Post-mortem examination of a wild muntjac from Northern Ireland.

1. Deer are of major concern with regards to impacts on biodiversity, forestry and agriculture as well as human health. The invasive Reeves’ muntjac deer Muntiacus reevesi, native to Asia but established in Great Britain, has recently appeared in the wild in Ireland.

2. The first verified record in the wild in Northern Ireland was confirmed during June 2009 as a result of a road traffic accident near Newtownards, Co. Down. The second record was a culled animal shot in the grounds of Mount Stewart, Co. Down during June 2011.

3. The current report aimed to perform a detailed investigation of the most recently obtained animal to establish a) its age, b) its genetic relationship with the first animal and c) the threat it might pose in terms of carrying endo- or ecto-parasites or other micro-pathogens, principally viruses and bacteria.

4. Analysis of its dentition suggested the culled animal was 56 weeks old (range 55-57 weeks).

5. Genetic analysis indicated that there was no possibility of a father-son relationship with the buck killed in 2009. There was a 6.25% probability of both individuals being full-sibs and a 25% probability of a half-sib relationship.

6. The deer was free from all the major pathogens. Most significantly, a novel species of Gammaherpesvirus was detected most closely matching type 2 ruminant rhadinovirus (Gammaherpesvirinae) from mule deer. Further sequencing is required to provide a definitive classification. There is no evidence suggesting this virus is pathogenic but its detection is nonetheless of concern.

7. During late 2009 (after the first animal was recovered) and early 2010, there were a number of sightings of muntjac within the vicinity of Mount Stewart. Our results indicate that the animal shot in June 2011 could not have been this same animal, as the shot animal must have been born in spring 2010. Moreover, genetic analysis indicates that the two recovered individuals were highly unlikely to share the same mother and father, suggesting they were the offspring of a minimum of three breeding adults (two fathers and one mother or two mothers and one father). This brings the total number of known individuals to 5 including the two offspring. The location of the breeding adults is unknown and may be either in captivity with subsequent escapees, or deliberate releases, or be free living in the wild. However, a further sighting during early 2012 may suggest a wild origin.

Automatic detection and classification of football players

Color segmentation of images usually requires a manual selection and classification of samples to train the system. This paper presents an automatic system that performs these tasks without the need of a long training, providing a useful tool to detect and identify figures. In real situations, it is necessary to repeat the training process if light conditions change, or if, in the same scenario, the colors of the figures and the background may have changed, being useful a fast training method. A direct application of this method is the detection and identification of football players.

A hardware solution on multi-field packet classification

In this paper, a hardware solution for packet classification based on multi-fields is presented. The proposed scheme focuses on a new architecture based on the decomposition method. A hash circuit is used in order to reduce the memory space required for the Recursive Flow Classification (RFC) algorithm. The implementation results show that the proposed architecture achieves significant performance advantage that is comparable to that of some well-known algorithms. The solution is based on Altera Stratix III FPGA technology.

Inventing the Origin of Theatre History: The Modern Uses of Juba II's 'teatriké historia'

Gender Classification via Lips: Static and Dynamic Features

Automatic gender classification has many security and commercial applications. Various modalities have been investigated for gender classification with face-based classification being the most popular. In some real-world scenarios the face may be partially occluded. In these circumstances a classification based on individual parts of the face known as local features must be adopted. We investigate gender classification using lip movements. We show for the first time that important gender specific information can be obtained from the way in which a person moves their lips during speech. Furthermore our study indicates that the lip dynamics during speech provide greater gender discriminative information than simply lip appearance. We also show that the lip dynamics and appearance contain complementary gender information such that a model which captures both traits gives the highest overall classification result. We use Discrete Cosine Transform based features and Gaussian Mixture Modelling to model lip appearance and dynamics and employ the XM2VTS database for our experiments. Our experiments show that a model which captures lip dynamics along with appearance can improve gender classification rates by between 16-21% compared to models of only lip appearance.