In this paper a classification-based method for the automatic detection of glottal closure instants (GCIs) from the speech signal is proposed. Peaks in the speech waveforms are taken as candidates for GCI placements. A classification framework is used to train a classification model and to classify whether or not a peak corresponds to the GCI. We show that the detection accuracy in terms of F1 ...

BACKGROUND Transcription factors are important controllers of gene expression and mapping transcription factor binding sites (TFBS) is key to inferring transcription factor regulatory networks. Several methods for predicting TFBS exist, but there are no standard genome-wide datasets on which to assess the performance of these prediction methods. Also, it is believed that information about seque...

We address the problem of optimally assigning spatially distributed tasks to a team of heterogeneous mobile agents in domains with inter-task temporal constraints, such as precedence constraints. Due to delay penalties, satisfying the temporal constraints impacts the overall team cost. We present a mathematical model of the problem, a benchmark anytime bounded optimal solution process, and an a...

X iv :p hy si cs /0 40 20 85 v3 [ ph ys ic s. da ta -a n] 1 1 M ar 2 00 4 FINDING TWO-DIMENSIONAL PEAKS Z. K. SILAGADZE Budker Institute of Nuclear Physics, 630 090, Novosibirsk, Russia Abstract. Two-dimensional generalization of the original peak finding algorithm suggested earlier is given. The ideology of the algorithm emerged from the well known quantum mechanical tunneling property which e...

It is common practice to assume that Bragg scattering peaks have Gaussian shape. The Gaussian shape function is used to perform most instrumental smearing corrections. Using Monte Carlo ray tracing simulation, the resolution of a realistic small-angle neutron scattering (SANS) instrument is generated reliably. Including a single-crystal sample with large d-spacing, Bragg peaks are produced. Bra...

The separation of PSP toxins using liquid chromatography with a post-column oxidation fluorescence detection method was performed with different matrices. The separation of PSP toxins depends on several factors, and it is crucial to take into account the presence of interfering matrix peaks to produce a good separation. The matrix peaks are not always the same, which is a significant issue when...

High-speed counter-current chromatography (HSCCC) technique in semi-preparative scale has been applied to separate and purify salvianolic acids from the water extract of Danshen, Salvia miltiorrhiza Bunge. High efficiency HSCCC separation was achieved on a two-phase solvent system composed of a mixture of n-hexane-ethyl acetate-water-methanol (1.5:5:5:1.5, v/v) by eluting the lower mobile phase...

In this paper, an application of Quality by Design (QbD) concepts to the development of a stability indicating HPLC method for a complex pain management drug product containing drug substance, two preservatives, and their degradants is described. The QbD approach consisted of (i) developing a full understanding of the intended purpose, (ii) developing predictive solutions, (iii) designing a mea...

In this paper we propose a novel performance analysis approach that can be used to gauge quantitatively the performance characteristics of di erent mobile-agent platforms. We materialize this approach as a hierarchical framework of benchmarks designed to isolate performance properties of interest, at di erent levels of detail. We identify the structure and parameters of benchmarks and propose m...

In this article, we propose a new approach for mobile robot localization and hybrid map building simultaneously without using any odometry hardware system. The proposed method termed as Genetic Bayesian ARAM comprises twomain components: (1) steadystate genetic algorithm (SSGA) for self-localization and occupancy grid map building and (2) Bayesian Adaptive Resonance Associative Memory (ARAM) fo...