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Software Impacts最新文献

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RouteRecoverer: A tool to create routes and recover noisy license plate number data 路由恢复器用于创建路线和恢复噪声车牌号码数据的工具
IF 2.1
Software Impacts Pub Date : 2024-03-28 DOI: 10.1016/j.simpa.2024.100636
Alberto Durán-López , Daniel Bolaños-Martinez , Luisa Delgado-Márquez , Maria Bermudez-Edo
{"title":"RouteRecoverer: A tool to create routes and recover noisy license plate number data","authors":"Alberto Durán-López ,&nbsp;Daniel Bolaños-Martinez ,&nbsp;Luisa Delgado-Márquez ,&nbsp;Maria Bermudez-Edo","doi":"10.1016/j.simpa.2024.100636","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100636","url":null,"abstract":"<div><p>License Plate Recognition (LPR) sensors often fail to detect vehicles or to identify all plate numbers correctly. This noise results in missing digits or an incomplete route of a vehicle, for example, missing one node (LPR camera) in the route. Addressing these issues, RouteRecoverer creates the route followed by a vehicle while efficiently recovering absent LPR plate digits, and filling gaps in routes. For example, when a vehicle is detected by LPR A and C, with the only route between them being B, our tool seamlessly retrieves the missing information, improving the data output.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000241/pdfft?md5=e306abe4e84fdb1089a0d95afe7b85ce&pid=1-s2.0-S2665963824000241-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140344003","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
SPHMPS 1.0: A Smoothed-Particle-Hydrodynamics Multi-Physics Solver SPHMPS 1.0：平滑粒子流体力学多物理场求解器
IF 2.1
Software Impacts Pub Date : 2024-03-28 DOI: 10.1016/j.simpa.2024.100640
Iman Farahbakhsh , Benyamin Barani Nia , Erkan Oterkus
{"title":"SPHMPS 1.0: A Smoothed-Particle-Hydrodynamics Multi-Physics Solver","authors":"Iman Farahbakhsh ,&nbsp;Benyamin Barani Nia ,&nbsp;Erkan Oterkus","doi":"10.1016/j.simpa.2024.100640","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100640","url":null,"abstract":"<div><p><span>SPHMPS 1.0</span>, developed within a Lagrangian framework, offers a robust solution for modeling multi-structure collision problems involving large plastic deformation and inherent thermal effects. Utilizing its innovative algorithm, <span>SPHMPS 1.0</span> emerges as a versatile tool for researchers in the field of fluid-rigid-elastic structure interactions. By providing a comprehensive framework tailored to address these complex phenomena, <span>SPHMPS 1.0</span> facilitates reproducible, extendable, and efficient research endeavors. Implemented in Fortran, its flexible algorithm ensures adaptability to a wide range of applications requiring solutions for fluid-rigid-elastic structure interaction problems.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000289/pdfft?md5=ac912c805094a33ebeadeadf162d6861&pid=1-s2.0-S2665963824000289-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140344004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking LATTIN：基于 Python 的拉格朗日大气湿热跟踪工具
IF 2.1
Software Impacts Pub Date : 2024-03-28 DOI: 10.1016/j.simpa.2024.100638
Albenis Pérez-Alarcón , José C. Fernández-Alvarez , Raquel Nieto , Luis Gimeno
{"title":"LATTIN: A Python-based tool for Lagrangian atmospheric moisture and heat tracking","authors":"Albenis Pérez-Alarcón ,&nbsp;José C. Fernández-Alvarez ,&nbsp;Raquel Nieto ,&nbsp;Luis Gimeno","doi":"10.1016/j.simpa.2024.100638","DOIUrl":"10.1016/j.simpa.2024.100638","url":null,"abstract":"<div><p>LATTIN is a Python-based tool for Lagrangian atmospheric moisture and heat tracking. It can read input data from the Lagrangian FLEXPART and FLEXPART-WRF models. Features include parallel reading of atmospheric parcel trajectories and user custom threshold criteria. It complements and improves existing tools by including several tracking approaches and also by its non-dependence on the horizontal resolution of the input or output grid. LATTIN provides a compact tool for Lagrangian atmospheric moisture and heat tracking, which will support a wide range of research to understand future changes in the hydrological cycle and extreme temperature events.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000265/pdfft?md5=ae93a9af43608c43d7657b057f462988&pid=1-s2.0-S2665963824000265-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140404766","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
FinTDA: Python package for estimating market change through persistent homology diagrams FinTDA：通过持久同构图估算市场变化的 Python 软件包
IF 2.1
Software Impacts Pub Date : 2024-03-28 DOI: 10.1016/j.simpa.2024.100637
Hugo Gobato Souto , Ismail Baris , Storm Koert Heuvel , Amir Moradi
{"title":"FinTDA: Python package for estimating market change through persistent homology diagrams","authors":"Hugo Gobato Souto ,&nbsp;Ismail Baris ,&nbsp;Storm Koert Heuvel ,&nbsp;Amir Moradi","doi":"10.1016/j.simpa.2024.100637","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100637","url":null,"abstract":"<div><p>This paper presents a user-friendly version of Persistent Homology (PH) graph code to model financial market structures and changes. By leveraging Topological Data Analysis (TDA), the code offers an effective approach for analyzing high-dimensional stock data, enabling the identification of persistent topological features indicative of market changes. The code’s potential applications in financial stability prediction, investment strategy development, and educational advancement are discussed. This contribution aims to facilitate the adoption of PH techniques in finance, promising significant implications for academic research and practical market analysis.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000253/pdfft?md5=b5e5b1e3f98db2a5510af1445206fc0c&pid=1-s2.0-S2665963824000253-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140346819","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Wasserstein distance loss function for financial time series deep learning 用于金融时间序列深度学习的瓦瑟斯坦距离损失函数
IF 2.1
Software Impacts Pub Date : 2024-03-27 DOI: 10.1016/j.simpa.2024.100639
Hugo Gobato Souto, Amir Moradi
{"title":"Wasserstein distance loss function for financial time series deep learning","authors":"Hugo Gobato Souto,&nbsp;Amir Moradi","doi":"10.1016/j.simpa.2024.100639","DOIUrl":"10.1016/j.simpa.2024.100639","url":null,"abstract":"<div><p>This paper presents user-friendly code for the implementation of a loss function for neural network time series models that exploits the topological structures of financial data. By leveraging the recently-discovered presence of topological features present in financial time series data, the code offers a more effective approach for creating forecasting models for such data given the fact that it allows neural network models to not only learn temporal patterns of the data, but also topological patterns. This paper aims to facilitate the adoption of the loss function proposed by Souto and Moradi (2024a) in financial time series by practitioners and researchers.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000277/pdfft?md5=eb86aef4201b8909e13d426764a1aa6a&pid=1-s2.0-S2665963824000277-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140405601","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
GraphIdx: An efficient indexing technique for accelerating graph data mining GraphIdx：加速图数据挖掘的高效索引技术
IF 2.1
Software Impacts Pub Date : 2024-03-25 DOI: 10.1016/j.simpa.2024.100632
Mostofa Kamal Rasel, Mohammad Rezwanul Huq, Mohammad Arifuzzaman
{"title":"GraphIdx: An efficient indexing technique for accelerating graph data mining","authors":"Mostofa Kamal Rasel,&nbsp;Mohammad Rezwanul Huq,&nbsp;Mohammad Arifuzzaman","doi":"10.1016/j.simpa.2024.100632","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100632","url":null,"abstract":"<div><p>Many graph mining algorithms process large graphs with several passes and suffers from huge I/O cost. GraphIdx, an open-source C library, facilitates a memory-efficient indexing of large graphs to reduce that I/O cost. GraphIdx indexes a block of graph data for a set of nodes based on the empirical evaluation of edges. Due to the indexed graph, graph mining algorithms can access and process only the related nodes and their edges instead of scanning entire graph. As a result, the number of I/Os is significantly reduced. Moreover, GraphIdx accredited algorithms can process graphs in parallel due to the indexed data.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000204/pdfft?md5=1f5c30286b7c1be0b0b30cc7644c0f53&pid=1-s2.0-S2665963824000204-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140308998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ECA, a Python tool to study the evolution of life 研究生命进化的 Python 工具 ECA
IF 2.1
Software Impacts Pub Date : 2024-03-24 DOI: 10.1016/j.simpa.2024.100633
Javier Falgueras-Cano , Juan-Antonio Falgueras-Cano , Andrés Moya
{"title":"ECA, a Python tool to study the evolution of life","authors":"Javier Falgueras-Cano ,&nbsp;Juan-Antonio Falgueras-Cano ,&nbsp;Andrés Moya","doi":"10.1016/j.simpa.2024.100633","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100633","url":null,"abstract":"<div><p>We present a computer program called <em>Evolutionary Cellular Automaton</em> (<em>ECA</em>) in <em>Python</em>, which simulates in silico, in the simplest form found, all the known processes and mechanisms underlying natural selection. Mathematical and statistical functions condition the dynamics of real populations, through variables that in each habitat and in each organism acquire a specific parameter. In <em>ECA</em>, we have simplified these variables by working with mean and standard values and by simplifying the interactions between species in such a way that the mechanisms underlying natural selection also work in <em>ECA</em>, but in a digital environment under controlled and reproducible conditions.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000216/pdfft?md5=eae27a097c93f6c1bf4b338d9ef603d9&pid=1-s2.0-S2665963824000216-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140320567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PyMLDA: A Python open-source code for Machine Learning Damage Assessment PyMLDA：用于机器学习损害评估的 Python 开源代码
IF 2.1
Software Impacts Pub Date : 2024-03-01 DOI: 10.1016/j.simpa.2024.100628
Jefferson da Silva Coelho , Marcela Rodrigues Machado , Amanda Aryda S.R. de Sousa
{"title":"PyMLDA: A Python open-source code for Machine Learning Damage Assessment","authors":"Jefferson da Silva Coelho ,&nbsp;Marcela Rodrigues Machado ,&nbsp;Amanda Aryda S.R. de Sousa","doi":"10.1016/j.simpa.2024.100628","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100628","url":null,"abstract":"<div><p>The PyMLDA-Machine Learning for Damage Assessment is an open-source software developed for damage pattern recognition, detection, and quantification that uses the system’s vibration signatures as input. The software automatically evaluates the structure or system integrity by detecting and assessing structural damage by combining supervised, unsupervised, and regression Machine Learning (ML) algorithms. It employs different damage index techniques based on the system’s dynamic response, such as natural or frequency response frequency, to normalise the dataset input of the software. The classification ML route effectively identifies and categorises the damage, even when the integrity condition of the structure is unknown. The regression algorithm quantifies the damage levels, considering the uncertainty quantification in the estimation. The PyMLDA employs a range of validation and cross-validation metrics to evaluate the effectiveness and accuracy of these ML algorithms in detecting and diagnosing structural damage.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000162/pdfft?md5=e20a621814e0f96019555ed5be948ce2&pid=1-s2.0-S2665963824000162-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140066918","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Governify. An agreement-based service governance framework Governify。基于协议的服务治理框架
IF 2.1
Software Impacts Pub Date : 2024-03-01 DOI: 10.1016/j.simpa.2024.100629
Rafael Fresno-Aranda, Juan Sebastian Ojeda-Perez, Pablo Fernandez, Antonio Ruiz-Cortes
{"title":"Governify. An agreement-based service governance framework","authors":"Rafael Fresno-Aranda,&nbsp;Juan Sebastian Ojeda-Perez,&nbsp;Pablo Fernandez,&nbsp;Antonio Ruiz-Cortes","doi":"10.1016/j.simpa.2024.100629","DOIUrl":"10.1016/j.simpa.2024.100629","url":null,"abstract":"<div><p>Governify is a service governance framework designed to enhance service operation by providing automated audit capabilities. It enables the creation of customized microservice architectures to fit various domains. This framework has been applied in real scenarios in both Industry and Academy where it has served researchers and practitioners in service governance as both a visual analytic tool and a test bed for experiments. Governify has proved its ability to gather insights into potential risks tied to noncompliance and to design and monitor best practices in forms of agreements.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000174/pdfft?md5=bc418857fa2b55b9efb8cd594afdb8b3&pid=1-s2.0-S2665963824000174-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139966897","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dental loop signals: Image-to-signal processing for mandibular electromyography 牙环信号：下颌肌电图的图像信号处理
IF 2.1
Software Impacts Pub Date : 2024-02-23 DOI: 10.1016/j.simpa.2024.100631
Taseef Hasan Farook, Tashreque Mohammed Haq, James Dudley
{"title":"Dental loop signals: Image-to-signal processing for mandibular electromyography","authors":"Taseef Hasan Farook,&nbsp;Tashreque Mohammed Haq,&nbsp;James Dudley","doi":"10.1016/j.simpa.2024.100631","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100631","url":null,"abstract":"<div><p>Dental Loop Signals (DLS) offers a unique approach to biomedical signal-processing, employing deep learning to convert archived images of mandibular muscle activity during dynamic functions into signal data. DLS, processed through unsupervised learning, introduces a cluster-centric signal processing method, enhancing data normalisation for broad applicability. The modular design of the software facilitates customisable use in Temporomandibular Joint (TMJ) and orthopaedic clinics for long-term patient follow-ups and retrospective research. The software’s robustness increases with a larger dataset of electromyographic muscle activities, promising versatility across devices, clinics, and timeframes.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000198/pdfft?md5=678cf265e992dc2f7016dec195bebc9e&pid=1-s2.0-S2665963824000198-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139985169","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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