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Bing Xiao, Shen Yin
This paper investigates a difficult problem of reconstructing actuator faults for robotic manipulators. An intelligent approach with fast reconstruction property is developed. This is achieved by using observer technique. This scheme is capable of precisely reconstructing the actual actuator fault. It is shown by Lyapunov stability analysis that the reconstruction error can converge to zero after finite time. A perfect reconstruction performance including precise and fast properties can be provided for actuator fault...
January 16, 2017: IEEE Transactions on Cybernetics
Abhishek Sharma, Suresh Sundaram
This paper explores the utility of information derived from the dynamic time warping (DTW) cost matrix for the problem of online signature verification. The prior works in literature primarily utilize only the DTW scores to authenticate a test signature. To the best of our knowledge, the characteristics of the warping path (used for the alignment) in the cost matrix is hardly exploited for verification of online signatures. Accordingly, we devise a score that utilizes the information from the cost matrix and warping path alignments...
January 17, 2017: IEEE Transactions on Cybernetics
Pranav Deshpande, M Sabarimalai Manikandan
Accurate determination of glottal instants and electroglottographic (EGG) parameters is most important in voice pathology analysis including multiple voice disorders: neurological, functional, and laryngeal diseases. In this paper, we present a new effective method for reliable detection of glottal instants and EGG parameters from an EGG signal composed of voiced and non-voice segments. In the first stage, we present an adaptive variational mode decomposition (aVMD) based algorithm for suppressing low-frequency artifacts and additive high-frequency noises...
January 17, 2017: IEEE Journal of Biomedical and Health Informatics
Vincent Drouard, Radu Horaud, Antoine Deleforge, Sileye Ba, Georgios Evangelidis
Head-pose estimation has many applications, such as social event analysis, human-robot and human-computer interaction, driving assistance, and so forth. Head-pose estimation is challenging because it must cope with changing illumination conditions, variabilities in face orientation and in appearance, partial occlusions of facial landmarks, as well as bounding-box-to- face alignment errors. We propose tu use a mixture of linear regressions with partially-latent output. This regression method learns to map high-dimensional feature vectors (extracted from bounding boxes of faces) onto the joint space of head-pose angles and bounding-box shifts, such that they are robustly predicted in the presence of unobservable phenomena...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Zhao Zhang, Fanzhang Li, Mingbo Zhao, Li Zhang, Shuicheng Yan
We propose two nuclear- and L2,1-norm regularized two-dimensional neighborhood preserving projection (2DNPP) methods for extracting representative 2D image features. 2DNPP extracts neighborhood preserving features via minimizing the Frobenius norm based reconstruction error that is very sensitive to noise and outliers in data. To make the distance metric more reliable and robust, and encode the neighborhood reconstruction error more accurately, we minimize the nuclear- and L2,1-norm based reconstruction error respectively and measure it over each image...
January 16, 2017: IEEE Transactions on Image Processing: a Publication of the IEEE Signal Processing Society
Joshua E Soneson
Wide-angle parabolic models are commonly used in geophysics and underwater acoustics but have seen little application in medical ultrasound. Here a wide-angle model for continuous-wave high-intensity ultrasound beams is derived which approximates the diffraction process more accurately than the commonly-used Khokhlov-Zabolotskaya-Kuznetsov (KZK) equation without increasing implementation complexity or computing time. A method for preventing the high spatial frequencies often present in source boundary conditions from corrupting the solution is presented...
January 16, 2017: IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Maria Sainz de Cea, Robert Nishikawa, Yongyi Yang
Computerized detection of clustered microcalcifica tions (MCs) in mammograms often suffers from the occurrence of false positives (FPs), which can vary greatly from case to case. We investigate how to apply statistical estimation to determine the number of FPs that are present in a detected MC lesion. First, we describe the number of true positives (TPs) by a Poisson-Binomial probability distribution, wherein a logistic regression model is trained to determine the probability for an individual detected MC to be a TP based on its detector output...
January 17, 2017: IEEE Transactions on Medical Imaging
Linas Svilainis, Kristina Lukoseviciute, Dobilas Liaukonis
ToF estimation errors for two reflections have been analyzed. Case of high signal-to-noise ratio was assumed, when accuracy of the order of few nanoseconds can be achieved. It was indicated that additional bias errors are introduced in ToF estimator when other reflection is in close temporal proximity to the reflection of interest. Research demonstrates that iterative deconvolution does not improve the accuracy significantly. Novel technique is suggested which addresses this issue by means of a reiterative deconvolution...
January 7, 2017: Ultrasonics
Yuan Chang Leong, Angela Radulescu, Reka Daniel, Vivian DeWoskin, Yael Niv
Little is known about the relationship between attention and learning during decision making. Using eye tracking and multivariate pattern analysis of fMRI data, we measured participants' dimensional attention as they performed a trial-and-error learning task in which only one of three stimulus dimensions was relevant for reward at any given time. Analysis of participants' choices revealed that attention biased both value computation during choice and value update during learning. Value signals in the ventromedial prefrontal cortex and prediction errors in the striatum were similarly biased by attention...
January 18, 2017: Neuron
Jan R Wessel, Adam R Aron
Unexpected events are part of everyday experience. They come in several varieties-action errors, unexpected action outcomes, and unexpected perceptual events-and they lead to motor slowing and cognitive distraction. While different varieties of unexpected events have been studied largely independently, and many different mechanisms are thought to explain their effects on action and cognition, we suggest a unifying theory. We propose that unexpected events recruit a fronto-basal-ganglia network for stopping...
January 18, 2017: Neuron
Henrik Keränen, Laura Pérez-Benito, Myriam Ciordia, Francisca Delgado, Thomas B Steinbrecher, Daniel Oehlrich, Herman W T Van Vlijmen, Andrés A Trabanco, Gary Tresadern
A series of acylguanidine beta secretase 1 (BACE1) inhibitors with modified scaffold and P3 pocket substituent was synthesized and studied with Free Energy Perturbation (FEP) calculations. The resulting molecules showed potencies in enzymatic BACE1 inhibition assays up to 1 nM. The correlation between the predicted activity from the FEP calculations and the experimental activity was good for the P3 pocket substituents. The average mean unsigned error (MUE) between prediction and experiment was 0.68 ± 0.17 kcal/mol for the default 5 ns lambda window simulation time improving to 0...
January 19, 2017: Journal of Chemical Theory and Computation
Eric Tchouaket, Carl-Ardy Dubois, Danielle D'Amour
AIMS: To assess the economic burden of nurse-sensitive adverse events (NSAEs) in 22 acute care units in Quebec by estimating excess hospital-related costs and calculating resulting additional hospital days. BACKGROUND: Recent changes in the worldwide economic and financial contexts have made the cost of patient safety a topical issue. Yet our knowledge about the economic burden of safety of nursing care is quite limited in Canada in general and Quebec in particular...
January 19, 2017: Journal of Advanced Nursing
Bingqian Wang, Bangzhu Peng
This work aims to investigate the potential of fiber-optic Fourier transform-near-infrared (FT-NIR) spectrometry associated with chemometric analysis, which will be applied to monitor time-related changes in residual sugar and alcohol strength during kiwi wine fermentation. NIR calibration models for residual sugar and alcohol strength during kiwi wine fermentation were established on the FT-NIR spectra of 98 samples scanned in a fiber-optic FT-NIR spectrometer, and partial least squares regression method. The results showed that R(2) and root mean square error of cross-validation could achieve 0...
January 19, 2017: Journal of Food Science
Eun-Hyun Lee, Chun-Ja Kim, Jiyeon Lee, Seung Hei Moon
AIMS: The aims of this study were to identify all available self-administered instruments measuring health literacy in people with diabetes and to determine the current instrument that is the most appropriate for applying to this population in both practice and research. DESIGN: A systematic review of measurement properties. DATA SOURCES: MEDLINE, EMBASE and CINAHL electronic databases from their inception up to 28 March 28 2016. REVIEW METHOD: The methodological quality of each included study was assessed using the COnsensus-based Standards for the selection of health Measurement INstruments checklist...
January 19, 2017: Journal of Advanced Nursing
Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin
In the sparse representation model, the design of overcomplete dictionaries plays a key role for the effectiveness and applicability in different domains. Recent research has produced several dictionary learning approaches, being proven that dictionaries learnt by data examples significantly outperform structured ones, e.g. wavelet transforms. In this context, learning consists in adapting the dictionary atoms to a set of training signals in order to promote a sparse representation that minimizes the reconstruction error...
2017: PloS One
Edward S Lee, Paul G Thomas, Jeff E Mold, Andrew J Yates
Characterisation of the T cell receptors (TCR) involved in immune responses is important for the design of vaccines and immunotherapies for cancer and autoimmune disease. The specificity of the interaction between the TCR heterodimer and its peptide-MHC ligand derives largely from the juxtaposed hypervariable CDR3 regions on the TCRα and TCRβ chains, and obtaining the paired sequences of these regions is a standard for functionally defining the TCR. A brute force approach to identifying the TCRs in a population of T cells is to use high-throughput single-cell sequencing, but currently this process remains costly and risks missing small clones...
January 19, 2017: PLoS Computational Biology
Damien Lefloch, Markus Kluge, Hamed Sarbolandi, Tim Weyrich, Andreas Kolb
Interactive real-time scene acquisition from hand-held depth cameras has recently developed much momentum, enabling applications in ad-hoc object acquisition, augmented reality and other fields. A key challenge to online reconstruction remains error accumulation in the reconstructed camera trajectory, due to drift-inducing instabilities in the range scan alignments of the underlying iterative-closest-point (ICP) algorithm. Various strategies have been proposed to mitigate that drift, including SIFT-based pre-alignment, color-based weighting of ICP pairs, stronger weighting of edge features, and so on...
January 5, 2017: IEEE Transactions on Pattern Analysis and Machine Intelligence
Monica Vasiliu, Kirk A Peterson, David A Dixon
The total atomization energies for BeH and BeH2 have been calculated using the Feller-Peterson-Dixon approach to better than ±1 kcal/mol. The calculations are based on CCSD(T) all electron calculations extrapolated to the complete limit and CCSDT and CCSDTQ corrections are included. A scalar relativistic correction and a diagonal Born-Oppenheimer correction are included. Accurate zero point energies are used. The total atomization energies at 0K are 47.7 kcal/mol for BeH and 140.0 kcal/mol for BeH2 with error bars of at most ±0...
January 19, 2017: Journal of Chemical Theory and Computation
Lara Edbrooke, Linda Denehy, Selina M Parry, Ronan Astin, Sandy Jack, Catherine L Granger
Physical activity (PA) levels are low in patients with lung cancer. Emerging evidence supports the use of interventions to increase PA in this population. We aimed to (1) identify and synthesize outcome measures which assess PA levels in patients with lung cancer and (2) to evaluate, synthesize and compare the psychometric properties of these measures. A systematic review of articles from searches was conducted of five electronic databases and personal records. Eligible studies were those which assessed PA using either performance-based or patient-reported measures...
February 2017: Respirology: Official Journal of the Asian Pacific Society of Respirology
Hao Gong, Hao Yan, Xun Jia, Bin Li, Ge Wang, Guohua Cao
PURPOSE: The schemes of multi-source interior computed tomography (CT) have shown promise for ultra-fast, organ-oriented, and low-dose dynamic imaging. Besides forward scattering, x-ray cross scattering from multiple x-ray sources activated simultaneously can further degrade image quality. Here, we investigate the overall x-ray scattering artifact in a recently proposed multi-source interior CT architecture, and present two methods for scatter correction. METHODS: Compared to single-source global CT, scattering in multi-source interior CT architecture is affected by two new factors: cross scattering from simultaneously activated multiple x-ray sources and region-of-interest (ROI) oriented interior CT mode...
January 2017: Medical Physics
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