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Journals and Conferences
The activity of mitochondrial complex I of the electron transport chain (ETC) is known to be affected by an extraordinarily large number of diverse xenobiotics, and dysfunction at complex I has been associated with a variety of disparate human diseases, including those with potentially environmentally relevant etiologies. However, the risks associated with… (More)
In this paper we study the problem of dynamic optimization of ping schedule in an active sonar buoy network deployed to provide persistent surveillance of a littoral area through multistatic detection. The goal of ping scheduling is to dynamically determine when to ping and which ping source to engage in order to achieve the desirable detection performance.… (More)
miniaturized MALDI-TOF mass spectrometer has been in development at APL for the last several years. Besides meeting the mechanical design challenges in taking a bench-top–sized instrument and shrinking it down for easy and rapid deployment with autonomous operation, sample collection and preparation methods have been developed to analyze, detect, and… (More)
A localization algorithm using radio interferometric measurements is presented. A probabilistic model is constructed that accounts for general noise models and lends itself to distributed computation. A message passing algorithm is derived that exploits the geometry of radio interferometric measurements and can support sparse network topologies and noisy… (More)
A procedure for learning a probabilistic model from mass spectrometry data that accounts for domain specific noise and mitigates the complexity of Bayesian structure learning is presented. We evaluate the algorithm by applying the learned probabilistic model to microorganism detection from mass spectrometry data.
The problem of optimized distributed detection in a system of networked sensors involves a number of design aspects, including balancing probabilities of missed detection and false alarm as well as managing the communication resources through proper in-network information fusion. Moreover, a number of tradeoffs must be exercised, such as the one between the… (More)
We present a probabilistic model checking approach for evaluating the safety and operational suitability of the Airborne Collision Avoidance System X (ACAS X). This system issues advisories to pilots when the risk of mid-air collision is imminent, and is expected to be equipped on all large, piloted aircraft in the future. We developed an approach to… (More)
A novel procedure for learning a probabilistic model from mass spectrometry data that accounts for domain specific noise and mitigates the complexity of Bayesian structure learning is presented. We evaluate the algorithm by applying the learned probabilistic model to microorganism detection from mass spectrometry data.