检索结果-内蒙古大学图书馆

三元混合纳米流体(TiO_(2)-SiO_(2)-MoS_(2)/煤油)流过旋转圆盘时的二次热辐射和Cattaneo-Christov模型

Journal of Central South University 2023年第4期30卷 1262-1278页

作者： SINGH Shiv Pratap KUMAR Manoj YASEEN Moh RAWAT Sawan Kumar Department of Mathematics Statistics and Computer ScienceGovind Ballabh Pant University of Agriculture and TechnologyPantnagar 263145UttarakhandIndia Department of Applied Science Meerut Institute of Engineering and TechnologyMeerut 250005Uttar PradeshIndia Department of Mathematics Graphic Era(Deemed to be University)Dehradun 248002UttarakhandIndia

本文研究了Cattaneo-Christov模型(C-C模型)和对流边界条件下的二次热辐射对三元混合纳米流体(TiO_(2)-SiO_(2)-MoS_(2)/煤油)流过旋转圆盘过程的影响,并研究了Darcy-Forchheimer多孔介质和吸入/注射的影响。比较分析了三元混合纳米流体... 详细信息

本文研究了Cattaneo-Christov模型(C-C模型)和对流边界条件下的二次热辐射对三元混合纳米流体(TiO_(2)-SiO_(2)-MoS_(2)/煤油)流过旋转圆盘过程的影响,并研究了Darcy-Forchheimer多孔介质和吸入/注射的影响。比较分析了三元混合纳米流体(TiO_(2)-SiO_(2)-MoS_(2)/煤油)与混合纳米流体(TiO2-SiO2/煤油)。通过von Karman转换将偏微分方程集合转变为常微分方程,并通过MATLAB中的bvp4c函数对其求解。图表结果反映了径向、切向速度和传热速度的变化。讨论了各种参数的影响,包括磁场、Forchheimer数、孔隙率参数、滑移参数、辐射参数、热弛豫、混合对流、吸入/注射、Biot数、发热/热吸收、体积分数。发现较高的辐射值和热弛豫参数可以提高传热速率。本研究将对使用纳米流体的学科领域具有一定的参考价值,如运输过程、旋转的机械系统、协同旋转的涡轮系统、增强型油回收系统、医疗等。

关键词：三元混合纳米流体 Darcy-Forchheimer 多孔介质混合对流吸入/注射二次热辐射发热/吸收滑移效应

来源：评论

学校读者我要写书评

暂无评论

Toward Sustainable Development Goals (SDGs) with Statistical Modeling: Recursive Bivariate Binary Probit

引用

IAENG International Journal of Applied mathematics 2024年第8期54卷 1515-1521页

作者： Ratnasari, Vita Utama, Syirrul Hadi Dani, Andrea Tri Rian Faculty of Science and Data Analytics Institut Teknologi Sepuluh Nopember Surabaya Indonesia the Department of Statistics Faculty of Science and Data Analytics Sepuluh Nopember Institute of Technology Surabaya Indonesia Statistics Study Program Department of Mathematics Faculty of Mathematics and Natural Sciences Mulawarman University Samarinda Indonesia

Poverty is still a global problem that must be immediately eradicated by Sustainable Development Goals (SDGs) 1, namely ending poverty anywhere and in any form. In 2021, West Papua province will have the 2nd most significant percentage of poor people after Papua province, with 21.84% of the poor population. Poor households in West Papua province are dominated by families, with the Head of Household (KRT) working in the agricultural sector at 65.10 %. In this research, joint modelling was carried out between the level of household welfare and the employment sector of the head of the household in the West Papua province. It is suspected that these two variables have endogeneity problems, where one of the response variables becomes a predictor variable in the other equation, so a recursive bivariate binary probit regression model is used. Recursive bivariate binary probit regression parameter estimation uses Maximum Likelihood Estimation (MLE), but the results are not closed form, so it is continued using the Newton-Raphson iteration method. The results of hypothesis testing show that partially, variables that significantly influence the level of household welfare include the variable marital status, KRT formal/informal workers, health complaints, asset ownership status, migration status, number of household members, classification of area of residence (Village/City), age of head of household, and employment sector of head of household. Meanwhile, variables that significantly influence the choice of working in the agricultural sector include the director of household education, classification of area of residence (rural/city), and the age of the head of household. © (2024), (International Association of Engineers). All rights reserved.

关键词： Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

Autism Spectrum Disorder Prediction by an Explainable Deep Learning Approach

引用

Computers, Materials & Continua 2022年第4期71卷 1459-1471页

作者： Anupam Garg Anshu Parashar Dipto Barman Sahil Jain Divya Singhal Mehedi Masud Mohamed Abouhawwash Computer Science and Engineering Department Thapar Institute of Engineering and TechnologyPatialaIndia School of Computer Science and Statistics Trinity College DublinDublinIreland University Institute of Biotechnology Chandigarh UniversityMohaliIndia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

Autism Spectrum Disorder (ASD) is a developmental disorderwhose symptoms become noticeable in early years of the age though it canbe present in any age group. ASD is a mental disorder which affects the communicational, social and non-verbal behaviors. It cannot be cured completelybut can be reduced if detected early. An early diagnosis is hampered by thevariation and severity of ASD symptoms as well as having symptoms commonly seen in other mental disorders as well. Nowadays, with the emergenceof deep learning approaches in various fields, medical experts can be assistedin early diagnosis of ASD. It is very difficult for a practitioner to identifyand concentrate on the major feature’s leading to the accurate prediction ofthe ASD and this arises the need for having an automated approach. Also,presence of different symptoms of ASD traits amongst toddlers directs tothe creation of a large feature dataset. In this study, we propose a hybridapproach comprising of both, deep learning and Explainable Artificial Intelligence (XAI) to find the most contributing features for the early and preciseprediction of ASD. The proposed framework gives more accurate predictionalong with the recommendations of predicted results which will be a vital aidclinically for better and early prediction of ASD traits amongst toddlers.

关键词： Deep learning explainable artificial intelligence autism spectrum disorder machine learning

来源：评论

学校读者我要写书评

暂无评论

A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts 41

A General Theory for Softmax Gating Multinomial Logistic Mix...

引用

41st International Conference on Machine Learning, ICML 2024

作者： Nguyen, Huy Akbarian, Pedram Nguyen, TrungTin Ho, Nhat Department of Statistics and Data Sciences United States Department of Electrical and Computer Engineering The University of Texas Austin United States School of Mathematics and Physics The University of Queensland Australia Univ. Grenoble Alpes Inria CNRS Grenoble INP LJK France

Mixture-of-experts (MoE) model incorporates the power of multiple submodels via gating functions to achieve greater performance in numerous regression and classification applications. From a theoretical perspective, while there have been previous attempts to comprehend the behavior of that model under the regression settings through the convergence analysis of maximum likelihood estimation in the Gaussian MoE model, such analysis under the setting of a classification problem has remained missing in the literature. We close this gap by establishing the convergence rates of density estimation and parameter estimation in the softmax gating multinomial logistic MoE model. Notably, when part of the expert parameters vanish, these rates are shown to be slower than polynomial rates owing to an inherent interaction between the softmax gating and expert functions via partial differential equations. To address this issue, we propose using a novel class of modified softmax gating functions which transform the input before delivering them to the gating functions. As a result, the previous interaction disappears and the parameter estimation rates are significantly improved. Copyright 2024 by the author(s)

关键词： Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

Stochastic modeling and performance optimization of sludge digestion processing system using genetic algorithm

引用

International Journal of Information Technology (Singapore) 2022年第7期14卷 3391-3400页

作者： Kumar, Ashish Goyal, Drishty Sinwar, Deepak Saini, Monika Department of Mathematics & Statistics Manipal University Jaipur Rajasthan Jaipur 303007 India Department of Computer and Communication Engineering Manipal University Jaipur Jaipur-303007 Rajasthan India

The main objective of present study is to propose a novel stochastic model for performance optimization of sludge digestion processing system (SDPS). A SDPS is critical subsystem of sewage treatment plant configured using six subsystems. All the six subsystems are configured in series. The concept of parallel redundancy, cold standby redundancy, perfect repairs, and sufficient repair facilities used in the development of the model. Markov modeling is employed to develop the mathematical model of SDPS and set of Chapman–Kolmogorov is derived. The failure and repair rates followed the exponential distribution. To optimize the performance of the SDPS, population based heuristic approach genetic algorithm (GA) is adopted with uniform genetic operators. The experimental data is collected with the help of plant personals. The numerical and graphical results for various reliability measures of SDPS also derived to highlight the importance of the study. © 2022, The Author(s), under exclusive licence to Bharati Vidyapeeth's Institute of Computer Applications and Management.

关键词： Availability Genetic algorithm Markov modeling Mutation Population

来源：评论

学校读者我要写书评

暂无评论

Dynamic Spatial Durbin Modeling (Case: Percentage of Poor Population in Indonesia 2010-2019)

Dynamic Spatial Durbin Modeling (Case: Percentage of Poor Po...

引用

International Conference on mathematics, statistics and Data Science 2020, ICMSDS 2020

作者： Sunandi, E. Sumertajaya, I.M. Djuraidah, A. Wigena, A.H. Fitrianto, A. Statistics Program Department of Mathematics Bengkulu University Bengkulu Indonesia Department of Statistics IPB University Bogor Indonesia

The dynamic panel model assumes that each observation unit is independent of each other. But sometimes this assumption is violated, so there are spatial effects in the model. This study aimed to make percentage modeling of poverty in Indonesia using the Dynamic Spatial Durbin Model (DSDM). The data used in this study were secondary data obtained from the statistics Indonesia in the period 2010-2019. The parameter estimation method used in this model was the Maximum Likelihood (ML). According to Moral-Benito, Allison and Williams the ML method has the best performance when used on panel data that has small cross-section data dimensions. The results of this study indicated that spatial dependence, time lag, variables of Poverty Gap Index, Poverty Severity Index and Logarithm of Expenditures per Capita affect poverty in Indonesia significantly. Other results showed that DSDM was able to explain the diversity in models at 95.6 %. This seemed higher when it's compared to the Spatial Durbin Model (SDM). Thus, the result of the study proved that DSDM is the best model for modelling dynamic poverty data panel in Indonesia during 2010-2019. © Published under licence by IOP Publishing Ltd.

关键词： Maximum likelihood estimation

来源：评论

学校读者我要写书评

暂无评论

A Bayesian Logit-Normal Model in Small Area Estimation

A Bayesian Logit-Normal Model in Small Area Estimation

引用

International Conference on mathematics, statistics and Data Science 2020, ICMSDS 2020

作者： Sunandi, E. Kurnia, A. Sadik, K. Notodiputro, K.A. Statistics Program Department of Mathematics Bengkulu University Bengkulu Indonesia Department of Statistics IPB University Bogor Indonesia

The Logit-Normal model is one of the GLM Bayes models with random covariates used in binary data. This study aimed to examine and evaluate the characteristics of the Logit-Normal model. The second objective was to apply the Logit-Normal model to estimate the proportion of poverty in the small area of Mukomuko District in Bengkulu Province. We used the Hierarchical Bayes (HB) method to estimate parameters model. The simulation results obtained from the optimum number of iterations and gibbs samples, namely 500 iterations and 100 gibbs samples, respectively. In addition, when seen the value of piHB has the same tendency with the parameter pi and piDE. The value of piHBH tends to overestimate at piHB 60%. Conversely, piHB tends to underestimate piHB > 60%. Furthermore, in the simulation results the estimated value of variance and MSE piHB tends to be smaller than the variance of proportion. The application of the HB method for Logit-Normal model in the Mukomuko District poverty data produces piHB which has the same tendency as the result of direct estimator (piDE). The majority (21 villages) value of var(piHB) are smaller or equal to the var(piDE). This indicates that the estimation using the HB method can improve the estimation of the proportion parameters obtained by using the direct estimation method on poverty data. © Published under licence by IOP Publishing Ltd.

关键词： Bayesian networks

来源：评论

学校读者我要写书评

暂无评论

A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles 41

A Universal Transfer Theorem for Convex Optimization Algorit...

引用

41st International Conference on Machine Learning, ICML 2024

作者： Kerger, Phillip Molinaro, Marco Jiang, Hongyi Basu, Amitabh Department of Applied Mathematics and Statistics Johns Hopkins University Baltimore United States Microsoft Research Redmond United States Department of Computer Science PUC-Rio Rio de Janeiro Brazil Department of Civil and Environmental Engineering Cornell University Ithaca United States

Given any algorithm for convex optimization that uses exact first-order information (i.e., function values and subgradients), we show how to use such an algorithm to solve the problem with access to inexact first-order information. This is done in a "black-box" manner without knowledge of the internal workings of the algorithm. This complements previous work that consider the performance of specific algorithms like (accelerated) gradient descent with inexact information. In particular, our results apply to a wider range of algorithms beyond variants of gradient descent, e.g., projection-free methods, cutting-plane methods, or any other first-order methods formulated in the future. Further, they also apply to algorithms that handle structured nonconvexities like mixed-integer decision variables. Copyright 2024 by the author(s)

关键词： Optimization algorithms

来源：评论

学校读者我要写书评

暂无评论

A Pseudopotential Lattice Boltzmann Analysis for Multicomponent Flow

引用

Communications in Computational Physics 2022年第9期32卷 1156-1178页

作者： Yong Zhao Gerald G.Pereira Shibo Kuang Zhenhua Chai Baochang Shi School of Mathematics and Statistics Changsha University of Science and TechnologyChangsha 410114HunanChina CSIRO Data61 Private Bag 10Clayton South 3168Australia ARC Research Hub for Computational Particle Technology Department of Chemical EngineeringMonash UniversityVictoria 3800Australia School of Mathematics and Statistics Huazhong University of Science and TechnologyWuhan 430074China

This paper presents a pseudopotential lattice Boltzmann analysis to show the deficiency of previous pseudopotential models,i.e.,inconsistency between equilibrium velocity and mixture *** rectify this problem,there are two strategies:decoupling relaxation time and kinematic viscosity or introducing a system mixture relaxation ***,we constructed two modified models:a two-relaxationtime(TRT)scheme and a triple-relaxation-time(TriRT)scheme to decouple the relaxation time and kinematic ***,inspired by the idea of a system mixture relaxation time,we developed three mixture models under different collision schemes,***-SRT,mix-TRT,and mix-TriRT ***,we derived the advection-diffusion equation for the multicomponent system and derived the mutual diffusivity in a ***,we conducted several numerical simulations to validate the analysis on these *** numerical results show that these models can obtain smaller spurious currents than previous models and have a wider range for the accessible viscosity ratio with fourth-order *** to previous models,presentmodels avoid complex matrix operations and only fourth-order isotropy is *** increased simplicity and higher computational efficiency of these models make them easy to apply to engineering and industrial applications.

关键词： Lattice Boltzmann method multicomponent flows Chapman-Enskog analysis

来源：评论

学校读者我要写书评

暂无评论

Performance Analysis of Building Integrated Photovoltaic (BIPV): MANOVA Analysis 1

Performance Analysis of Building Integrated Photovoltaic (BI...

引用

1st Middle East and North Africa Solar Conference, MENA-SC 2023

作者： Alzahmi, Wadhah Alyaarbi, Alyaa Alnaqbi, Tahani Alzaatreh, Ayman Dubai Electricity and Water Authority Dubai United Arab Emirates American University of Sharjah Sharjah Department of Industrial Engineering Engineering Systems Management Program Sharjah26666 United Arab Emirates College of Arts and Sciences American University of Sharjah Sharjah Department of Mathematics and Statistics Sharjah26666 United Arab Emirates

ISBN: (纸本)9781665491464

Global energy consumption has increased over the years due to population growth, economic expansion, and the pursuit of a higher quality of life. The building sector is a critical sector for high consumption, contributing to about 36% of the total global energy consumption in 2020. The global interest in reducing energy consumption allows different sectors to adopt renewable resources such as solar photovoltaics (PV). However, utilizing solar PV in buildings has limitations due to rooftop space constraints in newly designed buildings. Due to this limitation and continuous innovation in solar PV technologies, Building Integrated Photovoltaics (BIPV) have been introduced as a potential alternative for solar PV in buildings. As such, BIPV energy performance and panel temperatures are affected by many factors such as orientation setup and technology type. Therefore, this research aims to analyze the impact of technology type (indium gallium selenide (CIGS) and monocrystalline (MONO) & orientation on BIPV energy production & module temperature. The data used for this study is based on a project completed in Dubai for BIPV in building applications. The results indicate that BIPV type and system orientation during each session significantly affect BIPV energy production and BIPV module temperature. © 2023 IEEE.

关键词： Energy utilization

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：