A novel approach to extract significant time intervals of vehicles from superhighway Gantry Timestamp sequences

2017 ◽  
Author(s):  
Jing-Doo Wang ◽  
Ming-Chorng Hwang
Keyword(s):  
Time Intervals ◽  
Significant Time ◽  
Novel Approach

scholarly journals Uncertainty quantification of the effects of biotic interactions on community dynamics from nonlinear time-series data

2018 ◽  
Vol 15 (147) ◽  
pp. 20180695 ◽  
Author(s):  
Simone Cenci ◽  
Serguei Saavedra
Keyword(s):  
Time Series ◽  
Community Dynamics ◽  
Time Series Data ◽  
Multivariate Time Series ◽  
Model Averaging ◽  
Biotic Interactions ◽  
Series Data ◽  
Time Intervals ◽  
Novel Approach ◽  
Data Generating Process

Biotic interactions are expected to play a major role in shaping the dynamics of ecological systems. Yet, quantifying the effects of biotic interactions has been challenging due to a lack of appropriate methods to extract accurate measurements of interaction parameters from experimental data. One of the main limitations of existing methods is that the parameters inferred from noisy, sparsely sampled, nonlinear data are seldom uniquely identifiable. That is, many different parameters can be compatible with the same dataset and can generalize to independent data equally well. Hence, it is difficult to justify conclusive assertions about the effect of biotic interactions without information about their associated uncertainty. Here, we develop an ensemble method based on model averaging to quantify the uncertainty associated with the effect of biotic interactions on community dynamics from non-equilibrium ecological time-series data. Our method is able to detect the most informative time intervals for each biotic interaction within a multivariate time series and can be easily adapted to different regression schemes. Overall, this novel approach can be used to associate a time-dependent uncertainty with the effect of biotic interactions. Moreover, because we quantify uncertainty with minimal assumptions about the data-generating process, our approach can be applied to any data for which interactions among variables strongly affect the overall dynamics of the system.

scholarly journals Automatic Detection of the Pharyngeal Phase in Raw Videos for the Videofluoroscopic Swallowing Study Using Efficient Data Collection and 3D Convolutional Networks †

Sensors ◽  
2019 ◽  
Vol 19 (18) ◽  
pp. 3873 ◽  
Author(s):  
Jong Taek Lee ◽  
Eunhee Park ◽  
Tae-Du Jung
Keyword(s):  
Network Architecture ◽  
Training Data ◽  
Time Intervals ◽  
Convolutional Network ◽  
Videofluoroscopic Swallowing Study ◽  
Convolutional Networks ◽  
Pharyngeal Phase ◽  
Manual Search ◽  
Novel Approach ◽  
Efficient Data

Videofluoroscopic swallowing study (VFSS) is a standard diagnostic tool for dysphagia. To detect the presence of aspiration during a swallow, a manual search is commonly used to mark the time intervals of the pharyngeal phase on the corresponding VFSS image. In this study, we present a novel approach that uses 3D convolutional networks to detect the pharyngeal phase in raw VFSS videos without manual annotations. For efficient collection of training data, we propose a cascade framework which no longer requires time intervals of the swallowing process nor the manual marking of anatomical positions for detection. For video classification, we applied the inflated 3D convolutional network (I3D), one of the state-of-the-art network for action classification, as a baseline architecture. We also present a modified 3D convolutional network architecture that is derived from the baseline I3D architecture. The classification and detection performance of these two architectures were evaluated for comparison. The experimental results show that the proposed model outperformed the baseline I3D model in the condition where both models are trained with random weights. We conclude that the proposed method greatly reduces the examination time of the VFSS images with a low miss rate.

Novel approach for a precise determination of short-time intervals in ankle sprain experiments

2009 ◽  
Vol 42 (16) ◽  
pp. 2823-2825 ◽  
Author(s):  
Syn Schmitt ◽  
Mark Melnyk ◽  
Wilfried Alt ◽  
Albert Gollhofer
Keyword(s):  
Ankle Sprain ◽  
Precise Determination ◽  
Time Intervals ◽  
Novel Approach ◽  
Short Time

Headache and Mood: A Time-Series Analysis of Self-Ratings

Cephalalgia ◽  
1984 ◽  
Vol 4 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Jan Dalkvist ◽  
Karl Ekbom ◽  
Elisabet Waldenlind
Keyword(s):  
Time Series ◽  
Time Series Analysis ◽  
Muscle Contraction ◽  
Time Lag ◽  
Biological Rhythms ◽  
Time Dependent ◽  
Time Intervals ◽  
Independent Variables ◽  
Significant Time ◽  
Dependent Relation

Self-ratings with respect to headache and five mood dimensions were obtained twice daily from five patients suffering from migraine and six patients suffering from muscle-contraction headache during a mean period of 47.9 days (range: 38–61). The data were analysed by multiple regression, with the rated headache as dependent variable. Different time intervals between measurement of the independent variables and measurement of the dependent variable were used. A significant time-dependent relation was found between the migraine ratings and the alertness ratings. Significant time-dependent relations were also found between rated muscle-contraction headache and rated anger and alertness, respectively, but the trends were not very pronounced. In the case of no time lag, rated muscle-contraction headache tended to be negatively related to rated alertness, happiness and concentration. Significant periodic trends were found for both the migraine and the muscle-contraction headache. The major findings are discussed in terms of stress and biological rhythms.

scholarly journals A minimization problem for the sum of weighted convolutions’ difference and a novel approach to the inverse problem of ECG- and PPG-signals recovering

2021 ◽  
Vol 2092 (1) ◽  
pp. 012007
Author(s):  
A Kel’manov ◽  
S Khamidullin ◽  
L Mikhailova ◽  
P Ruzankin
Keyword(s):  
Inverse Problem ◽  
Inverse Problems ◽  
Polynomial Time ◽  
Minimization Problem ◽  
Pulse Train ◽  
Time Intervals ◽  
Reference Shape ◽  
Novel Approach ◽  
Electrocardiogram Ecg ◽  
Quasiperiodic Signal

Abstract In this paper, we consider an unstudied problem of approximation of an observed pulse train by by a quasiperiodic signal generated by a pulse with a given pattern (reference) shape. The quasiperiodicity allows variation of time intervals between repetitions of the pattern pulse, as well as nonlinear expansions of the pattern in time. Such inverse problems are common in electrocardiogram (ECG) and photoplethysmogram (PPG) features extraction. The following two variants of the problem are considered. In the first variant, the number of the pulse repetitions is unknown, while in the second one, that number is given. The polynomial-time solvability of the both variants of the problem is constructively proved.

Significance of formed adherent complex by use of phosphorylated polyphenol coating

2017 ◽  
Vol 46 (3) ◽  
pp. 226-234
Author(s):  
Rachna Jain ◽  
Manish Kumar Bhadu ◽  
Keshave Swarnkar ◽  
Sumitesh Das
Keyword(s):  
Tap Water ◽  
Time Interval ◽  
Dihydrogen Phosphate ◽  
X Ray Diffraction ◽  
Time Intervals ◽  
Content Type ◽  
Novel Approach ◽  
Ft Ir ◽  
Electrochemical Polarisation

Purpose The purpose of this paper is to report on the use of phosphorylated polyphenol (PP)-coated galvanised iron (GI) surface to study the degradation of coating with different time intervals and long-term exposure in different salty media. Design/methodology/approach The as-obtained PP complex on GI was evident by X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FT-IR), energy dispersive spectroscopy (EDS) and scanning electron microscopy (SEM). The coated coupons were exposed to different salty media such as 3.5 per cent NaCl, 1.5 per cent Na2SO4 and tap water at set time intervals. Electrochemical polarisation was performed to study the anodic and cathodic polarisation behaviour at each time interval. Findings The adherent foliolate nanopattern of iron zinc phosphate and zinc dihydrogen phosphate on GI surface was evident by SEM, FT-IR, EDS and XRD. The coated coupons exhibited good corrosion resistance. This coating performs as an alternative to time-consuming multistep operations of phosphating treatment. Originality/value The mode of the experiment treatment using modified PP coating especially on GI in different corrosive exposures at set time intervals is a novel approach in this research.

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