检索结果-内蒙古大学图书馆

arXiv 2024年

作者： Bo, Shi Xiao, Minheng Department of Mathematics and Statistics Boston University United States Department of Integrated System Engineering Ohio State Univeristy United States

This paper presents a novel approach to root cause attribution of delivery risks within supply chains by integrating causal discovery with reinforcement learning. As supply chains become increasingly complex, traditional methods of root cause analysis struggle to capture the intricate interrelationships between various factors, often leading to spurious correlations and suboptimal decision-making. Our approach addresses these challenges by leveraging causal discovery to identify the true causal relationships between operational variables, and reinforcement learning to iteratively refine the causal graph. This method enables the accurate identification of key drivers of late deliveries, such as shipping mode and delivery status, and provides actionable insights for optimizing supply chain performance. We apply our approach to a real-world supply chain dataset, demonstrating its effectiveness in uncovering the underlying causes of delivery delays and offering strategies for mitigating these risks. The findings have significant implications for improving operational efficiency, customer satisfaction, and overall profitability within supply chains. © 2024, CC BY.

关键词： Reinforcement learning

来源：评论

学校读者我要写书评

暂无评论

Chemical reactive magnetized fluid flow through a vertical channel due to heat source and thermal radiation effects

Chemical reactive magnetized fluid flow through a vertical c...

引用

作者： Sharma, Tarun Sharma, Pooja Kumar, Navin University of Engineering & Management Jaipur Udaipuria Mod Jaipur303807 India Department of Mathematics & Statistics Manipal University Jaipur Jaipur India Indian Military Academy ACC Wing IMA Dehradun248007 India

Chemical reactive magnetized fluid flow through a vertical channel of infinite thin walls occupied with the permeable substance in the presence of heat source and thermal radiation with suction/injection at the walls is deliberated in the present research paper. The characteristic equations of fluid velocity, heat and mass transfer are emanated and their analytical solutions are extricated by using the Homotopy Perturbation Method (HPM). The consequence of the assorted fluid parameters on flow have been depicted through figures, and shear stress, heat and mass transfer rate have been calculated and presented in tables. It is discerned that growth in the chemical reaction helps to decrease the velocity, temperature and concentration profile. Further, it is observed that the heat and mass transfer rates are improved at the moving wall of the channel with the growth in the chemical reaction, and this analysis is useful in the study of food processing, packet bed reactors in chemical industries, and heat exchanger and heat storage devices, thermal engineering etc. © 2022

关键词： Flow of fluids

来源：评论

学校读者我要写书评

暂无评论

Cubic q-Rung Orthopair Fuzzy Linguistic Set and Their Application to Multiattribute Decision-making with Muirhead Mean Operator

引用

Journal of Artificial Intelligence and Technology 2021年第1期1卷 37-50页

作者： Harish Garg Tahir Mahmood Jabbar Ahmmad Qaisar Khan Zeeshan Ali School of Mathematics Thapar Institute of Engineering and TechnologyDeemed UniversityPatiala 147004PunjabIndia Department of Mathematics and Statistics International Islamic UniversityIslamabadPakistan Department of Mathematics Northern UniversityNowsheraPakistan

The objective of this paper is to present a new concept,named cubic q-rung orthopair fuzzy linguistic set(Cq-ROFLS),to quantify the uncertainty in the *** proposed Cq-ROFLS is a qualitative form of cubic q-rung orthopair fuzzy set,where membership degrees and nonmembership degrees are represented in terms of linguistic *** basic notions of Cq-ROFLS have been introduced and study their basic operations and ***,to aggregate the different pairs of preferences,we introduce the Cq-ROFL Muirhead mean-(MM),weighted MM-,dual MM-based *** major advantage of considering the MM is that it considers the interrelationship between more than two arguments at a *** the other hand,the Cq-ROFLS has the ability to describe the qualitative information in terms of linguistic *** properties and relation of the derived operators are *** addition,we also investigate multiattribute decision-making problems under the Cq-ROFLS environment and illustrate with a numerical ***,the effectiveness and advantages of the work are established by comparing with other methods.

关键词： cubic q-rung orthopair fuzzy linguistic set Muirhead mean operators multiattribute decision-making

来源：评论

学校读者我要写书评

暂无评论

Distributed delay control strategy for leader-following cyber secure consensus in Riemann–Liouville fractional-order delayed multi-agent systems under denial-of-service attacks

引用

Partial Differential Equations in Applied mathematics 2024年 11卷

作者： Piqueira, José Roberto Castilho Alsinai, Ammar Niazi, Azmat Ullah Khan Jamil, Airish Systems engineering Escola Politécnica da USP São Paulo Department of mathematics University of Mysore Department of Mathematics and Statistics University of Lahore

Considered distributed delay control strategy for Leader-Following cyber secure consensus in Riemann–Liouville fractional-order delayed Multi-Agent system under Denial-of-Service Attacks, where the associated topology is a switching weighted digraph. By using the classical Lyapunov technique and algebraic graph theory some algebraic criteria are offered. The new aspect of this paper is how thoroughly it discusses denial-of-service (DoS) attacks in the context of fractional-order delayed systems and how to create defences to keep cybersecure consensus maintained. It suggests a distributed delay control approach that ensures agents can reach a consensus even with these difficulties and in the case of DoS (denial-of-service) attacks. This work is significant because it incorporates cybersecurity techniques to strengthen the system's resilience against disruptive assaults, in addition to addressing the technical issues related to delays and fractional-order behaviours. This contribution is essential for enhancing the security and dependability of distributed systems in applications such as networked sensors and autonomous vehicles. To further demonstrate the applicability of our method, two instances are given. © 2024 The Author(s)

关键词： Consensus Fractional-order delayed multi-agent system Lyapunov direct method Riemann–Liouville derivative

来源：评论

学校读者我要写书评

暂无评论

Effectiveness of activated zeolite adsorber in decreased soot emission and increased oxygen concentration from combustion smokes of polyvinyl chloride plastic 2

Effectiveness of activated zeolite adsorber in decreased soo...

引用

2nd International Conference on Physics and Applied Physics, ICP and AP 2023

作者： Banurea, Rahmadhani Purwanti, Eva Syahrina, Maulia Buysang, Luke Gilbert Rachmad, Humam Rafi Physics Diploma Faculty of Vocational Universitas Sumatera Utara North Sumatra Medan20155 Indonesia Department of Physics Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara North Sumatra Medan20155 Indonesia Department of Chemical Faculty of Mathematics and Natural Sciences Universitas Sumatera Utara North Sumatra Medan20155 Indonesia Chemical Engineering Program Faculty of Engineering Universitas Sumatera Utara North Sumatra Medan20155 Indonesia

Polyvinyl Chloride plastic waste is becoming an increasingly urgent global environmental issue. Combustion PVC plastic waste can have significant negative impacts on human health. To overcome these problems, this research was conducted by utilizing zeolite as an adsorbent for PVC combustion smokes. The research methodology is zeolite activation, adsorber design and gas adsorption process through dry adsorption method which is the core of this research. This study will evaluate oxygen concentration and soot emissions. Before being given a zeolite adsorbent, the oxygen concentration produced in PVC combustion smokes was only 17.2% with high soot levels as evidenced by the blackened smoke color. Furthermore, after being given an adsorbent in the form of activated zeolite as much as 283.5 grams, the oxygen concentration produced increased significantly to 20.9% followed by a decrease in soot emission levels as evidenced by changes in the color of whitened smoke. Based on the test results related to the increase in oxygen concentration and the decrease in soot emission levels, it can be concluded that activated zeolite has a high effectiveness in carrying out the PVC combustion smoke adsorption process by producing particles of carbon and oxygen within the normal threshold in the air. © Published under licence by IOP Publishing Ltd.

关键词： Smoke

来源：评论

学校读者我要写书评

暂无评论

Random Selection for Cloud-Based Load-Distributing in Varied P2P Networks using Enhanced Throttled Algorithm 5

Random Selection for Cloud-Based Load-Distributing in Varied...

引用

5th IEEE International Conference on Communication, Computing and Industry 6.0, C2I6 2024

作者： Prakash, V.S. Mary, Margaret T. Shivakumar, B.N. Gnanadurai, Jasmine Divya, K.S. Vennila, J. Kristu Jayanti College Department of Computer Science Karnataka Bangalore India Cmr Institute of Technology Department of Mathematics Karnataka Bengaluru India George Fox University Dept. Electrical and Computer Science Engineering OR United States Manipal College of Health Professions Mahe Department of Statistics Manipal India

ISBN: (纸本)9798350379884

A peer-to-peer network connection is essential to most computer users' daily activities. On heterogeneous P2P networks, maintaining cloud-based load balance is a difficult goal to achieve. Several previous research have provided load rearrangement procedures for additional load diversions, and load division on the point where the original peer arrives. The goal of cloud-based load-sharing in P2P structures is to evenly distribute the burden among net nodes, then it is not effective in efficiently removing traffic that is already happening on the P2P network's routes. By removing the traffic flow and consuming the Random Selection Load Balancing (RSLB) method and the Incredible Store Model, the behaviors in this study are characterized. Using an improved throttled method, the Incredible Store Model is examined to broaden the effects of node variety in addition to agitation toward the capacity circulation in P2P systems. Now different from the current load distribution balancing strategy, the presentation of the Random Selection Load Balancing (RSLB) technique by the Incredible Store Model decreases the network traffic flow pathways with little cloud rate of P2P. By combining the burden in the P2P net system, an investigative and observed conclusion delivers a destruction-free system with information calculated. Peer failure probability in addition to traffic control effectiveness is used to estimate the presentation of the random selection load assessment. © 2024 IEEE.

关键词： Peer to peer networks

来源：评论

学校读者我要写书评

暂无评论

Stochastic approximations of hybrid systems with continuous flow maps ⁎

引用

IFAC-PapersOnLine 2024年第11期58卷 141-146页

作者： Andrew R. Teel Rafal Goebel Electrical and Computer Engineering Department University of California Santa Barbara CA 93106-9560 USA Department of Mathematics and Statistics Loyola University Chicago Chicago IL 60660 USA

We consider the behavior of stochastic simulators of non-stochastic hybrid systems. We focus on the case where the simulator uses randomness to approximate a (non-stochastic) flow map. The latter is assumed to be a function that is continuous, or globally Lipschitz, for simplicity. sufficient conditions guaranteeing that the sample paths of solutions to the simulator converge graphically, almost surely as the step size shrinks to zero, to solutions of a corresponding non-stochastic “average” hybrid system are provided. Probabilistic guarantees of closeness on compact time domains are also provided.

关键词： Hybrid systems stochastic systems simulation

来源：评论

学校读者我要写书评

暂无评论

SUBJECTIVE EQUILIBRIA UNDER BELIEFS OF EXOGENOUS UNCERTAINTY FOR DYNAMIC GAMES

SUBJECTIVE EQUILIBRIA UNDER BELIEFS OF EXOGENOUS UNCERTAINTY...

引用

作者： Arslan, Gürdal Yüksel, Serdar Department of Electrical Engineering University of Hawaii at Manoa HonoluluHI96822 United States Department of Mathematics and Statistics Queen's University Jeffery Hall KingstonONK7L 3N6 Canada

We present a subjective equilibrium notion (called ``subjective equilibrium under beliefs of exogenous uncertainty (SEBEU)"" for stochastic dynamic games in which each player chooses her decisions under the (incorrect) belief that a stochastic environment process driving the system is exogenous whereas in actuality this process is a solution of closed-loop dynamics affected by each individual player. Players observe past realizations of the environment variables and their local information. At equilibrium, if players are given the full distribution of the stochastic environment process as if it were an exogenous process, they would have no incentive to unilaterally deviate from their strategies. This notion thus generalizes what is known as the static price-taking behavior in prior literature to a stochastic and dynamic setup. We establish the existence of SEBEU, study various properties, and present explicit solutions. We obtain the \epsilon-Nash equilibrium property of SEBEU when there are many players. Copyright © by SIAM. Unauthorized reproduction of this article is prohibited.

关键词： Game theory

来源：评论

学校读者我要写书评

暂无评论

Enhanced Prediction of Atopic Dermatitis Severity Using Advanced Machine Learning Techniques

Enhanced Prediction of Atopic Dermatitis Severity Using Adva...

引用

2024 International Conference on Electrical engineering and Informatics, ICELTICs 2024

作者： Maulana, Aga Noviandy, Teuku Rizky Suhendra, Rivansyah Earlia, Nanda Sofyan, Hizir Subianto, Muhammad Sigit Prakoeswa, Cita Rosita Kairupan, Tara Sefanya Idroes, Rinaldi Universitas Syiah Kuala Faculty of Mathematics and Natural Sciences Department of Informatics Banda Aceh Indonesia Universitas Teuku Umar Faculty of Engineering Department of Information Technology Meulaboh Indonesia Zainoel Abidin Regional Public Hospital Dermatology Division Banda Aceh Indonesia Universitas Syiah Kuala Faculty of Mathematics and Natural Sciences Department of Statistics Banda Aceh Indonesia Universitas Airlangga Faculty of Medicine Department of Dermatology and Venereology Surabaya Indonesia Sam Ratulangi University Manado Faculty of Medicine Indonesia Universitas Syiah Kuala Faculty of Mathematics and Natural Sciences Department of Pharmacy Banda Aceh Indonesia

ISBN: (纸本)9798350366822

Atopic dermatitis (AD) is a chronic inflammatory skin condition with increasing prevalence in Indonesia, presenting significant challenges in diagnosis and management. This study introduces a novel approach to objectively classify AD severity using advanced machine learning techniques and comprehensive color feature extraction from clinical images. A unique dataset of 3,037 high-resolution photographs from 250 Acehnese patients was collected at RSUD Dr. Zainoel Abidin, captured using a standardized 12-megapixel smartphone protocol. Ninety color features were extracted from multiple color spaces to capture the diverse visual characteristics of AD lesions. Four state-of-the-art machine learning models - XGBoost, CatBoost, LightGBM, and Random Forest - were employed to classify AD severity into four categories: None, Mild, Moderate, and Severe. Models were trained and evaluated using various performance metrics including accuracy, precision, recall, and F1-score. Results showed high performance across all models, with LightGBM achieving the highest accuracy of 95.07%, followed closely by XGBoost at 94.74%. SHAP analysis revealed that standard deviation features, particularly those related to hue and chrominance variability across different color spaces, were most influential in severity classification. This research demonstrates the potential of combining advanced color feature extraction with machine learning to create an objective, consistent, and accessible tool for AD severity assessment. The findings have significant implications for improving AD management in resource-limited settings and standardizing severity assessment in clinical practice and research © 2024 IEEE.

关键词： Dermatitis

来源：评论

学校读者我要写书评

暂无评论

Uncertainty analysis for the calculation of marine environmental design parameters in the South China Sea

引用

Journal of Oceanology and Limnology 2023年第2期41卷 427-443页

作者： Guilin LIU Xinsheng ZHOU Yi KOU Fang WU Daniel ZHAO Yu XU College of Engineering Ocean University of ChinaQingdao 266071China Dornsife College University of Southern CaliforniaLos AngelesCA 90089USA Statistics and Applied Probability University of California Santa BarbaraSanta BarbaraCA 93106USA Department of Mathematics Harvard UniversityCambridgeMA 02138USA Shandong Key Laboratory of Marine Engineering Ocean University of ChinaQingdao 266071China

The calculation results of marine environmental design parameters obtained from different data sampling methods,model distributions,and parameter estimation methods often vary *** better analyze the uncertainties in the calculation of marine environmental design parameters,a general model uncertainty assessment method is *** proposed a new multivariate model uncertainty assessment method for the calculation of marine environmental design *** method divides the overall model uncertainty into two categories:aleatory uncertainty and epistemic *** aleatory uncertainty of the model is obtained by analyzing the influence of the number and the dispersion degree of samples on the information entropy of the *** epistemic uncertainty of the model is calculated using the information entropy of the model itself and the prediction *** advantages of this method are that it does not require many-year-observation data for the marine environmental elements,and the method can be used to analyze any specific factors that cause model *** show that by applying the method to the South China Sea,the aleatory uncertainty of the model increases with the number of samples and then stabilizes.A positive correlation was revealed between the dispersion of the samples and the aleatory uncertainty of the *** the distribution of the model and the parameter estimation results of the model have significant effects on the epistemic uncertainty of the *** the goodness-of-fit of the model is relatively close,the best model can be selected according to the criterion of the lowest overall uncertainty of the models,which can both ensure a better model fit and avoid too much uncertainty in the model calculation *** presented multivariate model uncertainty assessment method provides a criterion to measure the advantages and disadvantages of the marine environmental design parameter calculation model from the aspect of u

关键词： South China Sea marine environmental design parameters model uncertainty information entropy Monte Carlo method

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：