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HoughVG:Hough Transform Toolbox for Straight-Line Detection and Fingerprint Recognition HoughVG：用于直线检测和指纹识别的 Hough 变换工具箱
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-10-11 DOI: 10.1016/j.simpa.2024.100709
This paper presents HoughVG (Hough transform on Virtual Grid), a toolbox that improves on the Hough transform method, originally developed in 1962, by optimizing it for straight line detection and fingerprint recognition. Drawing on innovative approaches such as the rectangular, triangular, hexagonal and octagonal Hough transforms, as well as the generalized Hough transform, HoughVG significantly improves detection accuracy and processing speed. The toolbox is designed with a modular architecture, offering both sequential and parallelized functions. HoughVG’s test results indicate its potential impact on various fields, from academic research to industrial applications, while taking into account the limitations associated with pattern detection and parameter tuning.
本文介绍的 HoughVG（虚拟网格上的 Hough 变换）是一个工具箱，它改进了最初于 1962 年开发的 Hough 变换方法，优化了直线检测和指纹识别。HoughVG 利用矩形、三角形、六角形和八角形 Hough 变换以及广义 Hough 变换等创新方法，显著提高了检测精度和处理速度。该工具箱采用模块化架构设计，提供顺序和并行功能。HoughVG 的测试结果表明，它对从学术研究到工业应用的各个领域都具有潜在的影响，同时也考虑到了与模式检测和参数调整相关的局限性。
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引用次数: 0
rXTalkViz: A R package to quantify, visualize, and report carcinogenic footprints of functional pathway cross-talks rXTalkViz：量化、可视化和报告功能通路交叉途径致癌足迹的 R 软件包
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-10-09 DOI: 10.1016/j.simpa.2024.100708
Differential expression analysis of biomarkers followed by the enrichment tests identifies the roles of enriched pathways or functional terms in a univariate manner. Cross-talks among enriched pathways are also key to better deciphering the complexity of tumor micro-environment and underlying mechanisms of its metastasization and/or drug resistance. Here we develop the rXTalkViz R package that facilitates an unmet need for quantifying and producing publication-ready visualization for functional cross-talk in a novel manner. We hypothesize that using rXTalkViz may enhance our understanding of the contribution of functional cross-talks in cancer progression and seamlessly aid further downstream analysis of biomarker.
对生物标志物进行差异表达分析，然后进行富集测试，以单变量方式确定富集通路或功能术语的作用。富集通路之间的交叉对话也是更好地解读肿瘤微环境的复杂性及其转移和/或耐药性潜在机制的关键。在这里，我们开发了 rXTalkViz R 软件包，它以一种新颖的方式满足了量化和制作可发表的功能交叉对话可视化的需求。我们假设，使用 rXTalkViz 可以增强我们对功能性交叉对话在癌症进展中的贡献的理解，并无缝地帮助进一步的生物标记下游分析。
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引用次数: 0
AudioSecure: An open-source code to secure data using interpolation and multi-layering techniques within audio covers 音频安全：利用音频封面插值和多层技术确保数据安全的开源代码
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-10-09 DOI: 10.1016/j.simpa.2024.100707
Data concealment proves to be significantly important when dealing with sensitive information. More effective data hiding methods must be analyzed to counter the threats that pose risks to its security. AudioSecure offers a security measure for concealing data using audio files as covers. It uses linear interpolation and multi-layering techniques to prevent attacks. This software uses Python-based programming to guarantee ease of use and large library selection, allowing scientists to gain valuable technical insights related to audio steganography. It improves the quality of produced stego and increases the capacity of sample spaces.
事实证明，在处理敏感信息时，数据隐藏非常重要。必须分析更有效的数据隐藏方法，以应对对其安全构成的威胁。AudioSecure 提供了一种使用音频文件作为封面来隐藏数据的安全措施。它使用线性插值和多层技术来防止攻击。该软件使用基于 Python 的编程，保证了易用性和大量的库选择，使科学家们能够获得与音频隐写术相关的宝贵技术见解。它提高了生成的隐写质量，增加了采样空间的容量。
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引用次数: 0
HV-Inv: A MATLAB-based graphical tool for the direct and inverse problems of the horizontal-to-vertical spectral ratio under the diffuse field theory HV-Inv：基于 MATLAB 的图形工具，用于解决漫射场理论下水平-垂直光谱比的正反问题
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-10-09 DOI: 10.1016/j.simpa.2024.100706
The relationship between the horizontal-to-vertical spectral ratio of ambient seismic noise and the elastic Green’s function has been established based on the principles of seismic interferometry. We have developed HV-Inv, a software designed in MATLAB for the forward and inverse calculations of the Horizontal-to-Vertical spectral ratio of ambient seismic noise (H/V) under the theory of diffuse fields. HV-Inv features both global and local inversion methods, supporting the simultaneous inversion of Rayleigh and Love wave dispersion curves with H/V. The goal is for it to be an effective tool for passive seismic exploration.
环境地震噪声的水平垂直谱比与弹性格林函数之间的关系是根据地震干涉测量原理建立的。我们用 MATLAB 开发了 HV-Inv 软件，用于在扩散场理论下对环境地震噪声的水平-垂直谱比（H/V）进行正演和反演计算。HV-Inv 具有全局和局部反演方法，支持同时反演具有 H/V 的瑞利波和爱波频散曲线。目标是使其成为被动地震勘探的有效工具。
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引用次数: 0
FEGC 1.0: Flow Energy Gradient Calculator as a toolbox for predicting fluid flow instability initiation locus FEGC 1.0：流动能量梯度计算器作为预测流体流动不稳定性起始位置的工具箱
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-10-05 DOI: 10.1016/j.simpa.2024.100705
The Flow Energy Gradient Calculator (FEGC) is a Fortran-based tool designed to analyze fluid instability by calculating the energy gradient ratio, offering insights into flow stability and identifying loci for instability initiation and chaos. FEGC 1.0 provides a robust algorithm for detailed energy gradient analysis in fluid dynamics, particularly in two-dimensional fields. However, it faces challenges such as limited scalability, lack of a graphical user interface (GUI), and restricted integration with other tools. Future developments will address these limitations, enhancing scalability, adding a GUI, and expanding applicability to three-dimensional flow fields.
流动能量梯度计算器 (FEGC) 是一种基于 Fortran 的工具，旨在通过计算能量梯度比分析流体的不稳定性，从而深入了解流动稳定性并确定不稳定性的起始和混乱位置。FEGC 1.0 为流体动力学中的详细能量梯度分析，特别是二维场中的能量梯度分析提供了一种强大的算法。然而，它也面临着可扩展性有限、缺乏图形用户界面（GUI）以及与其他工具集成受限等挑战。未来的发展将解决这些局限性，提高可扩展性，增加图形用户界面，并将适用范围扩大到三维流场。
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引用次数: 0
Enhanced leaf disease detection: UNet for segmentation and optimized EfficientNet for disease classification 增强叶片病害检测：用于分割的 UNet 和用于病害分类的优化 EfficientNet
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-09-14 DOI: 10.1016/j.simpa.2024.100701
This manuscript delineates the code developed for a published scholarly article aimed at supporting researchers in addressing plant leaf disease detection and classification (PLDC) challenges while evaluating the efficacy of various deep learning models. Furthermore, the research incorporates preprocessing strategies, correlation, segmentation employing the UNet model, feature extraction methods and EfficientNet model. The software model generates graphs such as confusion matrix, ROC curve (Receiver Operating Characteristic), and visual representations of loss and accuracy graphs. The initial research was disseminated in the Multimedia Tools and Applications journal, and the accompanying dataset was also introduced in the Data in Brief journal.
本手稿描述了为一篇已发表的学术文章开发的代码，旨在支持研究人员应对植物叶片病害检测和分类（PLDC）挑战，同时评估各种深度学习模型的功效。此外，该研究还纳入了预处理策略、相关性、采用 UNet 模型的分割、特征提取方法和 EfficientNet 模型。软件模型可生成混淆矩阵、ROC 曲线（Receiver Operating Characteristic）等图形，以及损失和准确率图形的可视化表示。最初的研究成果在《多媒体工具与应用》期刊上发表，随附的数据集也在 《Data in Brief》期刊上介绍。
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引用次数: 0
CALDINTAV: A simple software for dynamic analysis of high-speed railway bridges using the semi-analytical modal method CALDINTAV：采用半解析模态法对高速铁路桥梁进行动态分析的简易软件
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-09-07 DOI: 10.1016/j.simpa.2024.100700

The increasing prevalence of high-speed trains necessitates robust analysis tools to ensure the safety and reliability of railway bridges. This paper presents a user-friendly software application designed for the dynamic analysis of railway bridges subjected to high-speed train loadings. Leveraging the semi-analytical modal method, the software offers a balanced approach that combines computational efficiency with high accuracy. Key features include an intuitive interface, rapid analysis capabilities, and reliable prediction of bridge responses, facilitating design optimization and maintenance planning. This software is poised to become an indispensable tool for structural engineers, researchers, and infrastructure planners.

随着高速列车的日益普及，需要强有力的分析工具来确保铁路桥梁的安全性和可靠性。本文介绍了一款用户友好型应用软件，专门用于对承受高速列车荷载的铁路桥梁进行动态分析。利用半解析模态法，该软件提供了一种兼顾计算效率和高精度的方法。其主要特点包括直观的界面、快速的分析能力和可靠的桥梁响应预测，有助于设计优化和维护规划。该软件有望成为结构工程师、研究人员和基础设施规划人员不可或缺的工具。
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引用次数: 0
FlowTransformer: A flexible python framework for flow-based network data analysis 流量转换器基于流量的网络数据分析的灵活 python 框架
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-09-07 DOI: 10.1016/j.simpa.2024.100702

FlowTransformer is a software framework tailored for building Machine Learning based Network Intrusion Detection Systems (NIDSs) leveraging transformer architectures known for their effectiveness in both NLP and more broadly for handling sequences of data. FlowTransformer is a flexible pipeline composed of a definable dataset definition, efficient preprocessing, and a flexible model construction, supporting different input-encodings, transformer models and classification heads. Furthermore, users can extend the framework by defining their own components. FlowTransformer’s contribution lies in its easy customisation, and ability to leverage transformers to enable enhanced long-term pattern detection, offering cybersecurity researchers and practitioners a valuable tool.

FlowTransformer 是一个软件框架，专为构建基于机器学习的网络入侵检测系统（NIDS）而设计，它利用了在 NLP 和更广泛的数据序列处理方面以高效著称的转换器架构。FlowTransformer 是一个灵活的管道，由可定义的数据集定义、高效的预处理和灵活的模型构建组成，支持不同的输入编码、转换器模型和分类头。此外，用户还可以通过定义自己的组件来扩展该框架。FlowTransformer 的贡献在于它易于定制，并能利用转换器实现增强的长期模式检测，为网络安全研究人员和从业人员提供了一个宝贵的工具。
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引用次数: 0
QF-LCS: Quantum Field Lens Coding Simulator and Game Tool for Strong System State Predictions QF-LCS：用于强系统状态预测的量子场透镜编码模拟器和游戏工具
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-09-04 DOI: 10.1016/j.simpa.2024.100703

A quantum field lens coding simulator (QF-LCS) is presented on a high-level end-user application software run by CLI ⟷ GUI with custom commands input by the user to process, analyze, validate QF-LC algorithm (QF-LCA) datasets in a QF-LC Python game. On the low-level system software, measurement data are acquired from quantum computers. The datasets contain these measurement data, processed and classified according to QF-LCA circuit design and steps determining system states and their prediction. This software, impacts advances made in applied sciences, statistics, law and physics, where data validation of samples including system simulation projecting and predicting events are achieved.

量子场透镜编码模拟器（QF-LCS）是一个高级终端用户应用软件，通过 CLI ⟷ GUI 运行，用户输入自定义命令，在 QF-LC Python 游戏中处理、分析、验证 QF-LC 算法（QF-LCA）数据集。在底层系统软件中，测量数据来自量子计算机。数据集包含这些测量数据，并根据确定系统状态及其预测的 QF-LCA 电路设计和步骤进行处理和分类。该软件对应用科学、统计学、法学和物理学的进步产生了影响，实现了包括系统模拟预测事件在内的样本数据验证。
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引用次数: 0
Assessing and improving the quality of Fortran code in scientific software: FortranAnalyser 评估和改进科学软件中 Fortran 代码的质量：FortranAnalyser
IF 1.3 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Software Impacts
Pub Date : 2024-09-01 DOI: 10.1016/j.simpa.2024.100692

Despite its age, Fortran remains essential in many scientific fields. Ensuring code quality in long-term projects with evolving standards is critical, but few tools analyse Fortran, and they are not free. We present FortranAnalyser, a multi-platform, static analysis tool designed to enhance Fortran code quality. This paper outlines its development, features, and comparison with other tools. Additionally, we demonstrate its effectiveness through real-world applications, such as improving the Fortran code in a major global climate model.

尽管年代久远，Fortran 仍然是许多科学领域必不可少的工具。在标准不断发展的长期项目中，确保代码质量至关重要，但分析 Fortran 的工具却很少，而且还不是免费的。我们推出的 FortranAnalyser 是一款多平台静态分析工具，旨在提高 Fortran 代码质量。本文概述了它的开发、功能以及与其他工具的比较。此外，我们还通过实际应用证明了它的有效性，例如改进了一个主要全球气候模型中的 Fortran 代码。
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引用次数: 0
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