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Artificial intelligence (AI) has been advancing at a fast pace and it is now poised for deployment in a wide range of applications, such as autonomous systems, medical diagnosis and natural language processing. Early adoption of AI technology for real-world applications has not been without problems, particularly for neural networks, which may be unstable and susceptible to adversarial examples. In...
Poor quality data is a growing problem that affects many enterprises across all aspects of their business ranging from operational efficiency to revenue protection. Moreover, this problem is costly to fix because significant effort and resources are required to identify a comprehensive set of rules that can detect (and correct) data defects along various data quality dimensions such as consistency,...
In this paper we show how the complexity of performing nearest neighbor (NNS) search on a metric space is related to the expansion of the metric space. Given a metric space we look at the graph obtained by connecting every pair of points within a certain distance r. We then look at various notions of expansion in this graph relating them to the cell probe complexity of NNS for randomized and deterministic,...
As communication and network technology has advanced into all areas of human life, large-scale failures of such infrastructures can have a drastic impact on its users, the economy and society in general. Significant attention has been paid to study and improve the dependability of such systems, intending to augment their resilience against challenges. This paper presents a computational approach for...
This paper describes an application of linear matrix inequalities (LMIs) to the systematic gain-scheduling design for agile missile autopilot subject to mass variation. Rapid change in the dynamic stability caused by mass variation during boost-phase provides a challenge for the autopilot designer. Application of LMIs incorporated multi-model and gap metric approaches permitted a robust gain-scheduling...
This paper considers metric based nonblocking supervisory control of discrete event systems (DESs). We introduce the definition of metric indicating distace from one state to other state. The states are paritioned into nonblocked states and blocked states based on metric. Then, we suggest the control law for supervisor which blocks blocks the event sequences from nonblocked states to blocked states...
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