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This paper introduces MDAC equalization, a digital correction technique for pipeline ADCs that corrects MDAC gain and settling errors using successive digital FIR filters operating on sub-ADC output samples. This technique reduces the required MDAC residue amplifier (RA) bandwidth relative to the sampling frequency, thereby reducing ADC power. MDAC(More)
Extracellular DNA (eDNA) is produced by several bacterial species and appears to contribute to biofilm development and cell-cell adhesion. We present data showing that the oral commensals Streptococcus sanguinis and Streptococcus gordonii release DNA in a process induced by pyruvate oxidase-dependent production of hydrogen peroxide (H(2)O(2)). Surprisingly,(More)
While Escherichia coli is widely used as an indicator of fecal contamination of waterways, recent studies suggest that this bacterium may become "naturalized" to soils. In this study, we investigated the survival and growth of naturalized E. coli in temperate soil in northern Minnesota. A spontaneously-occurring, antibiotic resistant E. coli strain, KS7-NR,(More)
Training model to generate data has increasingly attracted research attention and become important in modern world applications. We propose in this paper a new geometry-based optimization approach to address this problem. Orthogonal to current state-of-the-art density-based approaches, most notably VAE and GAN, we present a fresh new idea that borrows the(More)
We propose in this paper a novel approach to tackle the problem of mode collapse encountered in generative adversarial network (GAN). Our idea is intuitive but proven to be very effective, especially in addressing some key limitations of GAN. In essence, it combines the Kullback-Leibler (KL) and reverse KL divergences into a unified objective function, thus(More)
Automated detection of abnormalities in data has been studied in research area in recent years because of its diverse applications in practice including video surveillance, industrial damage detection and network intrusion detection. However, building an effective anomaly detection system is a non-trivial task since it requires to tackle challenging issues(More)
Automated detection of anomalous events plays an important role in video surveillance systems in practice. This task, however, requires to deal with three challenging problems of the lack of annotated training data, the inexact description of what to be “abnormal” and the expensive feature engineering procedure. Most anomaly detection systems are only able(More)
With the increasing complexity of modern communications networks, Software Defined Networking (SDN) has been proposed as an approach that can solve a variety of real network management problems. The separation between the control plane and the data plane within SDN brings the flexibility which can aid network operators to reduce complexity, cost, and(More)
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