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Assessing the Skills of Rossby Centre Regional Climate Model in Simulating observed Rainfall over Rwanda

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A Proof of the Non-Singularity of the <i>D</i>Matrix Used in Deriving the Two—Step Butcher’s Hybrid Scheme for the Solution of Initial Value Problems

Atmospheric and Climate Sciences（大气和气候科学） 2021年第3期

作者： Janet Umuhoza Lin Chen lucia Mumo

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Journal of Applied Mathematics and Physics 2021年第12期9卷 3177-3201页

作者： R. o. Akinola K. J. Ajibade Department of Mathematics Faculty of Natural Sciences University of Jos Jos Nigeria Department of Mathematics and Statistics Concordia University Montreal Canada

In this paper, we state and prove the conditions for the non-singularity of the D matrix used in deriving the continuous form of the Two-step Butcher’s hybrid scheme and from it the discrete forms are deduced. We also show that the discrete scheme gives outstanding results for the solution of stiff and non-stiff initial value problems than the 5th order Butcher’s algorithm in predictor-corrector form.

关键词： Linear Multistep Methods Non-Singularity Interpolation and Collocation

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政治经济学

政治经济学

作者： o.R.·兰格(o.R. Langer)

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浮标工程

浮标工程

LEARNING FRoM THE PAST: LooKING ToWARDS THE FUTURE FoR TERTIARY CHEMISTRY IN AUSTRALIA

作者： H.o.·贝托(H.o. Berteaux)

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化学教育 2002年第12期23卷 34-36,40页

作者： John o. Hill Roger T. Cross La Trobe University Melbourne Australia and University of MelbourneLa Trobe University Melbourne Australia and University of Melbourne Melbourne AustraliaMelbourne Australia

SummaryThe theme of 17 ICCE is that the new century offers new challenges, new opportunities and new hopes for chemical education. These aspirations are certainly critical for chemical education in Australia, particul... 详细信息

关键词：化学教育 IUPAC 国际化学教育大会学校教育

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纳粹元帅沉浮记

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Development of Empirical Models for the Estimation of CBR Value of Soil from Their Index Properties: A Case Study of the ogbia-Nembe Road in Niger Delta Region of Nigeria

作者： o.E.·莫勒(o.E. Moll)

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open Journal of Civil Engineering 2022年第4期12卷 648-664页

作者： Jonathan o. Irokwe Ify L. Nwaogazie Samuel Sule Department of Civil and Environmental Engineering University of Port Harcourt Port Harcourt Rivers State Nigeria

This study developed empirical-mathematical models to predict the California Bearing Ratio (CBR) using soil index properties in ogbia-Nembe road in the Niger Delta region of Nigeria. The determination of CBR of soil is a laborious operation that requires a longer time and materials leading to increased cost and schedule;this can be reduced by adopting an empirical-mathematical model that can predict the CBR using other simpler soil index properties such as Plastic Limit (PL), the Liquid Limit (LL), the Plasticity Index (PI) and the Moisture Content (MC), which are less laborious and take lesser time to obtain. Thirteen models were developed to understand the relationship between these soil index properties: the independent variable and the California Bearing Ratio (CBR): the dependent variable;Six linear, Six quadratic and one multiple linear regression models were developed for this relationship. Analysis of variance (ANoVA) on the thirteen models showed that the optimum Moisture Content (oMC) and the Maximum Dry Density (MDD) are better independent variables for the prediction of the CBR value of ogbia-Nembe soil generating a quadratic model and a multiple linear regression model having a better coefficient of determination R2 = 0.96 and 0.94 respectively, mean square error (MSE) of 0.74 and 1.152 respectively with Root mean square errors of 0.861 and 1.073 accordingly. These models were used to predict the CBR of the soil. The CBR values predicted by the model were further compared with those of the actual experimental test and found to be relatively consistent with minimal variance. This establishes that CBR of any soil can be predicted from the Index Property of the soil and this is more economical and takes lesser time and can be universally adopted for soil investigation.

关键词： Multiple Regression Model Soil Index Properties Analysis of Variance California Bearing Ratio Coefficient of Determination

4TQS: Four Tiers oVER Quality of Sensing with Energy Improvement in Wireless Sensor Network

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International Journal of Communications, Network and System Sciences 2021年第7期14卷 95-118页

作者： Luis orlando Philco Asqui Néstor A. Zamora Cedeño Faculty of Technical Education for Development Catholic University Santiago de Guayaquil Guayaquil Ecuador

This paper presents four algorithms for QoSensing (4TQS) and routing on dynamics Wireless Sensor Networks. Since many types of researches held on QoSensing improvement in terms of coverage and connectivity enhancement. In a WSN with a density of 120 static and 30 mobile nodes, the major power-consuming activities are mobility and communication. Such power constraint has a great effect on the node activities and the same network. We analyzed the occurrence of coverage holes which is, regions inside the area of interest that are void of operational nodes for sensing and/or routing purposes. 4TQS method shows clustering phase through neuro-fuzzy based affinity propagation NFAP, sleep scheduling phase with ESLS algorithm and the assist of coverage enhancement phase in which HAHP is involved. Routing phase and connectivity metrics are improved with DTMR algorithm. Involvement of four efficient algorithms results in improved QoSensing in WSN. We analyzed our proposed method in both Star and Mesh topology in order to evaluate the QoSensing metrics in both topologies. our method shows promising results in QoSensing metrics or performance in dynamics WSNs.

关键词： QoSensing 4Tiers Metrics Coverage Connectivity