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.

How to improve consumer decision skills in children? A case study of an intervention with institutionalized children

The aim of this study is to assess the institutionalized children’s skills as consumers but also to assess how we can improve their knowledge through an intervention. The sample was composed of two subgroups (38 institutionalized children and 36 non-institutionalized children). In order to assess children’s knowledge, a questionnaire and an interview were used. The method used as intervention was a 30-minute class. Results suggested that institutionalized children have lower levels of knowledge regarding consumption-related practices and lower levels of accuracy at estimating prices than non-institutionalized children. However, results also showed that the attitudes of institutionalized children towards advertising and making decisions based on price/quantity evaluation or based on the use of the same strategy in different situations are not significantly different from the non-institutionalized children. Regarding the intervention, it was possible to conclude that one class is not the best method to improve children’s knowledge. Institutionalized children need a longer and more practical intervention.

Evaluation of outpatient child-adolescent mental health services (CAMHS) in Attica-Greece

ABSTRACT: Background: Childhood is a critical time for social and emotional development, educational progress and mental health prevention. Mental health for children and adolescents is defined by the achievement of expected developmental, cognitive, social and emotional skills. The development of child-adolescent mental health services (CAMHS) is a necessity for each country, not only as a prevention measure for the wellbeing of people, but also as an investment to the future of countries. Qualitative evaluation of services is the only way to ensure whether services function under quality standards and increase the possibility of better outcomes for their patients. This study examines the greek outpatient CAMHS against the British Standards of National Institute of Excellence for community CAMHS. The Standards assessed refer to the areas of Assessment, Care and Intervention. Objectives: The main objectives of the study are 1) to evaluate Greek outpatient CAMHS in the Attica region 2) to promote the evaluation process for mental health services in Greece. Methods: Due to the fact that Greek services are based on the British model, the tool used was the British self-review questionnaire of Quality Network for Community CAMHS(QNCC).The tool was translated, adapted and posted to services. Twelve out of twenty outpatient CAMHS of Attica (including Athens) responded. Data was collected and performed by the Statistical Package for Social Sciences SPSS. Results: The study resulted that the CAMHS examined, meet moderately the British Standards of 1) Referral and Access, 2) Assessment & Care planning, 3) Care & Intervention. Two out of twelve services examined, meet the standards of "Assessment and Care" in a higher percentage between 75% and 100%. Conclusions: The paper describes a satisfactory function of CAMHS in Attica prefecture taking into consideration the extremely difficult political situation of Greece at the time of the research. Strong and weak domains are identified. Also the translation and adaptation of British tools promote the evaluation process and quality assurance of Greek CAMHS.