Rotation Invariant Real-time Face Detection and Recognition System

In this report, a face recognition system that is capable of detecting and recognizing frontal and rotated faces was developed. Two face recognition methods focusing on the aspect of pose invariance are presented and evaluated - the whole face approach and the component-based approach. The main challenge of this project is to develop a system that is able to identify faces under different viewing angles in realtime. The development of such a system will enhance the capability and robustness of current face recognition technology. The whole-face approach recognizes faces by classifying a single feature vector consisting of the gray values of the whole face image. The component-based approach first locates the facial components and extracts them. These components are normalized and combined into a single feature vector for classification. The Support Vector Machine (SVM) is used as the classifier for both approaches. Extensive tests with respect to the robustness against pose changes are performed on a database that includes faces rotated up to about 40 degrees in depth. The component-based approach clearly outperforms the whole-face approach on all tests. Although this approach isproven to be more reliable, it is still too slow for real-time applications. That is the reason why a real-time face recognition system using the whole-face approach is implemented to recognize people in color video sequences.

Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders

Various studies of asset markets have shown that traders are capable of learning and transmitting information through prices in many situations. In this paper we replace human traders with intelligent software agents in a series of simulated markets. Using these simple learning agents, we are able to replicate several features of the experiments with human subjects, regarding (1) dissemination of information from informed to uninformed traders, and (2) aggregation of information spread over different traders.

Modelling scenarios of diffusion and control of pandemic influenza, italy

En aquest article es resumeixen els resultats publicats en un informe de l' ISS (Istituto Superiore di Sanità) del desembre de 2006, sobre un model matemàtic desenvolupat per un grup de treball que inclou a investigadors de les Universitats de Trento, Pisa i Roma, i els Instituts Nacionals de Salut (Istituto Superiore di Sanità, ISS), per avaluar i mesurar l'impacte de la transmissió i el control de la pandèmia de grip

COMP1205 Legal Perspectives: Information, Data and Living in a Connected World

List of topics and Slides which summarise legal perspectives with suggested methods on how to revise for the exam

What are the priorities for prevention and control of non-communicable diseases and injuries in sub-Saharan Africa and South East Asia?

Last year’s UN high level meeting sought to galvanise the international community into scaling up its response to the escalating global burden of non-communicable diseases. With resources tight, D Chisholm and colleagues examine which interventions should be given priority for action and investment

Information externalities and export trade duration at the firm level

Recent empirical work emphasizes the importance of the extensive margin of trade (new exporters, new export activities) for long run export growth. In this context, understanding the determinants of duration of new exporters is key for underpinning the dynamics of exports growth. As new exporters tend to show low survival rates, identifying the determinants of export duration is highly relevant for academic and policy purposes. In this paper, we explore whether information externalities arising from different levels of spatial interaction allow new exporters to increase the duration of their trade activities. For this, we use transaction level data on Colombian exports between 2004 and 2011. Results show that export networks, understood as the agglomeration of exporting firms at different spatial levels, reduce the risk of dropping out from exporting and that this effect is stronger the more similar are export activities carried out by firms

Sectoral investment composition, capital services measurement and growth in Colombia

This is mainly a discussant paper on measurement criteria upon sector’s investment and capitalservices and the way these composition and measurement issues come to have an impact ongrowth figures for some major sectors of the Colombian economy. The main focus is on distinctionmatters regarding the measurement of capital stock and capital services in the productionprocess. The availability of appropriate data, widely discussed throughout the document, impliesthat major affirmations are more hypothetic than indicative or descriptive in style. Moststatements are established as a motivation device for studies on sector’s activities with a focus onconsistency with aggregate figures.

Power and control : kingship in the middle ages c. 1100-1500.

Trata el tema de la monarquía medieval inglesa entre 1100 y 1500, desde una perspectiva que ayude a los alumnos a acercarse a la historia de la Edad Media y mostrar su relevancia en el mundo actual. Este contenido se adapta a las pruebas de evaluación que realiza el organismo Oxford Cambridge and RSA Examinations (OCR) para obtener el título de General Certificate Secondary Education (GCSE) en historia. Se completa con un material online de apoyo al profesorado.

The measurement and impact of university teacher development programs

Resumen basado en el de la publicaci??n

Operation and control of SBR processes for enhanced biological nutrient removal from wastewater

In the last decades, the awareness of environmental issues has increased in society considerably. There is an increasing need to improve the effluent quality of domestic wastewater treatment processes. This thesis describes the application of the Sequencing Batch Reactor (SBR) technology for Biological Nutrient Removal (BNR) from the wastewater. In particular, the work presented evolves from the nitrogen removal to the biological nutrient removal (i.e. nitrogen plus phosphorous removal) with special attention to the operational strategy design, the identification of possible reactor cycle controls or the influent composition related to the process efficiency. In such sense, also the use of ethanol as an external carbon (when low influent Carbon:Phosphorus (C:P) or Carbon:Nitrogen (C:N) ratios are presented) are studied as an alternative to maintain the BNR efficiency.

A Study on the Efficiency of Synbiotics for Prevention and Control of Diarrhoea in 21 Dogs Submitted to Radiotherapy

A synbiotic is a formulation containing both probiotics and prebiotics. This study aims to evaluate the effect of supplementation with a synbiotic containing Enterococcus faecium strain E1707 (NCIMB 10415) in preventing or controlling diarrhoea and other gastrointestinal signs in boarded canine radiotherapy patients. A double-blind, randomized, placebocontrolled clinical trial was carried out in 21 adult dogs undergoing radiotherapy and boarded for a duration period of 2 to 3 weeks to treat their cancers. Dogs were randomly divided between two groups: A and B, the synbiotic and placebo group, respectively. The content of the sachets was added to the food once daily. Faecal score was assessed daily, and dogs were also monitored for the development of diarrhoea and other gastrointestinal signs such as weight loss, reduced appetite and vomiting. The results from descriptive statistics seem to favour group B, however these findings were not validated with inferential statistics due to insufficient statistical sample power. Because of this, it is not possible to make conclusions about the benefits of synbiotic as supportive treatment for dogs undergoing radiotherapy. All results should be considered to be preliminary, until they are elucidated by further animal inclusion.