SoftwareX最新文献_第9页

Stop@: A framework for scalable and noise-resistant stop-move segmentation of large datasets of trajectories in outdoor and indoor spaces Stop@：对户外和室内空间的大型轨迹数据集进行可扩展、抗噪的停止运动分割的框架

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-17 DOI: 10.1016/j.softx.2024.101815

引用次数: 0

ArcNLET-Py: An ArcGIS-based nitrogen load estimation toolbox developed using python for ArcGIS pro ArcNLET-Py：使用 Python 为 ArcGIS pro 开发的基于 ArcGIS 的氮负荷估算工具箱

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-16 DOI: 10.1016/j.softx.2024.101816

{"title":"ArcNLET-Py: An ArcGIS-based nitrogen load estimation toolbox developed using python for ArcGIS pro","authors":"","doi":"10.1016/j.softx.2024.101816","DOIUrl":"10.1016/j.softx.2024.101816","url":null,"abstract":"<div><p>Onsite Sewage Treatment and Disposal Systems (OSTDS) are privately owned infrastructures that are critical for treating domestic wastewater in the USA. The ArcGIS-based Nitrogen Load Estimation Toolbox (ArcNLET) was developed to estimate nitrogen load from OSTDS to groundwater and surface waterbodies by simulating reactive transport of ammonium and nitrate nitrogen in soils and unconfined groundwater aquifers. Quantifying the load and removal of wastewater effluent requires resources, including data, computational power, and professional expertise that are not always available to state and local government agencies. Here, we discuss the advantages of utilizing a simplified model within a GIS to overcome data restraints, simulate the transport and load of nitrogen, and elaborate on the process of renovating and updating ArcNLET for integration with Python and ArcGIS Pro. ArcNLET-Py has the following modules: Module 0 for pre-processing the SSURGO database, Module 1 for groundwater flow simulation, Module 2 for particle tracking, Module 3 for a Vadose Zone MODel (VZMOD), Module 4 for nitrogen reactive transport modeling, and Module 5 for estimating nitrogen load to groundwater and surface waterbodies. The nitrogen reactions considered in Module 3 and Module 4 include ammonium sorption, ammonium nitrification, and nitrate denitrification in the flow path from OSTDS to surface waterbodies. As a newly introduced module, Module 0 streamlines the preparation of soil data from the SSURGO database, thereby enhancing the ease of use of ArcNLET-Py. An example of using ArcNLET-Py is presented for estimating nitrogen load in the Lakeshore neighborhood of Jacksonville, Florida. This work demonstrates the feasibility of developing complex pollution assessment software in the Python environment of ArcGIS Pro and holds implications for water environment protection.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001870/pdfft?md5=103d04e08eb0d6850cb1fd1e254c9bc6&pid=1-s2.0-S2352711024001870-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623636","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

ORCh: A package to reduce and optimize chemical kinetics. Application to tetrafluoromethane oxidation ORCh：减少和优化化学动力学的软件包。在四氟甲烷氧化中的应用

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-16 DOI: 10.1016/j.softx.2024.101819

{"title":"ORCh: A package to reduce and optimize chemical kinetics. Application to tetrafluoromethane oxidation","authors":"","doi":"10.1016/j.softx.2024.101819","DOIUrl":"10.1016/j.softx.2024.101819","url":null,"abstract":"<div><p>ORCh is a set of C++ routines to analyze the response of detailed chemical kinetics and determine the most influential species and elementary reactions for given operating conditions. The objective is to reduce the number of degrees of freedom to be solved in fluid mechanics simulations while still capturing most of the reactive flow physics. From a detailed chemical kinetics, ORCh returns a set of reduced chemical schemes of decreasing complexity. ORCh operates either from canonical laminar diffusion–reaction problems, such as one-dimensional premixed and diffusion flames, or turbulent/chemistry interaction models through the evolution of stochastic particles. The initial conditions of these canonical problems are representative of the inlets of the reactive flow system under study. In case of a significant reduction of the number of degrees of freedom, the control parameters of the reduced chemistry can be further optimized from a genetic algorithm to still match the reference detailed chemistry response. An illustrative application to tetrafluoromethane oxidation chemistry is discussed.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001900/pdfft?md5=54edfa187734e7590f4e4d19ef6db1e9&pid=1-s2.0-S2352711024001900-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141623637","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

GDPR consent management and automated compliance verification tool GDPR 同意管理和自动合规性验证工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-15 DOI: 10.1016/j.softx.2024.101821

引用次数: 0

GγSANDnet: A neural network tool for prediction of shear stiffness (G) shear strain (γ) relationship for sands GγSANDnet：预测砂的剪切刚度（G）和剪切应变（γ）关系的神经网络工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-13 DOI: 10.1016/j.softx.2024.101823

Jared Charles, Susan Gourvenec

引用次数: 0

EDACFEM: A linear truss and beam solver in MATLAB EDACFEM：MATLAB 中的线性桁架和梁求解器

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-13 DOI: 10.1016/j.softx.2024.101817

Joël N. Chapuis , Marc Wirth , Andreas Walker , Jonas Schwarz , Thomas S. Lumpe , Tian Chen , Tino Stanković

{"title":"EDACFEM: A linear truss and beam solver in MATLAB","authors":"Joël N. Chapuis , Marc Wirth , Andreas Walker , Jonas Schwarz , Thomas S. Lumpe , Tian Chen , Tino Stanković","doi":"10.1016/j.softx.2024.101817","DOIUrl":"https://doi.org/10.1016/j.softx.2024.101817","url":null,"abstract":"<div><p>The on-demand design of metamaterials such as lattices and bar structures is typically approached using computational methods due to their inherent complexity. An indispensable element of structural design is a reliable and easy to use FE simulation environment, which in turn not only benefits the design of underlying structures, but also, through easy customization and integration, propels the design of computational methods themselves. In response, this work provides a linear truss and beam FE simulation environment written in MATLAB. The simulation environment supports linear truss elements, Euler-Bernoulli besam elements, and Timoshenko beam elements. It further supports the introduction of self-weight and local truss buckling analysis. A variety of input methods are supported, these are specifically tailored towards simplifying the integration of the FE simulation environment in numerical optimization schemes. With this environment, researchers and design practitioners can easily simulate the mechanical response of complex bar structures without the need for interfacing with commercial FE software through cumbersome Application Programming Interfaces (APIs).</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001882/pdfft?md5=375a015c31c6d46d8a22bb76d7efdc22&pid=1-s2.0-S2352711024001882-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141605112","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

A deep-learning-based workflow for reconstructing and segmenting challenging sets of time-resolved X-ray micro-computed tomography data 基于深度学习的工作流程，用于重建和分割具有挑战性的时间分辨 X 射线显微计算机断层扫描数据集

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-13 DOI: 10.1016/j.softx.2024.101796

Samuel Waldner, Jörg Huwyler, Maxim Puchkov

引用次数: 0

HyperQueue: Efficient and ergonomic task graphs on HPC clusters 超级队列高性能计算集群上高效且符合人体工程学的任务图

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-11 DOI: 10.1016/j.softx.2024.101814

Jakub Beránek , Ada Böhm , Gianluca Palermo , Jan Martinovič , Branislav Jansík

{"title":"HyperQueue: Efficient and ergonomic task graphs on HPC clusters","authors":"Jakub Beránek , Ada Böhm , Gianluca Palermo , Jan Martinovič , Branislav Jansík","doi":"10.1016/j.softx.2024.101814","DOIUrl":"https://doi.org/10.1016/j.softx.2024.101814","url":null,"abstract":"<div><p>Task graphs are a popular method for defining complex scientific simulations and experiments that run on distributed and HPC (High-performance computing) clusters, because they allow their authors to focus on the problem domain, instead of low-level communication between nodes, and also enable quick prototyping. However, executing task graphs on HPC clusters can be problematic in the presence of allocation managers like PBS or Slurm, which are not designed for executing a large number of potentially short-lived tasks with dependencies. To make task graph execution on HPC clusters more efficient and ergonomic, we have created <span>HyperQueue</span>, an open-source task graph execution runtime tailored for HPC use-cases. It enables the execution of large task graphs on top of an allocation manager by aggregating tasks into a smaller amount of PBS/Slurm allocations and dynamically load balances tasks amongst all available nodes. It can also automatically submit allocations on behalf of the user, it supports arbitrary task resource requirements and heterogeneous HPC clusters, it is trivial to deploy and does not require elevated privileges.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001857/pdfft?md5=4836c8d57801c1298552fd41cc44289b&pid=1-s2.0-S2352711024001857-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141593294","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

MicEMD: Open-source toolbox for electromagnetic modeling, inversion, and classification in underground metal target detection MicEMD：地下金属目标探测电磁建模、反演和分类的开源工具箱

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-10 DOI: 10.1016/j.softx.2024.101812

Xiaofen Wang , Haodong Shi , Xiaotong Zhang , Yadong Wan , Peng Wang

{"title":"MicEMD: Open-source toolbox for electromagnetic modeling, inversion, and classification in underground metal target detection","authors":"Xiaofen Wang , Haodong Shi , Xiaotong Zhang , Yadong Wan , Peng Wang","doi":"10.1016/j.softx.2024.101812","DOIUrl":"https://doi.org/10.1016/j.softx.2024.101812","url":null,"abstract":"<div><p>The development and improvement of electromagnetic underground metal target detection methods can be implemented by a framework that is experimental supporting, modular, and extensible. In this paper, we organize the components of electromagnetic underground metal target detection in a comprehensive, modular, and extensible framework. Furthermore, we present an open-source toolbox in Python called MicEMD (Modeling, Inversion, and Classification in ElectroMagnetic Detection, <span>https://github.com/UndergroundDetection/MICEMD</span><svg><path></path></svg>). The graphical user interface (GUI) and the library with a Python application programming interface (API) are contained in MicEMD. Included in MicEMD are staggered frequency-domain and time-domain electromagnetic forward modeling, least-squares inversion, and data-based classification methods at present. MicEMD’s capabilities are presented by two synthetic case studies. The first example shows the application of frequency-domain inversion. The second example shows the application of time-domain classification. It is anticipated that MicEMD offers a flexible tool in electromagnetic underground metal target detection.</p></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":null,"pages":null},"PeriodicalIF":2.4,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2352711024001833/pdfft?md5=329119e458c2ffd495c32eaac52a402f&pid=1-s2.0-S2352711024001833-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141593292","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

ABMTrafSimCA: An agent-based modelling open-source software tool for traffic modelling and simulation based on cellular automata ABMTrafSimCA：基于细胞自动机的交通建模和仿真的代理建模开源软件工具

IF 2.4 4区计算机科学

SoftwareX Pub Date : 2024-07-10 DOI: 10.1016/j.softx.2024.101813

Patryk Górka, Krzysztof Małecki

引用次数: 0