SoftwareX最新文献_第9页

AIME-solve: Accessible interactive mathematical expressions solver for optimized learning and visual empowerment AIME-solve：可访问的交互式数学表达式求解器，用于优化学习和视觉授权

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-24 DOI: 10.1016/j.softx.2025.102143

Amjad Ali , Shah Khusro , Fakhre Alam , Inayat Khan , Shabbab Ali Algamdi

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引用次数: 0

UniDam: An Abaqus Plugin to break down verification of a damage model for composites UniDam：一个Abaqus插件，用于分解复合材料损伤模型的验证

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-24 DOI: 10.1016/j.softx.2025.102134

Sérgio Costa , Miguel Herráez , Xiao Chen

引用次数: 0

ContDataQC: An R package and Shiny app for quality control of continuous water quality sensor data ContDataQC：一个R包和闪亮的应用程序，用于连续水质传感器数据的质量控制

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-22 DOI: 10.1016/j.softx.2025.102124

Michael J. Pennino , Jen Stamp , Erik W. Leppo , David A. Gibbs , Britta G. Bierwagen

{"title":"ContDataQC: An R package and Shiny app for quality control of continuous water quality sensor data","authors":"Michael J. Pennino , Jen Stamp , Erik W. Leppo , David A. Gibbs , Britta G. Bierwagen","doi":"10.1016/j.softx.2025.102124","DOIUrl":"10.1016/j.softx.2025.102124","url":null,"abstract":"<div><div>The ContDataQC R package is a free, open-source tool that was developed to help water quality monitoring programs perform quality control (QC) procedures on continuous sensor data. ContDataQC helps users speed up and standardize the QC process, minimize undetected data errors, and make full use of their sensor data. It has three main functions: generate QC reports to detect anomalies and erroneous data values, merge QC'd data files from different time periods, and generate time series plots and basic summary statistics. ContDataQC is currently configured to run on nine different parameters: air and water temperature, dissolved oxygen, conductivity, chlorophyll-a, air and water pressure, sensor depth, pH, turbidity, and salinity. Users can add new parameters and customize many of the requirements by editing a plain text configuration file. A web app version, through R Shiny, is available within the package or via a weblink. If accessed via the URL, it will not require the installation of R software. In this paper, we describe the main functions of ContDataQC and discuss how it is being applied in long-term regional monitoring networks for streams and lakes. Both the R Shiny web app and the R package are for users who have no existing workflow for sensor data and wish to adopt the approach of ContDataQC (which has a particular organizational scheme and sequential workflow). People without R coding experience can use the Shiny app, which has a more user-friendly interface, while users who are proficient in R may choose to use the code package.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102124"},"PeriodicalIF":2.4,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143680086","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Statistical package for computing precision covariance matrices via modified Cholesky decomposition 统计包计算精度协方差矩阵通过修正Cholesky分解

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-21 DOI: 10.1016/j.softx.2025.102125

Elías D. Niño-Ruiz , Dylan Samuel Cantillo Arrieta , Giuliano Raffaele Frieri Quiroz , Nicolas Quintero Quintero

引用次数: 0

PyGenAlgo: A simple and powerful toolkit for genetic algorithms PyGenAlgo：一个简单而强大的遗传算法工具包

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-21 DOI: 10.1016/j.softx.2025.102127

Michail D. Vrettas, Stefano Silvestri

引用次数: 0

LFM: An R package for laplace factor model LFM：一个拉普拉斯因子模型的R包

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-20 DOI: 10.1016/j.softx.2025.102133

Siqi Liu, Guangbao Guo

引用次数: 0

TLIC: An R package for the LIC for T distribution regression analysis TLIC：用于T分布回归分析的LIC的R包

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-20 DOI: 10.1016/j.softx.2025.102132

Guofu Jing, Guangbao Guo

引用次数: 0

opstool: A Python library for OpenSeesPy analysis automation, streamlined pre- and post-processing, and enhanced data visualization opstool：用于OpenSeesPy分析自动化的Python库，简化了预处理和后处理，增强了数据可视化

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-18 DOI: 10.1016/j.softx.2025.102126

Yexiang Yan , Yazhou Xie

引用次数: 0

MOCAT-pySSEM: An open-source Python library and user interface for orbital debris and source sink environmental modeling MOCAT-pySSEM：用于轨道碎片和源汇环境建模的开源Python库和用户界面

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-18 DOI: 10.1016/j.softx.2025.102062

Indigo Brownhall , Miles Lifson , Stephen Hall, Charles Constant , Giovanni Lavezzi , Marek Ziebart , Richard Linares , Santosh Bhattarai

{"title":"MOCAT-pySSEM: An open-source Python library and user interface for orbital debris and source sink environmental modeling","authors":"Indigo Brownhall , Miles Lifson , Stephen Hall, Charles Constant , Giovanni Lavezzi , Marek Ziebart , Richard Linares , Santosh Bhattarai","doi":"10.1016/j.softx.2025.102062","DOIUrl":"10.1016/j.softx.2025.102062","url":null,"abstract":"<div><div>The rapid increase in the number of Low-Earth Orbit (LEO) satellites and reducing launch costs is likely to threaten the orbital environment. Understanding how this growth will affect the orbital debris population is paramount to designing effective policy, regulation and mitigation to protect the long term space sustainability of LEO. This will require interdisciplinary research of potential impacts, demanding contributions from social scientists, economists, astronomers, and alike. However, the complexity of astrodynamics and technical ability to build evolutionary space environment models often poses a significant barrier to interdisciplinary engagement, impeding critical research in this area. Previous models and tools have been developed, but are often not open-source nor accessible. MIT Orbital Capacity Assessment Tools (MOCAT) was developed to provide an open-source evolutionary space environment modeling capability to the broader space and policy communities, featuring both a computationally intensive but higher fidelity full-scale Monte Carlo model (MOCAT-MC) and a lower fidelity but significantly faster source sink evolutionary modeling framework, (MOCAT-SSEM). Here we continue this journey by presenting a Python version of the source sink tool, MOCAT-pySSEM with an accompanying web application (featuring cloud-hosted computation) to support future interdisciplinary research.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102062"},"PeriodicalIF":2.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143642395","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Mill+, an intuitive tool for simulating the milling process: Vibrations, cutting forces and surface quality control Mill+，一个直观的工具，模拟铣削过程：振动，切削力和表面质量控制

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2025-03-18 DOI: 10.1016/j.softx.2025.102114

Gorka Urbikain-Pelayo , Daniel Olvera-Trejo , Luis Norberto López de Lacalle , Alex Elías-Zuñiga , Itziar Cabanes

{"title":"Mill+, an intuitive tool for simulating the milling process: Vibrations, cutting forces and surface quality control","authors":"Gorka Urbikain-Pelayo , Daniel Olvera-Trejo , Luis Norberto López de Lacalle , Alex Elías-Zuñiga , Itziar Cabanes","doi":"10.1016/j.softx.2025.102114","DOIUrl":"10.1016/j.softx.2025.102114","url":null,"abstract":"<div><div>Machining is a highly technological manufacturing process for producing high-added value components across various engineering applications ranging from automotive to aerospace and medical devices. Especially in the machining of flexible components, vibrations remain a significant barrier to productivity, due to the lack of specific scientific understanding about the mechanics of the cutting process, tool-workpiece dynamics and the causes of unstable vibrations. While commercial software solutions exist, their cost and steep learning curve limit the access of small companies and researchers aiming to optimize machining dynamics. To address this gap, Mill+ provides a simple and intuitive solution to the time-delay dynamic equations that characterize milling systems with flexible features. The software generates stability diagrams based on typical milling parameters such as spindle speed, axial depth of cut and surface roughness predictions. Additionally, it offers insights into critical process variables, including cutting forces, power consumption, and material removal rates. This comprehensive visualization data enables users to make informed decisions about cutting parameters and predict outcomes without relying on the trial and error approach. Mill+ is designed for professional practitioners and postgraduate students to get started in machining vibrations.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102114"},"PeriodicalIF":2.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715222","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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