M2STaR: A Multimode Spatio-Temporal Redundancy Design for Fault-Tolerant Coarse-Grained Reconfigurable Architectures

Kong, Xiangyu; Zhu, Jianfeng; Man, Xingchen; Song, Guihuan; Huang, Yi; Deng, Chenchen; Gou, Pengfei; Yin, Shouyi; Wei, Shaojun; Liu, Leibo

doi:10.1109/tcad.2023.3239563

Cited by 6 publications

(1 citation statement)

References 39 publications

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“…Dynamic spatio-temporal models address the limitations of traditional static modeling techniques 11 , 16 – 19 by accounting for the spatio temporal interaction dynamic evolution of components in modeling an outcome. The research scope encompasses various dimensions, including countries 16 , 20 , ecosystems 21 , climate 20 , Coarse-grained reconfigurable architectures 22 , modeling infectious diseases 23 , transportation 24 and more. However, despite numerous evaluation studies, scant attention has been given to food security, particularly in the context of Africa.…”

Section: Introductionmentioning

confidence: 99%

A bayesian spatio-temporal dynamic analysis of food security in Africa

Bofa,

Zewotir

2024

Sci Rep

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Exploring the factors influencing Food Security and Nutrition (FSN) and understanding its dynamics is crucial for planning and management. This understanding plays a pivotal role in supporting Africa's food security efforts to achieve various Sustainable Development Goals (SDGs). Utilizing Principal Component Analysis (PCA) on data from the FAO website, spanning from 2000 to 2019, informative components are derived for dynamic spatio-temporal modeling of Africa’s FSN Given the dynamic and evolving nature of the factors impacting FSN, despite numerous efforts to understand and mitigate food insecurity, existing models often fail to capture this dynamic nature. This study employs a Bayesian dynamic spatio-temporal approach to explore the interconnected dynamics of food security and its components in Africa. The results reveal a consistent pattern of elevated FSN levels, showcasing notable stability in the initial and middle-to-late stages, followed by a significant acceleration in the late stage of the study period. The Democratic Republic of Congo and Ethiopia exhibited particularly noteworthy high levels of FSN dynamicity. In particular, child care factors and undernourishment factors showed significant dynamicity on FSN. This insight suggests establishing regional task forces or forums for coordinated responses to FSN challenges based on dynamicity patterns to prevent or mitigate the impact of potential food security crises.

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