Inspired by recent evidence that a binary pattern may provide sufficient information for human speech recognition, this letter proposes a fundamentally different approach to robust automatic speech recognition. Specifically, recognition is performed by classifying binary masks corresponding to a word utterance. The proposed method is evaluated using a subset of the TIDigits corpus to perform is...

The neural circuitry that increases attention to goal-relevant stimuli when we are in danger of becoming distracted is a matter of active debate. To address several long-standing controversies, we asked participants to identify a letter presented either visually or auditorily while we varied the amount of cross-modal distraction from an irrelevant letter in the opposite modality. Functional mag...

In this research, an automatic control system is designed for landing of a small helicopter on a 4 DOF moving platform. The platform has three translational and one directional degree of freedom. The controller design approach is based on development of helicopter nonlinear dynamic model into the SDC (State Dependent Coefficient) form and real time solving of state dependent Riccati equation (S...

Here we present work in progress towards a fully automatic system that monitors a honeybee hive over many days, deriving information on the position and velocity of each bee, and detecting and identifying each instance of a social interaction. Each bee is tagged with a unique identifier, enabling the system to know exactly which individuals interacted in each case. The final result should be a ...

Genetic programming has been applied to the automatic visual inspection of a biochemical microlaboratory. A software system for evolving pixel classifiers using techniques of genetic programming has been developed and used to evolve classifiers for image segmentation. An existing quality control system has been extended with functionality for inspecting a certain part of the microlaboratory, de...

In this paper one solution for teaching skills to construct the control object frequency characteristics method is described. Student’s mistakes are discovered and classified. Based on signal-parametric approach to fault diagnosis in dynamic systems mathematical diagnostic models which allow detecting mistake classes by comparing student calculated results and system calculated results are crea...

Automatic relation extraction provides great support for scientists and database curators in dealing with the extensive amount of biomedical textual data. The DDIExtraction 2013 challenge poses the task of detecting drugdrug interactions and further categorizing them into one of the four relation classes. We present our machine learning system which utilizes lexical, syntactical and semantic ba...