Development of a novel immersive interactive virtual reality cricket simulator for cricket batting

Research in the field of sports performance is constantly developing new technology to help extract meaningful data to aid in understanding in a multitude of areas such as improving technical or motor performance. Video playback has previously been extensively used for exploring anticipatory behaviour. However, when using such systems, perception is not active. This loses key information that only emerges from the dynamics of the action unfolding over time and the active perception of the observer. Virtual reality (VR) may be used to overcome such issues. This paper presents the architecture and initial implementation of a novel VR cricket simulator, utilising state of the art motion capture technology (21 Vicon cameras capturing kinematic profile of elite bowlers) and emerging VR technology (Intersense IS-900 tracking combined with Qualisys Motion capture cameras with visual display via Sony Head Mounted Display HMZ-T1), applied in a cricket scenario to examine varying components of decision and action for cricket batters. This provided an experience with a high level of presence allowing for a real-time egocentric view-point to be presented to participants. Cyclical user-testing was carried out, utilisng both qualitative and quantitative approaches, with users reporting a positive experience in use of the system.

Determination of (0,2)-regular sets in graphs and applications

In this paper, relevant results about the determination of (k,t)-regular sets, using the main eigenvalues of a graph, are reviewed and some results about the determination of (0,2)-regular sets are introduced. An algorithm for that purpose is also described. As an illustration, this algorithm is applied to the determination of maximum matchings in arbitrary graphs.

The alternating least-squares algorithm for CDPCA

Clustering and Disjoint Principal Component Analysis (CDP CA) is a constrained principal component analysis recently proposed for clustering of objects and partitioning of variables, simultaneously, which we have implemented in R language. In this paper, we deal in detail with the alternating least-squares algorithm for CDPCA and highlight its algebraic features for constructing both interpretable principal components and clusters of objects. Two applications are given to illustrate the capabilities of this new methodology.

Apuntes del curso Lógica 2, semestre 2009-2

Conjunto de archivos relacionados con los temas de la asignatura Lógica 2: Reglas de Inferencia, ejercicios de lógica resueltos y tareas propuestas para los alumnos de la licenciatura en Filosofía que cursan esta asignatura.

Efeito da substituição da farinha de peixe por farinha de algas Gracilaria sp. e Ulva rigida no crescimento e nos parâmetros metabólicos da dourada (Sparus aurata)

Dissertação mestr., Engenharia Biológica, Universidade do Algarve, 2008

Identification of descendants of an extinct bovine population from the Algarve region of Portugal using numerical taxonomy analysis of morphological traits

The morphology of a sample of four bulls and 43 cows, presumed to be descendants of the extinct cattle breed ‘Algarvia’ (AG), was used to assign their relationship with animals from other Portuguese autochthonous breeds – Arouquesa (AR), Barrosa˜ (BA), Cachena (CA), Marinhoa (MA), Maronesa (MO), Minhota (MN), Mirandesa (MI), (only bulls), Alentejana (AL), Garvonesa (GA), Mertolenga (ME) and Preta (PR). Standard numerical taxonomic methods were applied to a set of 183 (cows) and 170 (bulls) traits, to derive average pairwise taxonomic distances among the sample of 257 cows and 76 bulls. Distance coefficients (morphological index of distance) ranged from 0.22 to 2.62 (cows) and from 0.49 to 2.13 (bulls). Unweighted pair group method using arithmetic averages (UPGMA)-based phenograms and a principal coordinate analysis showed that bulls were highly clustered and cows showed a tendency to cluster according to their geographical and breed origin. The AG population grouped together with GA, AL, ME and MN breeds in the Red Convex group. The average taxonomic distance among breeds was 1.02, the highest being 1.39 (ME versus BA) and the lowest being 0.64 (MA versus AR). The approach allowed for the identification of a phenotypically differentiated set of animals, comprising 19 cows and four bulls representative of the AG breed, and which can be targeted in further studies aiming at the recovery of this extinct breed.

Circulação monetária na urbe de Faro: o sítio da Horta da Misericórdia (D. Sancho I a D. Afonso V) 1185-1481

A presente dissertação visou a investigação da circulação monetária na urbe de Faro, designadamente no caso de estudo que é o da Horta da Misericórdia, desde o início do reinado de D. Sancho I (1185), até ao final do reinado de D. Afonso V (1481). Partindo de um total de 604 exemplares monetários, seleccionamos 319, que se adequavam ao âmbito proposto e ainda um ou outro a título meramente exemplificativo. Recorrendo a uma extensa base documental – se bem que com imensos hiatos no que toca a alguns monarcas em particular, como por exemplo nos casos de D. Duarte I ou ainda D. Dinis I, só para citar alguns exemplos – com a leitura crítica de algumas fontes, mormente as historiográficas e mais longínquas no passado. A partir dessa colecção numismática, procuramos inferir algumas conclusões, em alguns casos mais passíveis de resultados do que noutros. Procuramos assim, obter leituras do passado, a que a numismática nos pudesse dar mais algumas respostas minimamente plausíveis. O estudo que efectuamos permitiu-nos compreender a complexidade profunda de que se revestem os estudos numismáticos, neste caso, para este ponto específico do Algarve. Buscamos apresentar e responder a questões tais como monarcas mais representados, tipologias monetárias, metais mais utilizados, proveniências, metrologia, cerceios, contextos. Procurando oferecer uma contribuição mais, face a estudos mais latos de âmbito histórico-geográfico, neste campo específico do saber humano.

Biologically Inspired Vision for Indoor Robot Navigation

Ultrasonic, infrared, laser and other sensors are being applied in robotics. Although combinations of these have allowed robots to navigate, they are only suited for specific scenarios, depending on their limitations. Recent advances in computer vision are turning cameras into useful low-cost sensors that can operate in most types of environments. Cameras enable robots to detect obstacles, recognize objects, obtain visual odometry, detect and recognize people and gestures, among other possibilities. In this paper we present a completely biologically inspired vision system for robot navigation. It comprises stereo vision for obstacle detection, and object recognition for landmark-based navigation. We employ a novel keypoint descriptor which codes responses of cortical complex cells. We also present a biologically inspired saliency component, based on disparity and colour.

Evaluation of the human factor in the scheduling of smart appliances in smart grids

Recently there has been an increase of interest in implementing a new set of home appliances, known as Smart Appliances that integrate Information Technologies, the Internet of Things and the ability of communicating with other devices. While Smart Appliances are characterized as an important milestone on the path to the Smart Grid, by being able to automatically schedule their loads according to a tariff or reflecting the power that is generated using renewable sources, there is not a clear understanding on the impact that the behavior of such devices will have in the comfort levels of users, when they shift their working periods to earlier, or later than, a preset time. Given these considerations, in this work we analyse the results of an assessment survey carried out to a group of Home Appliance users regarding their habits when dealing with these machines and the subjective impact in quality caused by either finishing its programs before or after the time limit set by the user. The results of this work are expected to be used as input for the evaluation of load scheduling algorithms running in energy management systems. © 2014 Springer International Publishing.

LifeSpeeder: a web and mobile platform for events location

The use of smartphones and tablets as become almost banal in these days. Smartphones, besides serving their main purpose of making and receiving calls, come to be one of the main equipments to obtain information from the Internet, using the commonly installed browsers or through the use of dedicated applications. Furthermore, several other devices are also very frequent to the majority of the modern smartphones and tablets in the market (e.g., GPS - Global Positioning System). This devices give the current systems a very high potential of usage. One example of applicability, comes from the wish to find and navigate to events or activities which are or will soon be occurring near the user. The LifeSpeeder platform is one of the first applications in the mobile equipment market of applications which take into consideration exactly what we have just outlined, i.e., a mobile and desktop application which allows the users to locate events according with their preferences and to get help navigating to them. In this paper we briefly describe the LifeSpeeder's front and back-end. © 2014 Springer International Publishing.

A computer vision based web application for tracking soccer players

Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport's world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game. © 2014 Springer International Publishing.

A computer vision based web application for tracking soccer players

Soccer is a sport where everyone that is involved with it make all the efforts aiming for excellence. Not only the players need to show their skills on the pitch but also the coach, and the remaining staff, need to have their own tools so that they can perform at higher levels. Footdata is a project to build a new web application product for soccer (football), which integrates two fundamental components of this sport’s world: the social and the professional. While the former is an enhanced social platform for soccer professionals and fans, the later can be considered as a Soccer Resource Planning, featuring a system for acquisition and processing information to meet all the soccer management needs. In this paper we focus only in a specific module of the professional component. We will describe the section of the web application that allows to analyse movements and tactics of the players using images directly taken from the pitch or from videos, we will show that it is possible to draw players and ball movements in a web application and detect if those movements occur during a game.

Assemblage structure and secondary production of mesozooplankton in shallow water volcanic CO2 vents of the Azores

Dissertação de mestrado, Biologia Marinha, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2015

Beschäftigte und Beschäftigungsstrukturen in Pflegeberufen : eine Analyse der Jahre 1999 bis 2009 ; Studie für den Deutschen Pflegerat

Seit einigen Jahren wird zunehmend intensiver über das Angebot und den Bedarf an Fachkräften in der Pflege diskutiert. Dazu wurden bereits eine Reihe von Studien und Prognosen veröffentlicht, die allerdings zu sehr unterschiedlichen Ergebnissen kamen. In der öffentlichen wie auch in der wissenschaftlichen Diskussion sind deshalb gegenwärtig eine Vielzahl unterschiedlicher Zahlen anzutreffen. Die Unterschiede sind allerdings nicht nur auf methodische Unterschiede zurückzuführen, sondern vor allem auch darauf, dass es bislang an zuverlässigen und ausreichend differenzierten Daten amtlicher Statistiken zur Gesamtzahl der Beschäftigten in Pflegeberufen mangelt. Zwar bietet die Gesundheitspersonalrechnung (GPR) des Statistischen Bundesamtes einrichtungsübergreifende Angaben zur Gesamtzahl der Beschäftigten in Pflegeberufen, diese sind jedoch zum einen nicht ausreichend differenziert und basieren zum anderen zu einem wesentlichen Teil auf einer Hochrechnung von Ergebnissen der 1 %-Haushaltsstichprobe des Mikrozensus. Die Angaben der GPR sind darum mit dem Risiko behaftet, dass sie aufgrund von Schätzfehlern die tatsächliche Zahl der Beschäftigten über- oder unterschätzen. Zuverlässigere Angaben zur Beschäftigung in Pflegeberufen bieten Teilstatistiken des Gesundheitswesens, die ihre Daten auf dem Wege einer Vollerhebung mit gesetzlicher Auskunftspflicht der befragten Einrichtungen gewinnen. Dies sind die Krankenhausstatistik, die Statistik der Vorsorge- und Rehabilitationseinrichtungen und die Pflegestatistik. In der vorliegenden Studie werden deren Daten erstmals zu einer Gesamtstatistik der Pflegeberufe zusammengeführt. Das Ergebnis ist eine Datenaufbereitung zur Entwicklung und zum Stand der Beschäftigung in Pflegeberufen in Deutschland im Zeitraum 1999-2009, die nicht nur Zahlen zur Gesamtbeschäftigung bietet, sondern auch differenziert nach einzelnen Pflegeberufen und Versorgungsbereichen (Krankenhaus, Rehabilitationsbereich, ambulante Pflegeeinrichtungen und Pflegeheime). Die Analyse der zusammengeführten Daten führt zu einer Reihe von Ergebnissen, die insbesondere auch für die gesundheitspolitische Diskussion von Bedeutung sind.

Future Air Quality Related Health Effects in Europe and the Nordic Region—Sensitivity to Changes in Climate, Anthropogenic Emissions, Demography and Building Stock

Future changes in population exposures to ambient air pollution are inherently linked with long-term trends in outdoor air quality, but also with changes in the building stock. Moreover, the burden of disease is further driven by the ageing of the European populations. This study aims to assess the impact of changes in climate, emissions, building stocks and population on air pollution related human health impacts across Europe in the future. Therefore an integrated assessment model combining atmospheric models and health impacts has been setup for projections of the future developments in air pollution related premature mortality. The focus is here on the regional scale impacts of exposure to surface ozone (O3), Secondary Inorganic Aerosols (SIA) and primary particulate matter (PPM).