Results 61 to 70 of about 14,433 (200)

Rising Tides, Falling Harvests: Examining the Effects of Salinity Intrusion on Paddy Production in Vietnam's Mekong Delta

Journal of Agricultural Economics, EarlyView.
ABSTRACT Rising sea levels and salinity intrusion increasingly threaten rice farming in Vietnam's Mekong Delta. Using a district‐level panel dataset from 2000 to 2020, this study examines the impacts of salinity on Winter–Spring rice yields and acreage and how farmers adapt to salinity risk.
Huong Nguyen, Bradford Mills, Chi Ta, Shamar L. Stewart   +3 more
wiley   +1 more source

The probabilistic modeling and reliability analysis of brake shoes for hoist disc brake with correlated failure modes

Advances in Mechanical Engineering, 2020
In view of the lack of reliability research with correlated failure modes of the hoist disk shoes, the stochastic finite element method was used to analyze the reliability of multi-failure mode under emergency braking condition of disk shoe for deep well
Fengbin Ren, Guoan Chen, Hao Lu, Shuang Cao   +3 more
doaj   +1 more source

A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators [PDF]

, 2014
To increase the dependability of complex systems, one solution is to assess their state of health continuously through the monitoring of variables sensitive to potential degradation modes. When computed in an operating environment, these variables, known
LAMOUREUX, Benjamin, MASSÉ, Jean-Rémi, MECHBAL, Nazih   +2 more
core   +6 more sources

The kriging update model and recursive space-time function estimation [PDF]

IEEE Transactions on Signal Processing, 1999
Summary: We present a method for efficiently fitting a time series of spatial functions to observed data. The method is closely related to kriging, which is an interpolation method based on a stochastic data model. While kriging is effective and versatile for estimating individual functions from observed data, it must be extended to incorporate ...
William S. Kerwin, Jerry L. Prince
openaire   +2 more sources

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, EarlyView.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

On Spatial Point Processes With Composition‐Valued Marks

International Statistical Review, EarlyView.
Summary Methods for marked spatial point processes with scalar marks have seen extensive development in recent years. While the impressive progress in data collection and storage capacities has yielded an immense increase in spatial point process data with highly challenging non‐scalar marks, methods for their analysis are not equally well developed ...
Matthias Eckardt, Mari Myllymäki, Sonja Greven   +2 more
wiley   +1 more source

Refined Urban Functional Zones Identification via Empirical Bayesian Kriging: A POI-Weighted Scoring Innovation

IEEE Access
The refined identification of Urban Functional Zones (UFZs) is crucial for effective urban planning, resource allocation, and environmental monitoring. However, achieving high precision and comprehensive identification of UFZs has been challenging.
Xuan Du, Yisha Pan, Xiaoyan Yang, Longgao Chen, Liangchen Liu, Ying Lin   +5 more
doaj   +1 more source

Wing planform dependency on optimum supersonic airfoil

Nihon Kikai Gakkai ronbunshu, 2017
When a wing of airplane is designed, it is necessary to have knowledge regarding planforms considered their optimum airfoils in order to design efficiently, because each wing planform has both of advantage and disadvantage. In this study, the wing design
Yuki KISHI, Masahiro KANAZAKI, Yoshikazu MAKINO, Kisa MATSUSHIMA   +3 more
doaj   +1 more source

Anti‐Astrotropik — Outer Space, Technology and Resistance in the Tropics

Singapore Journal of Tropical Geography, EarlyView.
This paper traces an intellectual and geographical arc of thinking about outer space in the tropics, connecting Peter Redfield's Space in the Tropics: From Convicts to Rockets in French Guiana (2000), Sean T. Mitchell's Constellations of Inequality: Space, Race, and Utopia in Brazil (2017) and Asif Siddiqi's Cosmic Fragments: Dislocation and Discontent
Rob Krawczyk
wiley   +1 more source

STOCHASTIC FINITE ELEMENT MODEL UPDATING BASED ON POLYNOMIAL CHAOTIC EXPANSION AND KL DIVERGENCE

Jixie qiangdu, 2021
Considering the influence of structural parameter uncertainty on response and the problem of large calculation of stochastic model updating, a stochastic finite element model updating method based on polynomial chaotic expansion and KL divergence is ...
XU ZeWei, PENG ZhenRui, ZHANG YaFeng, BAI Yu   +3 more
doaj