Journal of Computational Science最新文献_第6页

Deep dive into generative models through feature interpoint distances 通过特征点间距离深入研究生成模型

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-11 DOI: 10.1016/j.jocs.2025.102539

Dariusz Jajeśniak , Piotr Kościelniak, Arkadiusz Zajdel, Marcin Mazur

引用次数: 0

A novel approach for overlapping community detection in social networks based on the attraction 基于吸引力的社交网络重叠社区检测新方法

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102508

Kuo Chi , Hui Qu , Ziheng Fu

{"title":"A novel approach for overlapping community detection in social networks based on the attraction","authors":"Kuo Chi , Hui Qu , Ziheng Fu","doi":"10.1016/j.jocs.2024.102508","DOIUrl":"10.1016/j.jocs.2024.102508","url":null,"abstract":"<div><div>The growing scale of networks makes the study of social networks increasingly difficult. Overlapping community detection can both make the network easier to analyze and manage by detecting communities and better represent the intersection between communities. In this paper, a novel approach for overlapping community detection in social networks is proposed. First, the nodes with local maximum degree are selected from the global network to form initial communities. Next, if the attraction between a community and its surrounding node exceeds a set threshold, these nodes can be directly attracted to that community. Then repeat the above process iteratively until communities no longer change, and nodes that have not yet been divided into communities are regarded as overlapping nodes if they are attracted to two or more communities all greater than the set threshold. In addition, the membership of an overlapping node<del>s</del> in a related community can be calculated by computing the ratio of the attraction of that community to the overlapping node to the sum of the attractions that the node has. Finally, experimental results on 4 synthetic networks and 6 real-world networks show that the proposed algorithm is effective in detecting overlapping communities and performs better compared to some existing algorithms.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102508"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177671","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

Poisson-based framework for predicting count data: Application to traffic counts in Prague areas 基于泊松的计数数据预测框架：在布拉格地区的交通计数应用

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102534

Evženie Uglickich , Ivan Nagy

{"title":"Poisson-based framework for predicting count data: Application to traffic counts in Prague areas","authors":"Evženie Uglickich , Ivan Nagy","doi":"10.1016/j.jocs.2025.102534","DOIUrl":"10.1016/j.jocs.2025.102534","url":null,"abstract":"<div><div>In this paper, we address the task of modeling and predicting count data, with an application to traffic counts on selected urban roads in Prague. We investigated the relationship between multiple counts, designating one of them as the target variable (e.g., data from a key road section) and the others as explanatory counts. Defining traffic count data as the number of vehicles passing through a selected road section per unit of time, we use a framework based on Poisson models to develop a progressive methodology, which we compared with existing models. Working with multimodal count data, we propose the following main steps for the methodology: (i) cluster analysis of explanatory counts using recursive Bayesian estimation of Poisson mixtures; (ii) target count model estimation via local Poisson regressions at identified locations, capturing local relationships between target and explanatory counts; and (iii) prediction of target counts through real-time location detection. The algorithm’s properties were first investigated using simulated data and then validated with real traffic counts. Experimental results indicate that the proposed algorithm outperforms classical Poisson and negative binomial regressions, decision tree and random forest classifiers, as well as a multi-layer perceptron, in predicting traffic count data across various quality metrics, even for weakly correlated data. Applied to traffic count data, the promising performance demonstrated by the proposed algorithm offers an optimistic vision for traffic prediction and urban planning, suggesting its potential as a valuable tool for enhancing transportation efficiency by optimizing the timing of city traffic lights to improve traffic flow.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102534"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143335841","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

Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils 纤维素纳米原纤维流动诱导双折射的自动学习分析

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102536

Federica Bragone , Kateryna Morozovska , Tomas Rosén , Tor Laneryd , Daniel Söderberg , Stefano Markidis

{"title":"Automatic learning analysis of flow-induced birefringence in cellulose nanofibrils","authors":"Federica Bragone , Kateryna Morozovska , Tomas Rosén , Tor Laneryd , Daniel Söderberg , Stefano Markidis","doi":"10.1016/j.jocs.2025.102536","DOIUrl":"10.1016/j.jocs.2025.102536","url":null,"abstract":"<div><div>Cellulose Nanofibrils (CNFs), highly present in nature, can be used as building blocks for future sustainable materials, including strong and stiff filaments. A rheo-optical flow-stop technique is used to conduct experiments to characterize the CNFs by studying Brownian dynamics through the CNFs’ birefringence decay after stop. As the experiments produce large quantities of data, we reduce their dimensionality using Principal Component Analysis (PCA) and exploit the possibility of visualizing the reduced data in two ways. First, we plot the principal components (PCs) as time series, and by training LSTM networks assigned for each PC time series with the data before the flow stop, we predict the behavior after the flow stop (Bragone et al., 2024). Second, we plot the first PCs against each other to create clusters that give information about the different CNF materials and concentrations. Our approach aims at classifying the CNF materials to varying concentrations by applying unsupervised machine learning algorithms, such as <em>k</em>-means and Gaussian Mixture Models (GMMs). Finally, we analyze the Autocorrelation Function (ACF) and the Partial Autocorrelation Function (PACF) of the first principal component, detecting seasonality in lower concentrations.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102536"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143349416","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

A multiple sclerosis two-compartmental differential equation computational model 3D simulation using OpenCL 基于OpenCL的多发性硬化症双室微分方程计算模型三维仿真

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102516

Matheus Ávila Moreira de Paula , Gustavo G. Silva , Gabriela Machado Gazola , Barbara M. Quintela , Marcelo Lobosco

引用次数: 0

Edge-Wise Graph-Instructed Neural Networks 边缘图指示神经网络

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102518

Francesco Della Santa , Antonio Mastropietro , Sandra Pieraccini , Francesco Vaccarino

引用次数: 0

Multi-objective optimization in the design of load sharing systems with mixed redundancy strategies under random shocks 随机冲击下混合冗余负荷分担系统多目标优化设计

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102495

Mohammad Yaghtin, Youness Javid, Mostafa Abouei Ardakan

引用次数: 0

Unraveling dynamics of bursting, transient, and tipping behavior in toxic plankton–fish system with fear and zooplankton refuge 在有恐惧和浮游动物庇护的有毒浮游生物-鱼类系统中，揭示爆发、瞬态和引爆行为的动力学

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2025.102527

Navneet Rana , Rakesh Kumar , Abhijit Sarkar , Bapin Mondal

{"title":"Unraveling dynamics of bursting, transient, and tipping behavior in toxic plankton–fish system with fear and zooplankton refuge","authors":"Navneet Rana , Rakesh Kumar , Abhijit Sarkar , Bapin Mondal","doi":"10.1016/j.jocs.2025.102527","DOIUrl":"10.1016/j.jocs.2025.102527","url":null,"abstract":"<div><div>The increasing flow of environmental poisonous substances into aquatic systems elevates considerable concerns about their impact on natural aquatic environments. Among aquatic organisms, phytoplankton and zooplankton emerge as particularly vulnerable to these toxins. Additionally, the toxin-producing phytoplankton plays a pivotal role in regulating natural aquatic ecosystems. Our aim is to delve into the intricate interplay between phytoplankton, zooplankton, and fish populations involving the impact of toxins, predations fear, and refuge-seeking behavior of zooplankton. The dynamics of toxin release by phytoplankton exhibit a complexity characterized by various transitions, including saddle–node, transcritical, and Hopf bifurcations. Furthermore, a low refuge rate and a low minimum cost of fear result in bursting pattern behaviors and increase the frequency of these patterns. However, as these factors increase, the bursting patterns can no longer be sustained, leading the system to transition to a stable state. Additionally, the transient response is evident in the system under conditions of high refuge and high saturation levels of predation. The system swiftly transitions from unstable oscillations to stable dynamics within a very short transient time frame. Conversely, under conditions of very low refuge and low saturation levels of predation, tipping behavior is observed in the system, demonstrating sensitivity to initial populations. The presence of environmental toxins significantly impacts the species under discussion. All numerical simulations strongly validate the analytical findings. Furthermore, each result is accompanied by a biological interpretation, which is discussed in the conclusion section.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102527"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177202","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

Forward and turning flight simulation of flying cars and comparative evaluation of flight dynamics models considering wind disturbances 飞行汽车前转飞行仿真及考虑风扰动的飞行动力学模型比较评价

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102519

Taiga Magata , Ayato Takii , Masashi Yamakawa , Yusei Kobayashi , Shinichi Asao , Seiichi Takeuchi , Yongmann M. Chung

{"title":"Forward and turning flight simulation of flying cars and comparative evaluation of flight dynamics models considering wind disturbances","authors":"Taiga Magata , Ayato Takii , Masashi Yamakawa , Yusei Kobayashi , Shinichi Asao , Seiichi Takeuchi , Yongmann M. Chung","doi":"10.1016/j.jocs.2024.102519","DOIUrl":"10.1016/j.jocs.2024.102519","url":null,"abstract":"<div><div>The implementation of flying cars as Urban Air Mobility (UAM) requires ensuring safety, and high-precision simulation technology is essential as an efficient development method.　As most flying cars in the development stage are small, multi-rotor types that derive thrust from multiple propellers, the effect of wind is considered to be significant during actual flight. In previous studies, attempts were made to elucidate the effects of wind on small Urban Air Mobility (UAM) vehicles in the development stage by introducing wind disturbances, with headwinds during forward flight and crosswinds during turning flight [1]. In this study, four additional high-speed disturbance patterns were added and a total of 22 patterns of acceleration and constant speed turning flight were numerically simulated to elucidate the dynamic effects of wind disturbance on the aircraft in the high-speed range. In addition, as there is a trade-off between calculation time and calculation accuracy in CFD, more accurate and efficient control design can be carried out before fluid analysis to speed up the development of flying cars. Therefore, a flight dynamics model was designed that incorporates the three-dimensional Newton-Euler equation and PID control, taking into account drag forces and the torque exerted by the drag forces. This study aims to elucidate the aerodynamic interference effects on the aircraft caused by high-speed disturbances, which have not been thoroughly investigated in previous research. Additionally, it evaluates the validity of two flight dynamics models and highlights the importance of considering fluid dynamics.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102519"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177203","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

A phenomenological discrete model for cardiac tissue mechanics 心脏组织力学的现象学离散模型

IF 3.1 3区计算机科学

Journal of Computational Science Pub Date : 2025-02-01 DOI: 10.1016/j.jocs.2024.102496

Ricardo Silva Campos , Joventino Oliveira Campos , Bernardo Martins Rocha , Helio José Corrêa Barbosa , Rodrigo Weber dos Santos

{"title":"A phenomenological discrete model for cardiac tissue mechanics","authors":"Ricardo Silva Campos , Joventino Oliveira Campos , Bernardo Martins Rocha , Helio José Corrêa Barbosa , Rodrigo Weber dos Santos","doi":"10.1016/j.jocs.2024.102496","DOIUrl":"10.1016/j.jocs.2024.102496","url":null,"abstract":"<div><div>This study introduces a simulator for replicating cardiac contraction using a mass–spring system, chosen for its simplicity and computational efficiency. Our phenomenological model’s validity was established by comparing it with finite element method (FEM) based simulators, employing a cardiac mechanics benchmark comprising three distinct experiments. Comparative metrics such as shear, strain, and volume preservation were employed. During the systolic phase, discrepancies between the mass–spring and FEM models ranged from 1 to 5% (depending on the metric). Good agreement was also observed across a complete cardiac cycle. The most notable disparity between the models occurred during the experiment simulating significant heart inflation, ranging from 3 to 13% based on the comparison metric. Furthermore, the mass–spring model exhibited an execution time over seven times faster than the FEM-based model. In conclusion, our work presents a novel phenomenological model for cardiac contraction employing a computationally efficient spring-mass system. This characteristic is particularly pertinent for generating patient-specific models and digital twins.</div></div>","PeriodicalId":48907,"journal":{"name":"Journal of Computational Science","volume":"85 ","pages":"Article 102496"},"PeriodicalIF":3.1,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177208","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