Edge intelligence-based proposal for onboard catenary stagger amplitude diagnosis

Autonomous Operations through Onboard Artificial Intelligence

The Autonomous Sciencecraft Experiment (ASE) will fly onboard the Air Force TechSat 21 constellation of three spacecraft scheduled for launch in 2006. ASE uses onboard continuous planning, robust task and goal-based execution, model-based mode identification and reconfiguration, and onboard machine learning and pattern recognition to radically increase science return by enabling intelligent dow...

Contourlet-Based Edge Extraction for Image Registration

Image registration is a crucial step in most image processing tasks for which the final result is achieved from a combination of various resources. In general, the majority of registration methods consist of the following four steps: feature extraction, feature matching, transform modeling, and finally image resampling. As the accuracy of a registration process is highly dependent to the fe...

A proposal for ethically traceable artificial intelligence

Although the problem of assigning a critique of robotic behavior in near-unanimous agreement to human norms seems intractable, a starting point of such a framework is of the collection of knowledge a priori and experience a posteriori categorized in a set of judgments available to the intelligence, translated into computer code. If such an intersection were successful, an algorithm with ethical...

Inexpensive Cost-Optimized Measurement Proposal for Sequential Model-Based Diagnosis

In this work we present strategies for (optimal) measurement selection in model-based sequential diagnosis. In particular, assuming a set of leading diagnoses being given, we show how queries (sets of measurements) can be computed and optimized along two dimensions: expected number of queries and cost per query. By means of a suitable decoupling of two optimizations and a clever search space re...

Prediction Based Diagnosis Using Artificial Intelligence Methods