The International Timetabling Competition 2002 has been organized by the Metaheuristic Network in order to compare different algorithms in a common measurable ground. All information about problem definition, instances, rules, and solution evaluation is available at the webpage http://www.idsia.ch/ Files/ttcomp2002/, and for the sake of brevity we do not repeat them here. We have participated i...

Title: INDUCIBLE PLANT RESPONSES LINKING ABOVEAND BELOW-GROUND HERBIVORY: ECOLOGICAL SIGNIFICANCE AND UNDERLYING MECHANISMS Ian Kaplan, Doctor of Philosophy, 2007 Directed By: Professor Robert F. Denno, Department of Entomology Aboveand below-ground organisms can indirectly affect one another via several recently-described mechanisms, one such mechanism being herbivore-induced plant responses. ...

The MAV ’08 competition focused on the problem of using air and ground vehicles to locate and rescue hostages being held in a remote building. To execute this mission, a number of technical challenges were addressed, including designing the micro air vehicle (MAV), using the MAV to geo-locate ground targets, and planning the motion of ground vehicles to reach the hostage location without detect...

Photodissociation dynamics for various tryptophan chromophores was studied at 193 or 248 nm using multimass ion imaging techniques. The competition between internal conversion to the ground electronic state and dissociation from the repulsive excited state reveals size-dependent photostability for these amino acid chromophores. As the size of chromophore increases, internal conversion to the gr...

The annual Intelligent Ground Vehicle Competition (IGVC) allows for students on the undergraduate and graduate level to design, build, and test intelligent ground vehicles in a competitive environment. The IGVC is a three part competition consisting of a vehicle design, autonomous navigation through an unknown obstacle course and an interoperability challenge that requires the utilization of th...

This abstract briefly describes a segmentation algorithm developed for the ISIC [1] 2017 Skin Lesion Detection Competition hosted at [2]. The objective of the competition is to perform a segmentation (in the form of a binary mask image) of skin lesions in dermoscopic images as close as possible to a segmentation performed by trained clinicians, which is taken as ground truth. This project only ...