The launch of integrative fixed video phone in Spain: Technology-market transfer plan

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

The implementation of RAID Retail in Spain

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

Creation of a web application for smart park system and parking prediction study for system integration

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.

The determinants of Foreign Direct Investments attraction in Portugal and Spain: A comparative analysis

Double Degree. A Work Project presented as part of the requirements for the Award of a Master Degree in Management from the NOVA – School of Business and Economics and a Master Degree in Business Engineering from Louvain School of Management

Internationalization of UniPlaces to the Spanish market: Internationalization plan to Madrid, Spain

Field Lab in Entrepreneurial Innovative Ventures

Historic and recent occurrences of pinnipeds in the Archipelago of the Azores

The Archipelago of the Azores (Portugal) is located between 378 and 418N and 258 and 318W and crosses the Mid-Atlantic Ridge. It is the most isolated archipelago in the Atlantic, situated 1600 km west of mainland Portugal and 3500 km from the eastern coast of the United States of America. At present, the only population of seals occurring in the Portuguese territory is found on Desertas Islands, Archipelago of Madeira, where a colony of 24 Mediterranean monk seals, Monachus monachus (Hermann, 1779), still persists (Pires and Neves 2001). Nonetheless, historical accounts reported by Frutuoso (1983) dating from the early to late 1500s mention sightings of ‘‘sea wolves’’ (the old Portuguese folk term for the Mediterranean monk seal) at several sites along the Azorean Island of Santa Maria. Little is known about the occurrence of monk seals in this area over the past five centuries, but the species certainly did not escape deliberate killing by the first settlers. While the early monk seal reports by Frutuoso (1983) are the only reports referring to the presence of colonies of seals in the Azores, more recently several sightings and strandings of vagrant seals of other species have been noted.

“What matters?”: The case of sustainability reporting in Spain and Portugal

This project explores the case of Sustainability Reporting in Spain and Portugal and the recently launched new generation of Global Reporting Initiative Guidelines. The sample of the study is composed of companies included in the “GRI Report list 1999-2015”. In particular 2013 onwards 51 companies that published their G4 Report are taken into consideration. An indirect study is conducted based on the content of the sustainability reports of companies that implemented the Global Report Initiatives (GRI) reporting guidelines in order to identify focus areas of sustainability reporting in Spain and Portugal, analyzing trends and patterns relevant for observation. The project also promotes a discussion of the usability of the G4 guidelines and the adoption of materiality definition.