Geoid undulation prediction using Gaussian Processes Regression: A case study in a local region in Turkey

Truck platooning involves a small convoy of freight vehicles using electronic coupling as an application in automated driving technology, and it is expected to represent a major solution for improving efficiency in truck transportation in the near future. Recently, there have been several trials regarding truck platooning with major truck manufacturers and logistics companies on public roads in the United States, European countries and Japan. There is a need to locate a facility for the formation of truck platooning to realize the unmanned operation of trucks following in a platoon. In this study, we introduce the current status of truck platooning in Japan and present the optimal location model for truck platooning using the continuous approximation model with a numerical experiment, considering the case in Japan. We derived the optimal locational strategy for the combination of the long-haul ratio and the cost factor of platooning. With parameters estimated for several scenarios for the deployment of truck platooning in Japan, the numerical results show that the optimal locational strategy for a platoon of manned vehicles and a platoon with unmanned following vehicles is the edge of the local region, and that for a platoon of fully automated vehicles is the center of the region.

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Hierarchical Gaussian Processes and Mixtures of Experts to Model COVID-19 Patient Trajectories

10.1101/2021.10.01.462821 ◽

2021 ◽

Author(s):

Sunny Cui ◽

Elizabeth Yoo ◽

Didong Li ◽

Krzysztof Laudanski ◽

Barbara Engelhardt

Keyword(s):

Gaussian Processes ◽

Large Scale ◽

Predictive Performance ◽

Study Patient ◽

Nonparametric Model ◽

Clinical Markers ◽

Spatiotemporal Models ◽

Time Systems ◽

Gp Model

Gaussian processes (GPs) are a versatile nonparametric model for nonlinear regression and have been widely used to study spatiotemporal phenomena. However, standard GPs offer limited interpretability and generalizability for datasets with naturally occurring hierarchies. With large-scale, rapidly-updating electronic health record (EHR) data, we want to study patient trajectories across diverse patient cohorts while preserving patient subgroup structure. In this work, we partition our cohort of over 2000 COVID-19 patients by sex and ethnicity. We develop and apply a hierarchical Gaussian process and a mixture of experts (MOE) hierarchical GP model to fit patient trajectories on clinical markers of disease progression. A case study for albumin, an effective predictor of COVID-19 patient outcomes, highlights the predictive performance of these models. These hierarchical spatiotemporal models of EHR data bring us a step closer toward our goal of building flexible approaches to capture patient data that can be used in real-time systems.

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Phenomenological forecasting of disease incidence using heteroskedastic Gaussian processes: A dengue case study

The Annals of Applied Statistics ◽

10.1214/17-aoas1090 ◽

2018 ◽

Vol 12 (1) ◽

pp. 27-66 ◽

Cited By ~ 11

Author(s):

Leah R. Johnson ◽

Robert B. Gramacy ◽

Jeremy Cohen ◽

Erin Mordecai ◽

Courtney Murdock ◽

...

Keyword(s):

Gaussian Processes ◽

Disease Incidence ◽

Dengue Case

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Sundanese�s children naming tradition: A descriptive case study of language maintenance and shift in Bandung

EduLite Journal of English Education Literature and Culture ◽

10.30659/e.6.1.189-197 ◽

2021 ◽

Vol 6 (1) ◽

pp. 189

Author(s):

Rudi Suherman

Keyword(s):

Language Maintenance ◽

Current Trend ◽

Structured Interview ◽

Ethnic Background ◽

Local Region ◽

Capital City ◽

West Java ◽

Descriptive Case Study ◽

Language Maintenance And Shift

A name given to someone may represent his ethnic background. Therefore, it is likely used by most people in recognizing where someone comes from. This study is aimed at examining the possible correlation between children�s name given by their Sundanese parents with their ethnic background in maintaining the Sundanese language in local region in Bandung, the Capital city of West java. 17 Sundanese family are involved in this descriptive case study. Both parents, representing by 17 fathers and 17 mothers, originally come from different region in west java province and have resided in Bandung for more than a decade. The data, embracing the characteristic of survey, are gained from a set of questionnaires and semi -structured interview consisting of questions related to family�s background, the name given, as well as the reason that drives them giving the names. This study has revealed the current trend on naming tradition in Bandung in which there is a shift from Sundanese, to other language particularly Arabic. This may be happened because most of the participants in this study are Muslims. Hence, Arabic as the language of Islam predominantly influence the naming tradition in Sundanese family.

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Geoid undulation modeling through the Cokriging method–A case study of Guayaquil, Ecuador

Geodesy and Geodynamics ◽

10.1016/j.geog.2021.04.004 ◽

2021 ◽

Author(s):

Iván Palacios Orejuela ◽

César Leiva González ◽

Xavier Buenaño Guerra ◽

Elena Chicaiza Mora ◽

Theofilos Toulkeridis

Keyword(s):

Geoid Undulation

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Validation of the GPS leveling method through the gradient analysis of the geoidal wave. Case study of Ecuador

REVISTA GEOGRÁFICA VENEZOLANA ◽

10.53766/rgv/2021.62.02.02 ◽

2021 ◽

Vol 62 (2) ◽

pp. 316-329

Author(s):

Dennys Enríquez ◽

César Leiva ◽

Santiago Cárdenas ◽

José Carrión ◽

Theofilos Toulkeridis

Keyword(s):

Geoid Undulation ◽

Geopotential Model ◽

Geoidal Undulation ◽

Vertical Control ◽

Gnss Positioning ◽

Positioning Technique ◽

Gps Leveling ◽

Geoid Undulations ◽

Gnss Observations

We validated the GPS leveling as an alternative to the traditional geometric leveling method. Validation compares the geometric slopes derived from the GNSS positioning technique, heights resulting from geometric leveling campaigns and geoid undulations extracted from the Global Geopotential Model EGM08. This analysis was performed in the Ecuadorian mainland, where we identified areas in which the gradient of the geoidal undulation is less pronounced. The spatialization of the gradient or variation-based methods allowed to analyze the performance of the GPS leveling method, under the hypothesis that less variability in geoid undulation implies less discrepancies in the GPS unevenness. GNSS observations were determined on the leveling plates belonging to the Basic Vertical Control Network. The results of the study are given based on the relative error resulting from the comparison of the traditional differential leveling method with the corresponding values obtained from the GNSS positioning, considering different distances for the spread of unevenness.

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Validation of the GPS leveling method through the gradient analysis of the geoidal wave. Case study of Ecuador.

REVISTA GEOGRÁFICA VENEZOLANA ◽

10.53766/rgv/2021.62.2.02 ◽

2021 ◽

Vol 62 (2) ◽

pp. 316-329

Author(s):

Dennys Enríquez ◽

César Leiva ◽

Santiago Cárdenas ◽

José Carrión ◽

Theofilos Toulkeridis

Keyword(s):

Geoid Undulation ◽

Geopotential Model ◽

Geoidal Undulation ◽

Vertical Control ◽

Gnss Positioning ◽

Positioning Technique ◽

Gps Leveling ◽

Geoid Undulations ◽

Gnss Observations

We validated the GPS leveling as an alternative to the traditional geometric leveling method. Validation compares the geometric slopes derived from the GNSS positioning technique, heights resulting from geometric leveling campaigns and geoid undulations extracted from the Global Geopotential Model EGM08. This analysis was performed in the Ecuadorian mainland, where we identified areas in which the gradient of the geoidal undulation is less pronounced. The spatialization of the gradient or variation-based methods allowed to analyze the performance of the GPS leveling method, under the hypothesis that less variability in geoid undulation implies less discrepancies in the GPS unevenness. GNSS observations were determined on the leveling plates belonging to the Basic Vertical Control Network. The results of the study are given based on the relative error resulting from the comparison of the traditional differential leveling method with the corresponding values obtained from the GNSS positioning, considering different distances for the spread of unevenness.

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