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DangerDet: A mobile application-based danger detection platform for women and children using deep learning DangerDet：利用深度学习为妇女和儿童提供基于移动应用的危险检测平台
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-26 DOI: 10.1016/j.softx.2024.101983
Md. Ashikuzzaman, Abdul Aziz, Awal Ahmed Fime
{"title":"DangerDet: A mobile application-based danger detection platform for women and children using deep learning","authors":"Md. Ashikuzzaman,&nbsp;Abdul Aziz,&nbsp;Awal Ahmed Fime","doi":"10.1016/j.softx.2024.101983","DOIUrl":"10.1016/j.softx.2024.101983","url":null,"abstract":"<div><div>The use of mobile technology has grown dramatically on a global scale in recent years. As a result, people have difficulties when attempting to apply danger detection features efficiently. Thus, the purpose of this research is to create an Android mobile application that will facilitate the detection of danger for women and children. The application records the surroundings of the users and classifies the audio using deep-learning models to detect the voice, whether it is a normal, or frightened voice. When an adverse incident is identified, the Android application additionally initiates the proper steps to avoid further deprivation. Users of Android devices can use this application for free, opening the door to ensuring women’s and children’s safety.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101983"},"PeriodicalIF":2.4,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702292","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
pyLAIS: A Python package for Layered Adaptive Importance Sampling pyLAIS：分层自适应重要度抽样的 Python 软件包
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-25 DOI: 10.1016/j.softx.2024.101976
Ernesto Curbelo , Luca Martino , David Delgado-Gómez
{"title":"pyLAIS: A Python package for Layered Adaptive Importance Sampling","authors":"Ernesto Curbelo ,&nbsp;Luca Martino ,&nbsp;David Delgado-Gómez","doi":"10.1016/j.softx.2024.101976","DOIUrl":"10.1016/j.softx.2024.101976","url":null,"abstract":"<div><div>Monte Carlo (MC) techniques are widely used to draw from complex distributions and/or for the calculation of related integrals. The most famous families of MC methods are Markov Chain Monte Carlo (MCMC) and importance sampling (IS). There are many separate implementations and packages, available online regarding MCMC or IS methods. Moreover, both techniques present different drawbacks and advantages. In this paper, we introduce a flexible Python implementation of the so-called layered adaptive importance sampling (LAIS) algorithm. LAIS combines the benefits of MCMC and IS schemes: the exploration of the state space by Markov chains and the low variance estimations provides by advanced and modern IS schemes. More precisely, LAIS allows the sampling of complex distributions and/or approximation of integrals involving complex distributions, through the combination of – possibly sophisticated – MCMC schemes and multiple importance sampling (MIS) techniques. In addition, the modular nature of the algorithm itself provides a great flexibility in choosing the desired MCMC techniques, invariant distributions, proposal densities and MIS approaches.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101976"},"PeriodicalIF":2.4,"publicationDate":"2024-11-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702291","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
GraphXplore: Visual exploration and accessible preprocessing of medical data GraphXplore：对医学数据进行可视化探索和无障碍预处理
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-23 DOI: 10.1016/j.softx.2024.101978
Louis Bellmann , Karl Gottfried , Philipp Breitfeld , Frank Ückert
{"title":"GraphXplore: Visual exploration and accessible preprocessing of medical data","authors":"Louis Bellmann ,&nbsp;Karl Gottfried ,&nbsp;Philipp Breitfeld ,&nbsp;Frank Ückert","doi":"10.1016/j.softx.2024.101978","DOIUrl":"10.1016/j.softx.2024.101978","url":null,"abstract":"<div><div>Data-driven medical research requires explainable, robust models that can handle the noisy, high-dimensional nature of electronic healthcare data while adequately communicating the results to physicians. Additionally, metadata sharing, and reproducible dataset preparation are needed to increase data quality and interoperability of privacy-sensitive patient data. In this work, we present GraphXplore, a tool for visual data exploration, automatic metadata extraction and data transformation. It enables explainable, easy-to-use exploratory data analysis paired with dataset preparation and metadata annotation accessible for physicians. The tool is implemented as a Python package and graphical user interface application tailored to the needs of medical researchers and modularly integrable into hospital data warehouse infrastructures.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101978"},"PeriodicalIF":2.4,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701663","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
ShopiRound: An Android application-based e-commerce system to find products nearby using travelling salesman problem ShopiRound：基于 Android 应用程序的电子商务系统，利用旅行推销员问题查找附近商品
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-23 DOI: 10.1016/j.softx.2024.101973
Akik Ashraf Rafi, Md. Mubtashim Abrar Nihal, Abdul Aziz
{"title":"ShopiRound: An Android application-based e-commerce system to find products nearby using travelling salesman problem","authors":"Akik Ashraf Rafi,&nbsp;Md. Mubtashim Abrar Nihal,&nbsp;Abdul Aziz","doi":"10.1016/j.softx.2024.101973","DOIUrl":"10.1016/j.softx.2024.101973","url":null,"abstract":"<div><div>In contemporary lifestyles, a common challenge is the urgent requirement to purchase a specific item without knowing its location, often due to time constraints. While online ordering is an alternative, the associated waiting period poses a drawback. To address this, a purpose-built application has been developed to efficiently locate products in nearby retail shops. By swiftly presenting available items in the vicinity along with their distances, the app eliminates the need for exhaustive inquiries at multiple shops. The central aim is to enhance user convenience by saving time and energy. Beyond aiding buyers, the application offers benefits to sellers by increasing visibility, potentially attracting more customers, and fostering recognition. The platform seeks to simplify the product search and purchase process, benefiting both consumers and retailers.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101973"},"PeriodicalIF":2.4,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701662","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
IST-ROS: A flexible object segmentation and tracking framework for robotics applications IST-ROS：用于机器人应用的灵活物体分割和跟踪框架
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-23 DOI: 10.1016/j.softx.2024.101979
Khusniddin Fozilov , Yutaro Yamada , Jacinto Colan , Yaonan Zhu , Yasuhisa Hasegawa
{"title":"IST-ROS: A flexible object segmentation and tracking framework for robotics applications","authors":"Khusniddin Fozilov ,&nbsp;Yutaro Yamada ,&nbsp;Jacinto Colan ,&nbsp;Yaonan Zhu ,&nbsp;Yasuhisa Hasegawa","doi":"10.1016/j.softx.2024.101979","DOIUrl":"10.1016/j.softx.2024.101979","url":null,"abstract":"<div><div>Object detection and tracking are crucial components in the development of various applications and research endeavors within the computer science and robotics community. However, the diverse shapes and appearances of real-world objects, as well as dynamic nature of the scenes, may pose significant challenges for these tasks. Existing object detection and tracking methods often require extensive data annotation and model re-training when applied to new objects or environments, diverting valuable time and resources from the primary research objectives. In this paper, we present IST-ROS, Interactive Segmentation and Tracking for ROS, a software solution that leverages the capabilities of the Segment Anything Model (SAM) and semi-supervised video object segmentation methods to enable flexible and efficient object segmentation and tracking. Its graphical interface allows interactive object selection and segmentation using various prompts, while integrated tracking ensures robust performance even under occlusions and object interactions. By providing a flexible solution for object segmentation and tracking, IST-ROS aims to facilitate rapid prototyping and advancement of robotics applications.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101979"},"PeriodicalIF":2.4,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142701661","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 Python implementation of CLUMP, the Code Library to generate Universal Multi-sphere Particles 用于生成通用多球粒子的代码库 CLUMP 的 Python 实现
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-23 DOI: 10.1016/j.softx.2024.101957
Ahmet Utku Canbolat , Sadegh Nadimi , Vasileios Angelidakis
{"title":"A Python implementation of CLUMP, the Code Library to generate Universal Multi-sphere Particles","authors":"Ahmet Utku Canbolat ,&nbsp;Sadegh Nadimi ,&nbsp;Vasileios Angelidakis","doi":"10.1016/j.softx.2024.101957","DOIUrl":"10.1016/j.softx.2024.101957","url":null,"abstract":"<div><div>Multi-spheres are widely employed to model non-spherical particles in the Discrete Element Method. For the past three years, the <span>CLUMP</span> code has provided the means to compare different multi-sphere particle generation methods in a quantitative manner, via the implementation of different particle generation methods within a single software package. This paper reports on the evolution of the software, underpinned by the following recent developments: (1) a <span>Python</span> implementation of <span>CLUMP</span>, which is maintained alongside the original <span>MATLAB</span> code, and (2) the extension of the Euclidean transform method proposed in the original <span>CLUMP</span> paper to bonded and crushable particles. The new <span>Python</span> implementation and feature development enhance the accessibility of the software to a wider user base and generalize its applicability to a more diverse set of problems.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101957"},"PeriodicalIF":2.4,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702293","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
pyRoCS: A Python package to evaluate the resilience of complex systems pyRoCS：评估复杂系统复原力的 Python 软件包
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-21 DOI: 10.1016/j.softx.2024.101977
Amanda Wachtel, Thushara Gunda, Susan Caskey, Ryan Cooper, Thomas Womack, Kirk Bonney, Kenneth Kliesner
{"title":"pyRoCS: A Python package to evaluate the resilience of complex systems","authors":"Amanda Wachtel,&nbsp;Thushara Gunda,&nbsp;Susan Caskey,&nbsp;Ryan Cooper,&nbsp;Thomas Womack,&nbsp;Kirk Bonney,&nbsp;Kenneth Kliesner","doi":"10.1016/j.softx.2024.101977","DOIUrl":"10.1016/j.softx.2024.101977","url":null,"abstract":"<div><div>This paper introduces pyRoCS, an open source Python-based software that enables users to quantify resilience of complex systems. The metrics used to quantify resilience are sourced from peer-reviewed publications across multiple domains, including information theory, biosciences, and complex systems. Functions within associated domain modules can be combined based on user needs to support the characterization of resilience. Data structures from various domains (e.g., media coverage, organizational structures, and hazard analyses in critical infrastructures) could be analyzed using metrics within pyRoCS, including those collected in the field or derived from modeling and simulations. The conversion of these existing metrics into a formal software package increases the robustness and transparency of current implementations. Furthermore, the inclusion of multiple disciplinary metrics enables exploration of how resilience concepts are translated into practice, an area of interest in multiple domains.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101977"},"PeriodicalIF":2.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702289","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
“streetscape” package in R: A reproducible method for analyzing open-source street view datasets and facilitating research for urban analytics R 中的 "streetcape "软件包：分析开源街景数据集和促进城市分析研究的可复制方法
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-21 DOI: 10.1016/j.softx.2024.101981
Xiaohao Yang, Mark Lindquist, Derek Van Berkel
{"title":"“streetscape” package in R: A reproducible method for analyzing open-source street view datasets and facilitating research for urban analytics","authors":"Xiaohao Yang,&nbsp;Mark Lindquist,&nbsp;Derek Van Berkel","doi":"10.1016/j.softx.2024.101981","DOIUrl":"10.1016/j.softx.2024.101981","url":null,"abstract":"<div><div>Street view imagery (SVI) is an increasingly important data source for urban analytics and environmental researchers studying the visual quality of the built environment. Compared to remote sensing imagery, SVI can provide a different plane of perspective at ground level and better determine the interplay between urban physical settings and socio-ecological factors that enhance well-being and sustainability. Mapillary, a platform for volunteered street view imagery, has emerged as a promising alternative to Google Street View, offering greater accessibility. Nonetheless, the utility of this open-source database can be limited by the current Mapillary Application Programming Interface (API), which only partially meets the needs of urban analytics research. To address this, we introduce \"streetscape,\" an R package designed to provide user-friendly functions for collecting and analyzing street view imagery data from Mapillary. In addition, the package supports the generation of surveys for the qualitative study of urban landscapes.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101981"},"PeriodicalIF":2.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702290","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
LeXInt: GPU-accelerated exponential integrators package LeXInt：GPU 加速指数积分器软件包
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-21 DOI: 10.1016/j.softx.2024.101949
Pranab J. Deka , Alexander Moriggl, Lukas Einkemmer
{"title":"LeXInt: GPU-accelerated exponential integrators package","authors":"Pranab J. Deka ,&nbsp;Alexander Moriggl,&nbsp;Lukas Einkemmer","doi":"10.1016/j.softx.2024.101949","DOIUrl":"10.1016/j.softx.2024.101949","url":null,"abstract":"<div><div>We present an open-source <span>CUDA</span>-based package, for the temporal integration of differential equations, that consists of a compilation of exponential integrators where the action of the matrix exponential or the <span><math><msub><mrow><mi>φ</mi></mrow><mrow><mi>l</mi></mrow></msub></math></span> functions on a vector is approximated using the method of polynomial interpolation at Leja points. Using a couple of test examples on an NVIDIA A100 GPU, we show that one can achieve significant speedups using <span>CUDA</span> over the corresponding CPU code. <span>LeXInt</span>, written in a modular format, facilitates integration into existing software packages (written in <span>C++</span> or <span>CUDA</span>), for temporal integration of differential equations.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101949"},"PeriodicalIF":2.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702295","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
HOPE: Holistic Optimization Program for Electricity HOPE：电力整体优化计划
IF 2.4 4区 计算机科学
SoftwareX Pub Date : 2024-11-21 DOI: 10.1016/j.softx.2024.101982
Shen Wang , Ziying Song , Mahdi Mehrtash , Benjamin F. Hobbs
{"title":"HOPE: Holistic Optimization Program for Electricity","authors":"Shen Wang ,&nbsp;Ziying Song ,&nbsp;Mahdi Mehrtash ,&nbsp;Benjamin F. Hobbs","doi":"10.1016/j.softx.2024.101982","DOIUrl":"10.1016/j.softx.2024.101982","url":null,"abstract":"<div><div>In this paper, we present a novel open-source electricity systems optimization tool, the Holistic Optimization Program for Electricity (HOPE), to assess emerging generation technology, inform policy design, and support planning. With a highly transparent, interpretable, and compact model design, HOPE easily allows user access and modification, serving its main goal to benefit users beyond engineer communities and facilitate collaboration across the science-policy boundary. By activating different modes, the current version of HOPE (v1.0) offers flexibility in serving as either a Generation and Transmission Expansion Planning tool (GTEP) or a Production Cost Modelling tool (PCM). It includes modelling features such as long-term resource investments, short-term system operations, and a detailed representation of policies across various levels of regulated institutions. This paper outlines the building blocks of the model and its software structure. Case study results from using HOPE for the state of Maryland as well as the Pennsylvania-New Jersey-Maryland (PJM) footprint are also provided.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"29 ","pages":"Article 101982"},"PeriodicalIF":2.4,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142702294","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
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