A 3D Path visualization technique in emergency response and training
Palakodety S., Kim S., Ebert D. PhD
Abstract: A 3D emergency response system should provide emergency response teams with the tools needed to plan rescue operations efficiently. Such a system should allow the end user to isolate and observe individuals, named agents, in the emergency site. It should also provide a reasonable view of the 3D environment of the site and communicate information about the emergency situation and the selected agent without clutter. In this paper, an emergency response system is presented that allows first responders in an emergency to perform these tasks. For the purpose of isolating agents, a simple selection tool is provided (a mouse-click or a stylus-tap on the desired agent). For efficient observation of the environment in the context of the selected agent, two camera modes are provided that keep the agent in focus and also offer a good view of the surroundings. For analysis of the emergency situation, keystrokes can be used to control the camera's position and angle. Information about the selected agent (such as the agent's health) and the attributes of the environment surrounding this agent (such as temperature, smoke and Carbon Dioxide levels ) are displayed on the path of the agent itself. An agent's traversed path and future positions are presented in an easy-to-distinguish way. Through examples, the advantages of these visual-analytic features in emergency response and training are presented.
Quantification of protein group coherence and pathway assignment using functional association
Chitale M., Palakodety S., Kihara D.
Abstract: We have developed two scores which quantify the functional coherence of sets of proteins. The scores reflect the actual associations of GO terms observed either in protein annotations or in literature. It has been shown that they have the ability to accurately distinguish biologically relevant groups of proteins from random ones as well as a good discriminative power for detecting interacting pairs of proteins. The scores were further successfully applied for assigning proteins to pathways.
Genuinity detection for printed documents - title not final
Palakodety S., Mikkilineni A., Atallah M., Delp E.
An attempt at building a self-validating paper. This has been submitted to ICIP 2012. I will put the paper here once I hear back from the conference.