Abstract-Neurofeedback therapies are an emerging technique used to treat neuropsychological disorders and to enhance cognitive performance. The feedback stimuli presented during the therapy are a key factor, serving as guidance throughout the entire learning process of the brain rhythms. Online decoding of these stimuli could be of great value to measure the compliance and adherence of the subject to the training. This paper describes the modeling and classification of performance feedback potentials with a Brain-Computer Interface (BCI), under a real neurofeedback training with five subjects. LDA and SVM classification techniques are compared and are both able to provide an average performance of approximately 80%.
We present a decision support tool for the analysis and redesign of railroad intermodal terminals. It is a simulation-based platform which provides indicators of service level, resource use and productivity linked to the terminal operations and infrastructures. The platform is composed of two basic elements: a simulation model implemented in a commercial simulator, Witness®, and a configuration interface implemented in MS Excel®. The combination of these components has facilitated building a very flexible and easy-to-use platform so that a user without any knowledge of the simulation software will be able to implement a simulation model of the terminal, by only filling in the required data through an MS Excel file. As the design of the platform has focused on flexibility, a wide range of terminals can be implemented, in terms of infrastructures, handling material, lay out and train and demand patterns. We also present a case study to demonstrate the use of the platform.
This paper presents the criteria and performance indicators used for a structured analysis of two evaluation methods for the applied capabilities of software usage: computer based exam and group project assignment. The results of the application of this structured analysis are presented and discussed.Evaluation, practical capabilities, simulation, assesment, computer based exam.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.