scholarly journals An Unsupervised PM2.5 Estimation Method With Different Spatio-Temporal Resolutions Based on KIDW-TCGRU

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 190263-190276
Author(s):  
Canyang Guo ◽  
Genggeng Liu ◽  
Lingjuan Lyu ◽  
Chi-Hua Chen
Keyword(s):  
Estimation Method ◽  
Spatio Temporal

scholarly journals Spatio-Temporal Crime Analysis Using KDE and ARIMA Models in the Indian Context

2020 ◽  
Vol 12 (4) ◽  
pp. 1-19
Author(s):  
Prathap Rudra Boppuru ◽  
Ramesha K.
Keyword(s):  
Data Mining ◽  
Predictive Analytics ◽  
Time Series Prediction ◽  
Arima Model ◽  
Estimation Method ◽  
Time Of Day ◽  
Crime Patterns ◽  
Model Time Series ◽  
Spatio Temporal ◽  
One Year

In developing countries like India, crime plays a detrimental role in economic growth and prosperity. With the increase in delinquencies, law enforcement needs to deploy limited resources optimally to protect citizens. Data mining and predictive analytics provide the best options for the same. This paper examines the news feed data collected from various sources regarding crime in India and Bangalore city. The crimes are then classified on the geographic density and the crime patterns such as time of day to identify and visualize the distribution of national and regional crime such as theft, murder, alcoholism, assault, etc. In total, 68 types of crime-related dictionary keywords are classified into six classes based on the news feed data collected for one year. Kernel density estimation method is used to identify the hotspots of crime. With the help of the ARIMA model, time series prediction is performed on the data. The diversity of crime patterns is visualized in a customizable way with the help of a data mining platform.

Development of Basin-scale PMP Estimation Method by considering Spatio-temporal Characteristics

2016 ◽  
Vol 16 (1) ◽  
pp. 51-61 ◽  
Author(s):  
Youngkyu Kim ◽  
Yeonsu Kim ◽  
Wansik Yu ◽  
Sungryul Oh ◽  
Kwansue Jung
Keyword(s):  
Estimation Method ◽  
Temporal Characteristics ◽  
Basin Scale ◽  
Spatio Temporal

scholarly journals Magnetoencephalography STOUT Method Adapted to Radiofrequency Thermocoagulation for MR-Negative Insular Epilepsy: A Case Report

2021 ◽  
Vol 12 ◽  
Author(s):  
Kaiqiang Ma ◽  
Guoming Luan ◽  
Xiongfei Wang ◽  
Shen Luo ◽  
Lang Qin ◽  
...  
Keyword(s):  
Imaging Modality ◽  
Estimation Method ◽  
Human Society ◽  
Interictal Spikes ◽  
Source Estimation ◽  
Radiofrequency Thermocoagulation ◽  
Patient Reported ◽  
Spatio Temporal ◽  
Drug Resistant Epilepsy ◽  
Deep Sources

Epilepsy is one of the most challenging neurologic diseases confronted by human society. Approximately 30–40% of the worldwide epilepsy patients are diagnosed with drug-resistant epilepsy and require pre-surgery evaluation. Magnetoencephalography (MEG) is a unique technology that provides optimal spatial-temporal resolution and has become a powerful non-invasive imaging modality that can localize the interictal spikes and guide the implantation of intracranial electrodes. Currently, the most widely used MEG source estimation method for clinical applications is equivalent current dipoles (ECD). However, ECD has difficulties in precisely locating deep sources such as insular lobe. In contrast to ECD, another MEG source estimation method named spatio-temporal unifying tomography (STOUT) with spatial sparsity has particular advantages in locating deep sources. In this case study, we recruited a 5 year-old female patient with insular lobe epilepsy and her seizure recurred in 1 year after receiving the radiofrequency thermocoagulation (RF-TC) therapy. The STOUT method was adopted to locate deep sources for identifying the epileptic foci in epilepsy evaluation. MEG STOUT method strongly supported a stereo-electroencephalographic (SEEG)-guided RF-TC operation, and the patient reported a satisfactory therapeutic effect. This case raises the possibility that STOUT method can be used particularly for the localization of deep sources, and successfully conducted RF-TC under the guidance of MEG STOUT results.

scholarly journals H<sub>2</sub><sup>16</sup>O and HDO measurements with IASI/MetOp

2009 ◽  
Vol 9 (2) ◽  
pp. 9267-9290 ◽  
Author(s):  
H. Herbin ◽  
D. Hurtmans ◽  
C. Clerbaux ◽  
L. Clarisse ◽  
P.-F. Coheur
Keyword(s):  
Water Vapour ◽  
Estimation Method ◽  
Optimal Estimation ◽  
Temporal Variations ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Inversion Procedure ◽  
Spatio Temporal ◽  
The Vertical Distribution

Abstract. In this paper we analyze distributions of water vapour isotopologues in the troposphere using infrared spectra recorded by the Infrared Atmospheric Sounding Interferometer (IASI), which operates onboard the Metop satellite in nadir geometry. The simultaneous uncorrelated retrieval of H216O and HDO was performed on radiance measurements using a line-by-line radiative transfer model and an inversion procedure based on the Optimal Estimation Method (OEM). The characterizations of the retrieved products in terms of vertical sensitivity and error budgets show that IASI measurements contain up to 6 independent pieces of information on the vertical distribution of H216O and up to 3.5 for HDO from the surface up to the upper troposphere (0–20 km). The H216O retrieved profiles are in good agreement with local sonde measurements at different latitudes during different times of the year. Our results demonstrate the ability of the IASI instrument to monitor atmospheric isotopologic water vapour distributions with unprecedented sensitivity. As a case study, we analyse concentration distributions and spatio-temporal variations of H216O and HDO during the October 2007 Krosa super-typhoon over South-East Asia and show with this example the IASI potential to capture variations in the HDO/H216O isotopologic ratio values over space and time.

scholarly journals Volitional EMG Estimation Method during Functional Electrical Stimulation by Dual-Channel Surface EMGs

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8015
Author(s):  
Joonyoung Jung ◽  
Dong-Woo Lee ◽  
Yong Ki Son ◽  
Bae Sun Kim ◽  
Hyung Cheol Shin
Keyword(s):  
Electrical Stimulation ◽  
Functional Electrical Stimulation ◽  
Gastrocnemius Muscle ◽  
Estimation Method ◽  
Comb Filter ◽  
Dual Channel ◽  
Channel Surface ◽  
Conventional Methods ◽  
Spatio Temporal ◽  
Healthy Participants

We propose a novel dual-channel electromyography (EMG) spatio-temporal differential (DESTD) method that can estimate volitional electromyography (vEMG) signals during time-varying functional electrical stimulation (FES). The proposed method uses two pairs of EMG signals from the same stimulated muscle to calculate the spatio-temporal difference between the signals. We performed an experimental study with five healthy participants to evaluate the vEMG signal estimation performance of the DESTD method and compare it with that of the conventional comb filter and Gram–Schmidt methods. The normalized root mean square error (NRMSE) values between the semi-simulated raw vEMG signal and vEMG signals which were estimated using the DESTD method and conventional methods, and the two-tailed t-test and analysis of variance were conducted. The results showed that under the stimulation of the gastrocnemius muscle with rapid and dynamically modulated stimulation intensity, the DESTD method had a lower NRMSE compared to the conventional methods (p< 0.01) for all stimulation intensities (maximum 5, 10, 15, and 20 mA). We demonstrated that the DESTD method could be applied to wearable EMG-controlled FES systems because it estimated vEMG signals more effectively compared to the conventional methods under dynamic FES conditions and removed unnecessary FES-induced EMG signals.

scholarly journals H<sub>2</sub><sup>16</sup>O and HDO measurements with IASI/MetOp

2009 ◽  
Vol 9 (24) ◽  
pp. 9433-9447 ◽  
Author(s):  
H. Herbin ◽  
D. Hurtmans ◽  
C. Clerbaux ◽  
L. Clarisse ◽  
P.-F. Coheur
Keyword(s):  
Water Vapour ◽  
Estimation Method ◽  
Optimal Estimation ◽  
Temporal Variations ◽  
Radiative Transfer Model ◽  
Transfer Model ◽  
Upper Troposphere ◽  
Geophysical Interpretation ◽  
Inversion Procedure ◽  
Spatio Temporal

Abstract. In this paper we analyze distributions of water vapour isotopologues in the troposphere using infrared spectra recorded by the Infrared Atmospheric Sounding Interferometer (IASI), which operates onboard the Metop satellite in nadir geometry. The simultaneous uncorrelated retrievals of H216O and HDO are performed on radiance measurements using a line-by-line radiative transfer model and an inversion procedure based on the Optimal Estimation Method (OEM). The characterizations of the retrieved products in terms of vertical sensitivity and error budgets show that IASI measurements contain up to 6 independent pieces of information on the vertical distribution of H216O and up to 3.5 for HDO from the surface up to the upper troposphere (0–20 km). Although the purpose of the paper is not validation, a restricted comparison with sonde measurements shows that the retrieved H216O profiles capture the seasonal/latitudinal variations of the water content, with good accuracy in the lowest layer but with larger uncertainties higher in the free and upper troposphere. Our results then demonstrate the ability of the IASI instrument to monitor atmospheric isotopologic water vapour distributions and to provide information on the partitioning of HDO as compared to H216O. The derivation of the δD is challenging and associated with large errors in the uncorrelated retrieval approach chosen here. As a result averaging on the vertical to produce a column-averaged δD is required to produce meaningful results for geophysical interpretation. As a case study, we analyse concentration distributions and spatio-temporal variations of H216O and δD during the October 2007 Krosa super-typhoon over South-East Asia. We show that individual δD have uncertainties of 37‰ for the vertically averaged values. Using the latter, we suggest that the typhoon produces a so-called amount-effect, where the δD is negatively correlated to the water amounts as a result of intense depletion of the deuterated species.

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