Computer graphics.

Identifying and tracking individuals affected by this virus in densely
populated areas is a unique and an urgent challenge in the public health sector.
Currently, mapping the spread of the Ebola virus is done manually, however with
the help of social contact networks we can model dynamic graphs and predictive
diffusion models of Ebola virus based on the impact on either a specific person or
a specific community.
With the help of this model, we can make more precise forward
predictions of the disease propagations and to identify possibly infected
individuals which will help perform trace – back analysis to locate the possible
source of infection for a social group. This model will visualize and identify the
families and tightly connected social groups who have had contact with an Ebola
patient and is a proactive approach to reduce the risk of exposure of Ebola
spread within a community or geographic location.

We have an opportunity not only to interact with 3D content but also to
immerse ourselves in it via Virtual Reality (VR). This work is deeply inspired by
my experience as a Ukrainian witnessing the recent turmoil in my homeland. I
wanted people around the globe to experience the horrors that are unfolding.
The Voice of the People, explores narrative storytelling through VR. Ultimately,
the viewer will be able to put on a VR headset and become deeply immersed in
the story. With this technology, the user intimately experiences the war and
devastation created by Russian occupation first hand. The end of World War II is
a critical time in my country’s history. Included in the 3D environment are video
segments of those affected by the current Russian occupation; historical themes
underscore the narrative and help the viewer understand the recurring
aggression by Russia that is part of Ukraine’s history.

This thesis describes the modeling of Martial Arts as a markup language. Up until now Martial Arts has already been documented in books, videos, tradition and other methods. Though to represent Martial Arts knowledge consistently and uniformly in a digital era, we introduce the Martial Arts Markup Language (MAML), which is based on XML. Because XML provides a standardized, serializable and portable format, MAML also enables sharing among students, teachers and their peers across different platforms, media and networks. MAML provides the ability, with appropriate XML tools, to document a Martial Arts style in a structured way. To achieve this, we first analyze the aspects that comprise Martial Arts; and how its states and processes relate to one another. We model in MAML describing the stances, transitions, punches, blocks, techniques, combinations, reactions and patterns used in Martial Arts. We discuss the implementation of MAML by observing and extracting the definable aspects in existing Martial Art Instructive Documents. The MAML Schema assures that the details of a Martial Arts Style’s elements are consistent. Current simulation efforts will be explained as well as areas for future development. We have described Martial Arts by observing what has already been done and creating a structured standard to document them. We hope to enable practitioners’ abilities to learn from and develop their arts by providing a resource in which they can interact with.