Journal of Computational Science最新文献_第6页

Fuzzy calculator – A tool for management needs

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102515

Simona Hašková, Petr Šuleř, Martin Smrt

{"title":"Fuzzy calculator – A tool for management needs","authors":"Simona Hašková, Petr Šuleř, Martin Smrt","doi":"10.1016/j.jocs.2024.102515","DOIUrl":"10.1016/j.jocs.2024.102515","url":null,"abstract":"<div><div>Fuzzy logic and fuzzy system models have become popular tools in the field of management as they enable efficient handling of uncertainty. We present a tool based on the authors´ original approach focused on solving complex managerial problems affected by the vagueness or uncertainty caused by the human factor. For this purpose, we show the connection between the functioning principle of the tool and processes occurring in the human mind including a description of its structure as perceived by an external observer. This is followed by an overview of selected fragments of fuzzy propositional logic, the theory of fuzzy sets, and the conclusions derived from it. The main part consists of formulating an algebraic description of the computational process of multi-criteria evaluation of the considered alternative performed by a fuzzy system, which serves as the executive unit of a Fuzzy calculator. This is supplemented by a flowchart diagram illustrating the algorithm of its functioning. The Fuzzy calculator distinguishes itself from other fuzzy systems by standardizing all linguistic variables, regardless of the number of linguistic values, into a unified framework comprising three terms <em>L</em>, <em>M</em>, and <em>H</em>, which are represented using trapezoidal fuzzy numbers, ensuring precise mathematical characterization. During the transformation, the original linguistic terms are preserved by incorporating the positions of their support intervals, thereby maintaining the specificity of the input information. This approach establishes the Fuzzy calculator as a universal and highly adaptable tool, capable of addressing a wide range of practical managerial problems with improved consistency and control.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102515"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

On a computational paradigm for a class of fractional order direct and inverse problems in terms of physics-informed neural networks with the attention mechanism

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102514

M. Srati , A. Oulmelk , L. Afraites , A. Hadri , M.A. Zaky , A.S. Hendy

{"title":"On a computational paradigm for a class of fractional order direct and inverse problems in terms of physics-informed neural networks with the attention mechanism","authors":"M. Srati , A. Oulmelk , L. Afraites , A. Hadri , M.A. Zaky , A.S. Hendy","doi":"10.1016/j.jocs.2024.102514","DOIUrl":"10.1016/j.jocs.2024.102514","url":null,"abstract":"<div><div>Physics-Informed Neural Networks (PINNs) have recently gained significant attention for their ability to solve both forward and inverse problems associated with linear and nonlinear fractional partial differential equations (PDEs). However, PINNs, relying on feedforward neural networks (FNNs), overlook the crucial temporal dependencies inherent in practical physics systems. As a result, they fail to globally propagate the initial condition constraints and accurately capture the true solutions under various scenarios. In contrast, the attention mechanism offers flexible means to implicitly exploit patterns within inputs and, moreover, establish relationships between arbitrary query locations and inputs. Thus, we present an attention-based framework for PINNs, which we term PINNs-Transformer (Zhao et al., 2023). The framework was constructed using self-attention and a set of point-wise multilayer perceptrons (MLPs). The novelty is in applying the framework to the various fractional differential equations with stiff dynamics as well as their inverse formulations. We have also validated the PINNs-Transformer on two examples: one involving a fractional diffusion differential equation over time, and the other focused on identifying a space-dependent parameter associated with the direct problem described in the first example. We reinforce this finding by conducting a numerical comparison with variant of PINN methods based on criteria such as relative error, complexity, memory needs and execution time.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102514"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Onco*: An umbrella Python framework for modelling and simulation of oncological scenarios

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102533

Marlon Suditsch , Arndt Wagner , Tim Ricken

引用次数: 0

An efficient 6th-order compact difference scheme with error estimation for nonlocal Lane–Emden equation

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102529

Nirupam Sahoo, Randhir Singh

{"title":"An efficient 6th-order compact difference scheme with error estimation for nonlocal Lane–Emden equation","authors":"Nirupam Sahoo, Randhir Singh","doi":"10.1016/j.jocs.2025.102529","DOIUrl":"10.1016/j.jocs.2025.102529","url":null,"abstract":"<div><div>In this manuscript, we present a new and efficient 6th-order compact difference method for solving the nonlocal Lane–Emden equation. This method effectively addresses singular-type problems without the need to modify or remove the singularities. To achieve this, we construct a uniform mesh across the domain and develop a new sixth-order discrete method that approximates the derivatives, transforming the differential equation into a system of equations. Use Newton or any iterative technique to obtain the numerical solution of the system of equations. Our new scheme efficiently handles the singularity at <span><math><mrow><mi>t</mi><mo>=</mo><mn>0</mn></mrow></math></span>. Additionally, we conduct a mathematical analysis of the method’s consistency, stability, error bounds, and convergence rate. We also include several numerical problems from the existing literature to demonstrate the accuracy, efficiency, and applicability of the proposed scheme. Also, compare the numerical approximations with the existing recent techniques. The newly proposed scheme offers 6th-order accuracy using a small-size matrix and delivers better numerical results than the existing methods.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102529"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102523

Jake Lever , Sibo Cheng , César Quilodrán Casas , Che Liu , Hongwei Fan , Robert Platt , Andrianirina Rakotoharisoa , Eleda Johnson , Siyi Li , Zhendan Shang , Rossella Arcucci

{"title":"Facing & mitigating common challenges when working with real-world data: The Data Learning Paradigm","authors":"Jake Lever , Sibo Cheng , César Quilodrán Casas , Che Liu , Hongwei Fan , Robert Platt , Andrianirina Rakotoharisoa , Eleda Johnson , Siyi Li , Zhendan Shang , Rossella Arcucci","doi":"10.1016/j.jocs.2024.102523","DOIUrl":"10.1016/j.jocs.2024.102523","url":null,"abstract":"<div><div>The rapid growth of data-driven applications is ubiquitous across virtually all scientific domains, and has led to an increasing demand for effective methods to handle data deficiencies and mitigate the effects of imperfect data. This paper presents a guide for researchers encountering real-world data-driven applications, and the respective challenges associated with this. This article proposes the concept of the Data Learning Paradigm, combining the principles of machine learning, data science and data assimilation to tackle real-world challenges in data-driven applications. Models are a product of the data upon which they are trained, and no data collected from real world scenarios is perfect due to natural limitations of sensing and collection. Thus, computational modelling of real world systems is intrinsically limited by the various deficiencies encountered in real data. The Data Learning Paradigm aims to leverage the strengths of data improvement to enhance the accuracy, reliability, and interpretability of data-driven models. We outline a range of methods which are currently being implemented in the field of Data Learning involving machine learning and data science methods, and discuss how these mitigate the various problems associated with data-driven models, illustrating improved results in a multitude of real world applications. We highlight examples where these methods have led to significant advancements in fields such as environmental monitoring, planetary exploration, healthcare analytics, linguistic analysis, social networks, and smart manufacturing. We offer a guide to how these methods may be implemented to deal with general types of limitations in data, alongside their current and potential applications.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102523"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Numerical scheme for solving the soil-water coupling problems based on finite volume method with unstructured mesh

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102526

Xiaohui Su , Mingliang Zhang , Degao Zou , Yong Zhao , Jiantao Zhang , Haoyang Su

{"title":"Numerical scheme for solving the soil-water coupling problems based on finite volume method with unstructured mesh","authors":"Xiaohui Su , Mingliang Zhang , Degao Zou , Yong Zhao , Jiantao Zhang , Haoyang Su","doi":"10.1016/j.jocs.2025.102526","DOIUrl":"10.1016/j.jocs.2025.102526","url":null,"abstract":"<div><div>In this paper, a novel matrix-free finite volume (FV) numerical scheme with unstructured mesh is proposed for simulating unsaturated seepage-stress coupling problems in earth science. The proposed model solves Richards Equation (RE) for unsteady unsaturated infiltration flow and Cauchy Equation (CE) for soil dynamics. A universal finite volume (FV) numerical scheme is developed for solving the governing equations mentioned above with unstructured mesh. The techniques of matrix-free and fully implicit time stepping algorithm are utilized in the numerical discretization in order to avoiding for the calculation and storage of large matrices. The new model is assessed and evaluated by benchmarks and test infiltration cases. Comparing with the solutions of commercial software packages called GEO-Studio and AutoBANK, the accuracy of the proposed model is assessed and verified. A slope infiltration simulation case is carried out as the engineering application of the current model at last. With the advantage of novel numerical scheme and high accuracy, the proposed model shows its potential value in engineering application.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102526"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143176122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Flow field analysis of Vortex Ring State through descent experiments and simulations with a quadcopter

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102528

Ryuki Mori , Ayato Takii , Masashi Yamakawa , Shinichi Asao , Seiichi Takeuchi , Yusei Kobayashi , Yongmann M. Chung

{"title":"Flow field analysis of Vortex Ring State through descent experiments and simulations with a quadcopter","authors":"Ryuki Mori , Ayato Takii , Masashi Yamakawa , Shinichi Asao , Seiichi Takeuchi , Yusei Kobayashi , Yongmann M. Chung","doi":"10.1016/j.jocs.2025.102528","DOIUrl":"10.1016/j.jocs.2025.102528","url":null,"abstract":"<div><div>Vortex Ring State (VRS), which can occur during descent of rotorcraft including drones, is a flow field phenomenon that causes instability and may result in a crash. In the Lecture Note, Mori (2024) focused on the rotor model of a quadcopter to analyze the flow field during VRS [1]. In this study which is an extension of that research, descent experiments using a quadcopter drone was conducted to collect flight data on the descent speed and attitude angle at which VRS can occur. As a result, large roll angle change was observed at descent speeds close to hovering induced velocity. Next, descent simulation using the same quadcopter model as in the descent experiment was conducted using the velocity data obtained in the real experiments to verify the flow field in the VRS. The numerical fluid dynamics simulations were performed by combining Moving Computational Domain (MCD) method and sliding mesh method, and by considering the coupling between the fluid and the rigid body. As a result, vortex ring was observed around the rotors when the descent velocity was close to the hovering induced velocity. From the Q criterion isosurface, it is considered that the flow including the disturbance generated by the rotors is stagnant around the rotors, which leads to the instability of the quadcopter. Furthermore, the lift value fluctuation rate of more than 15 % indicates that VRS was likely to have occurred at descent speeds close to the hovering induced speed.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102528"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177206","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An efficient quantum circuit for block encoding a pairing Hamiltonian

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102480

Diyi Liu , Weijie Du , Lin Lin , James P. Vary , Chao Yang

引用次数: 0

Integration of multi-fidelity methods in parametrized non-intrusive reduced order models for industrial applications

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102511

Fausto Dicech , Konstantinos Gkaragkounis , Lucia Parussini , Anna Spagnolo , Haysam Telib

引用次数: 0

A filling method for missing soft measurement data based on a conditional denoising diffusion model

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102531

Dongnian Jiang, Shuai Zhang

{"title":"A filling method for missing soft measurement data based on a conditional denoising diffusion model","authors":"Dongnian Jiang, Shuai Zhang","doi":"10.1016/j.jocs.2025.102531","DOIUrl":"10.1016/j.jocs.2025.102531","url":null,"abstract":"<div><div>In complex industrial processes, incomplete datasets are common due to problems such as different sampling periods and data loss, which reduces the accuracy of industrial soft sensing models. To solve this problem, this paper proposes a missing data generation and filling method based on a conditional denoising diffusion model. First, a missing area detection method based on a binary mark array is used to locate the region of missing data, and a masking mechanism is applied to obtain the accurate location and size of the missing data. Then, the correlation between the original data and the mask matrix is learned with a multi-head self-attention mechanism, and is used as the condition for the original denoising diffusion model to ensure the accuracy of the generated data. Finally, the generated data are filled into the missing areas to construct a complete dataset, with the aim of improving the prediction accuracy of the soft sensor model. The simulation results demonstrate that the proposed imputation method performs exceptionally well in filling missing data. Compared to traditional methods, it significantly enhances the prediction accuracy of the soft sensor model, reducing the mean squared error by approximately 40 %.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102531"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0