotécnica of Faculdade de Ciências e Tecnologia of Universidade Nova de Lisboa in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Engenharia Electrotécnica e de Computadores

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Tese apresentada como requisito parcial para obtenção do grau de Doutor em Gestão de Informação

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Dissertação para obtenção do Grau de Mestre em Energia e Bioenergia

Relevância:

10.00% 10.00%

Publicador:

Resumo:

A Work Project, presented as part of the requirements for the Award of a Masters Degree in Economics from the NOVA – School of Business and Economics

Relevância:

10.00% 10.00%

Publicador:

Resumo:

In the last few years, we have observed an exponential increasing of the information systems, and parking information is one more example of them. The needs of obtaining reliable and updated information of parking slots availability are very important in the goal of traffic reduction. Also parking slot prediction is a new topic that has already started to be applied. San Francisco in America and Santander in Spain are examples of such projects carried out to obtain this kind of information. The aim of this thesis is the study and evaluation of methodologies for parking slot prediction and the integration in a web application, where all kind of users will be able to know the current parking status and also future status according to parking model predictions. The source of the data is ancillary in this work but it needs to be understood anyway to understand the parking behaviour. Actually, there are many modelling techniques used for this purpose such as time series analysis, decision trees, neural networks and clustering. In this work, the author explains the best techniques at this work, analyzes the result and points out the advantages and disadvantages of each one. The model will learn the periodic and seasonal patterns of the parking status behaviour, and with this knowledge it can predict future status values given a date. The data used comes from the Smart Park Ontinyent and it is about parking occupancy status together with timestamps and it is stored in a database. After data acquisition, data analysis and pre-processing was needed for model implementations. The first test done was with the boosting ensemble classifier, employed over a set of decision trees, created with C5.0 algorithm from a set of training samples, to assign a prediction value to each object. In addition to the predictions, this work has got measurements error that indicates the reliability of the outcome predictions being correct. The second test was done using the function fitting seasonal exponential smoothing tbats model. Finally as the last test, it has been tried a model that is actually a combination of the previous two models, just to see the result of this combination. The results were quite good for all of them, having error averages of 6.2, 6.6 and 5.4 in vacancies predictions for the three models respectively. This means from a parking of 47 places a 10% average error in parking slot predictions. This result could be even better with longer data available. In order to make this kind of information visible and reachable from everyone having a device with internet connection, a web application was made for this purpose. Beside the data displaying, this application also offers different functions to improve the task of searching for parking. The new functions, apart from parking prediction, were: - Park distances from user location. It provides all the distances to user current location to the different parks in the city. - Geocoding. The service for matching a literal description or an address to a concrete location. - Geolocation. The service for positioning the user. - Parking list panel. This is not a service neither a function, is just a better visualization and better handling of the information.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

Nowadays, road accidents are a major public health problem, which increase is forecasted if road safety is not treated properly, dying about 1.2 million people every year around the globe. In 2012, Portugal recorded 573 fatalities in road accidents, on site, revealing the largest decreasing of the European Union for 2011, along with Denmark. Beyond the impact caused by fatalities, it was calculated that the economic and social costs of road accidents weighted about 1.17% of the Portuguese gross domestic product in 2010. Visual Analytics allows the combination of data analysis techniques with interactive visualizations, which facilitates the process of knowledge discovery in sets of large and complex data, while the Geovisual Analytics facilitates the exploration of space-time data through maps with different variables and parameters that are under analysis. In Portugal, the identification of road accident accumulation zones, in this work named black spots, has been restricted to annual fixed windows. In this work, it is presented a dynamic approach based on Visual Analytics techniques that is able to identify the displacement of black spots on sliding windows of 12 months. Moreover, with the use of different parameterizations in the formula usually used to detect black spots, it is possible to identify zones that are almost becoming black spots. Through the proposed visualizations, the study and identification of countermeasures to this social and economic problem can gain new grounds and thus the decision- making process is supported and improved.

Relevância:

10.00% 10.00%

Publicador:

Resumo:

versão acessível em http://ace2015.info/wp-content/uploads/2015/11/ACE_2015_submission_148.pdf

Relevância:

10.00% 10.00%

Publicador: