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SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning SSFCM-FWCW：基于特征-权值和聚类-权值学习的半监督模糊 C-Means 方法
IF 1.3
Software Impacts Pub Date : 2024-06-28 DOI: 10.1016/j.simpa.2024.100678
Amin Golzari Oskouei , Negin Samadi , Jafar Tanha , Asgarali Bouyer
{"title":"SSFCM-FWCW: Semi-Supervised Fuzzy C-Means method based on Feature-Weight and Cluster-Weight learning","authors":"Amin Golzari Oskouei ,&nbsp;Negin Samadi ,&nbsp;Jafar Tanha ,&nbsp;Asgarali Bouyer","doi":"10.1016/j.simpa.2024.100678","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100678","url":null,"abstract":"<div><p>SSFCM-FWCW (Feature-Weight and Cluster-Weight based Semi-Supervised Fuzzy <em>C</em>-Means) is a soft clustering method. It incorporates supplementary label information to enhance the clustering quality. An adaptive local feature weighting technique is utilized to weight features based on their significance within specific clusters. Additionally, an adaptive weighting technique is applied to diminish the sensitivity to the initial center selection, effectively distinguishing between the effects of various clusters. The conjunction of label information and adaptive weighting results in an optimal fuzzy <em>c</em>-means clustering with an insight into the importance of individual features and clusters. An open-source Matlab implementation of SSFCM-FWCW is available.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000666/pdfft?md5=ef848f90365139295625e2a7b7f9c617&pid=1-s2.0-S2665963824000666-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141583244","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
BERLib: A Basic Encoding Rules implementation BERLib：基本编码规则实施
IF 1.3
Software Impacts Pub Date : 2024-06-28 DOI: 10.1016/j.simpa.2024.100677
Valentin Stangaciu, Cristina Stangaciu
{"title":"BERLib: A Basic Encoding Rules implementation","authors":"Valentin Stangaciu,&nbsp;Cristina Stangaciu","doi":"10.1016/j.simpa.2024.100677","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100677","url":null,"abstract":"<div><p>In this paper we present a Basic Encoding Rules library implemented in three programming languages (C, C++ and C#) that offers encoding and decoding of data types in order to be used in serialization and deserialization processes in communication protocols. The implementation is consistent with the currently active standards and it offers a great degree of scalability. BERLib is also highly documented and significant examples are provided for all the programming languages used. Our work qualifies as an ideal solution for providing data encoding and decoding in communication protocol design especially for Wireless Sensor Networks and Internet of Things.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000654/pdfft?md5=5f6665f7d053a67133c569f470299bea&pid=1-s2.0-S2665963824000654-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141483955","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
Accelerating Euler characteristic analysis: A multiprocessing approach with Octo-Voxel patterns and discrete chunk extraction 加速欧拉特征分析：采用八象素模式和离散块提取的多处理方法
IF 1.3
Software Impacts Pub Date : 2024-06-25 DOI: 10.1016/j.simpa.2024.100671
César Eduardo Muñoz-Chávez, Hermilo Sánchez-Cruz
{"title":"Accelerating Euler characteristic analysis: A multiprocessing approach with Octo-Voxel patterns and discrete chunk extraction","authors":"César Eduardo Muñoz-Chávez,&nbsp;Hermilo Sánchez-Cruz","doi":"10.1016/j.simpa.2024.100671","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100671","url":null,"abstract":"<div><p>We present a new library designed to simplify the analysis of Euler characteristics. This program addresses the difficulties involved in generating 3D test objects and the complexities of extracting Octo-Voxel patterns. The library uses a novel method to rapidly generate data and extract descriptors by using effective multiprocessing. Furthermore, we have developed a method for extracting discrete CHUNKS from an image, allowing for separate multiprocessing assessment. This method accelerates the process of combination extraction and offers researchers a quick and effective way to explore Euler characteristics in a variety of applications.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000599/pdfft?md5=947dfb785ac6c9fcb9f3d29a82469100&pid=1-s2.0-S2665963824000599-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539341","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
deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks deforce：优化级联前向神经网络的无衍生算法
IF 1.3
Software Impacts Pub Date : 2024-06-25 DOI: 10.1016/j.simpa.2024.100675
Nguyen Van Thieu , Hoang Nguyen , Harish Garg , Gia Sirbiladze
{"title":"deforce: Derivative-free algorithms for optimizing Cascade Forward Neural Networks","authors":"Nguyen Van Thieu ,&nbsp;Hoang Nguyen ,&nbsp;Harish Garg ,&nbsp;Gia Sirbiladze","doi":"10.1016/j.simpa.2024.100675","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100675","url":null,"abstract":"<div><p>This paper aims to introduce the ‘deforce’ framework, an open-source Python library constituted on top of Numpy, Scikit-Learn, PyTorch, and Mealpy. This framework provides hybrid models that combine derivative-free techniques with Cascade Forward Neural Networks (CFNNs). By inheriting from scikit-learn’s estimator, deforce’s models ensure easy integration into existing machine learning pipelines. It also has many advantages, including a simple installation process, a user-friendly interface, and adaptability to various user requirements. For researchers and practitioners looking to improve CFNN performance with minimal implementation effort, deforce offers a useful and approachable option.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000630/pdfft?md5=65a0ecd3b6d6b97c16b43bca024a7fcc&pid=1-s2.0-S2665963824000630-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141539342","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
SRcdFuzzy: Software for simulating adaptive regulatory controllers of cyclical disturbances with frequency variations estimated from fuzzy logic SRcdFuzzy：模拟根据模糊逻辑估算频率变化的周期性干扰自适应调节控制器的软件
IF 1.3
Software Impacts Pub Date : 2024-06-24 DOI: 10.1016/j.simpa.2024.100672
Rogério P. Pereira , Eduardo J.F. Andrade , José L.F. Salles , Carlos T. Valadão , Ravena S. Monteiro , Gustavo Maia de Almeida , Marco A.S.L. Cuadros , Teodiano F. Bastos-Filho
{"title":"SRcdFuzzy: Software for simulating adaptive regulatory controllers of cyclical disturbances with frequency variations estimated from fuzzy logic","authors":"Rogério P. Pereira ,&nbsp;Eduardo J.F. Andrade ,&nbsp;José L.F. Salles ,&nbsp;Carlos T. Valadão ,&nbsp;Ravena S. Monteiro ,&nbsp;Gustavo Maia de Almeida ,&nbsp;Marco A.S.L. Cuadros ,&nbsp;Teodiano F. Bastos-Filho","doi":"10.1016/j.simpa.2024.100672","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100672","url":null,"abstract":"<div><p>This article introduces SRcdFuzzy, a MATLAB-based software designed to simulate two controllers: the Adaptive Fuzzy Iterative Learning Controller (AF-ILC) and the Adaptive Fuzzy Repetitive Generalized Predictive Controller (AFR-GPC). These controllers, as proposed in a companion paper [7], aim to minimize cyclical disturbances with small frequency range variations commonly encountered in industrial process control loops. They utilize fuzzy logic to estimate the disturbance cycle, employing rules based on past values of the integral of the absolute error between the setpoint and output. The estimated disturbance cycle period is then communicated to the regulatory controllers, guiding specific control actions to mitigate oscillations in the process output. Furthermore, each controller includes a dedicated interface, offering testing options for various scenarios, including disturbances with different frequencies.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000605/pdfft?md5=76dcbb2f5209a3409e552b1814266a7f&pid=1-s2.0-S2665963824000605-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141583246","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
ODBP: Modern data processing for additive manufacturing thermal models in Abaqus ODBP：在 Abaqus 中对增材制造热模型进行现代数据处理
IF 1.3
Software Impacts Pub Date : 2024-06-22 DOI: 10.1016/j.simpa.2024.100676
Clark Hensley , J. Logan Betts , Chuyen Nguyen , Matthew W. Priddy
{"title":"ODBP: Modern data processing for additive manufacturing thermal models in Abaqus","authors":"Clark Hensley ,&nbsp;J. Logan Betts ,&nbsp;Chuyen Nguyen ,&nbsp;Matthew W. Priddy","doi":"10.1016/j.simpa.2024.100676","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100676","url":null,"abstract":"<div><p>ODBP is a novel tool for interfacing with the Abaqus .odb file format for metal-based additive manufacturing (AM), transferring the data to the open source .hdf5 format, providing both modern data visualization methods and multi-core, high performance capabilities for data manipulation. Abaqus is a commercially-available software for performing finite element analysis (FEA), which generates substantial datasets, stored in the proprietary .odb file format. FEA is used to model the thermal and mechanical response resulting from deposition during the wire-arc directed energy deposition (arc-DED) process, an AM process. ODBP focuses on providing a more robust and efficient interface to .odb data than Abaqus.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000642/pdfft?md5=9bbffb1973f3d21d9e421c3a09d317f7&pid=1-s2.0-S2665963824000642-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141483954","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
EBLT — Blueprints testing library using fuzz testing EBLT - 使用模糊测试的蓝图测试库
IF 1.3
Software Impacts Pub Date : 2024-06-19 DOI: 10.1016/j.simpa.2024.100674
Ciprian Păduraru , Rareș Cristea , Alin Stefanescu
{"title":"EBLT — Blueprints testing library using fuzz testing","authors":"Ciprian Păduraru ,&nbsp;Rareș Cristea ,&nbsp;Alin Stefanescu","doi":"10.1016/j.simpa.2024.100674","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100674","url":null,"abstract":"<div><p>Low-code and no-code paradigms are accessible, but lack mature testing methods. This gap needs to be addressed as such applications provide a way for stakeholders to interact with or define the requirements of applications in video games, digital twins, and simulations. Blueprints are an example of this paradigm, enabling a visual definition of functionality or requirements. We proposed an open-source tool that uses fuzz testing and applied it to Unreal Engine blueprints. Tests triggered by stakeholder changes are automatically generated, offering support for tuning parameters and optimizing testing time.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000629/pdfft?md5=387f7aef32ce36596fc145a8e23008ad&pid=1-s2.0-S2665963824000629-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141483953","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
StoX: Stochastic multistage recruitment model for seed dispersal effectiveness StoX：种子传播效果的随机多阶段招募模型
IF 1.3
Software Impacts Pub Date : 2024-06-14 DOI: 10.1016/j.simpa.2024.100673
Julio Martín-Herrero , María Calviño-Cancela
{"title":"StoX: Stochastic multistage recruitment model for seed dispersal effectiveness","authors":"Julio Martín-Herrero ,&nbsp;María Calviño-Cancela","doi":"10.1016/j.simpa.2024.100673","DOIUrl":"10.1016/j.simpa.2024.100673","url":null,"abstract":"<div><p>Seed dispersal effectiveness measures the number of new plants effectively produced by the services of seed disperser agents. This depends on a complex process involving multiple stages and actors, and has profound implications for conservation. StoX is a distribution agnostic multistage stochastic model that differentiates among dispersers in their contribution to seed rain and recruitment. It can be parameterized with quantity and quality components of dispersal measured in the field. It preserves the inherent stochastic nature of the recruitment process and can be validated by statistical comparison between its predictions and recruitment patterns in the field. StoX has already been used in several successful studies, at both population and community levels.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000617/pdfft?md5=9fd36c2e294a0983ef1b6080e174f371&pid=1-s2.0-S2665963824000617-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141406952","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
Sub-voxel based finite element modelling of fibre-reinforced composites 基于亚体素的纤维增强复合材料有限元建模
IF 2.1
Software Impacts Pub Date : 2024-06-07 DOI: 10.1016/j.simpa.2024.100668
Robert M. Auenhammer , Carolyn Oddy , Jisoo Kim , Lars P. Mikkelsen
{"title":"Sub-voxel based finite element modelling of fibre-reinforced composites","authors":"Robert M. Auenhammer ,&nbsp;Carolyn Oddy ,&nbsp;Jisoo Kim ,&nbsp;Lars P. Mikkelsen","doi":"10.1016/j.simpa.2024.100668","DOIUrl":"10.1016/j.simpa.2024.100668","url":null,"abstract":"<div><p>For fibre-reinforced composites, most of their mechanical properties is tied to the fibre scale. Thus, imaging-based characterisation demands resolving fibres to characterise these materials accurately. However, high resolutions limit the field of view and lead to lengthy acquisition times. Emerging non-destructive imaging technologies and algorithms now accurately provide fibre orientations without detecting individual fibres. Studies show that voxel sizes up to fifteen times the fibre diameter are feasible, still allowing accurate tensile modulus predictions. Our presented software incorporates sub-voxel fibre orientation distributions using ultra-low-resolution three-dimensional X-ray tomography data in a numerical model, providing an effective method for characterising these materials.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":2.1,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000563/pdfft?md5=eee17d9ca87024d7732bf38424b4ffac&pid=1-s2.0-S2665963824000563-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141397066","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
Systematic literature review: References extraction helper and automatic analysis 系统文献回顾：参考文献提取助手和自动分析
IF 1.3
Software Impacts Pub Date : 2024-06-07 DOI: 10.1016/j.simpa.2024.100669
Benjamin Vignau, Patrice Clemente, Pascal Berthomé
{"title":"Systematic literature review: References extraction helper and automatic analysis","authors":"Benjamin Vignau,&nbsp;Patrice Clemente,&nbsp;Pascal Berthomé","doi":"10.1016/j.simpa.2024.100669","DOIUrl":"https://doi.org/10.1016/j.simpa.2024.100669","url":null,"abstract":"<div><p>This article describes a software suite designed for systematic and automatic literature reviews. Actually, we used these tools to help us build our systematic literature review on our research topic: biometric authentication using PPG (photoplethysmography). However, our tools can be easily applied (and have been applied) to other fields, whether scientific (state of the art) or technological (technology watch). Our software suite is made of two softwares. The first one helps to extract, merge and filter all the references in the <span>pdf</span> file versions of the papers. The second one helps to make statistical analysis on the dataset created for the SLR.</p></div>","PeriodicalId":29771,"journal":{"name":"Software Impacts","volume":null,"pages":null},"PeriodicalIF":1.3,"publicationDate":"2024-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2665963824000575/pdfft?md5=39d889f2a29f953276170aed8328883a&pid=1-s2.0-S2665963824000575-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141433786","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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