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Python</title> <meta name="description" content="Search results for: André Python"> <meta name="keywords" content="André Python"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> <a class="navbar-brand" href="https://waset.org"> <img src="https://cdn.waset.org/static/images/wasetc.png" alt="Open Science Research Excellence" title="Open Science Research Excellence" /> </a> <button class="d-block d-lg-none navbar-toggler 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id="custom-search-input"> <div class="input-group"> <i class="fas fa-search"></i> <input type="text" class="search-query" name="q" placeholder="Author, Title, Abstract, Keywords" value="André Python"> <input type="submit" class="btn_search" value="Search"> </div> </div> </form> </div> </div> <div class="row mt-3"> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Commenced</strong> in January 2007</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Frequency:</strong> Monthly</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Edition:</strong> International</div> </div> </div> <div class="col-sm-3"> <div class="card"> <div class="card-body"><strong>Paper Count:</strong> 333</div> </div> </div> </div> <h1 class="mt-3 mb-3 text-center" style="font-size:1.6rem;">Search results for: André Python</h1> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">333</span> Static Analysis of Security Issues of the Python Packages Ecosystem</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Adam%20Gorine">Adam Gorine</a>, <a href="https://publications.waset.org/abstracts/search?q=Faten%20Spondon"> Faten Spondon</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Python is considered the most popular programming language and offers its own ecosystem for archiving and maintaining open-source software packages. This system is called the python package index (PyPI), the repository of this programming language. Unfortunately, one-third of these software packages have vulnerabilities that allow attackers to execute code automatically when a vulnerable or malicious package is installed. This paper contributes to large-scale empirical studies investigating security issues in the python ecosystem by evaluating package vulnerabilities. These provide a series of implications that can help the security of software ecosystems by improving the process of discovering, fixing, and managing package vulnerabilities. The vulnerable dataset is generated using the NVD, the national vulnerability database, and the Snyk vulnerability dataset. In addition, we evaluated 807 vulnerability reports in the NVD and 3900 publicly known security vulnerabilities in Python Package Manager (pip) from the Snyk database from 2002 to 2022. As a result, many Python vulnerabilities appear in high severity, followed by medium severity. The most problematic areas have been improper input validation and denial of service attacks. A hybrid scanning tool that combines the three scanners bandit, snyk and dlint, which provide a clear report of the code vulnerability, is also described. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Python%20vulnerabilities" title="Python vulnerabilities">Python vulnerabilities</a>, <a href="https://publications.waset.org/abstracts/search?q=bandit" title=" bandit"> bandit</a>, <a href="https://publications.waset.org/abstracts/search?q=Snyk" title=" Snyk"> Snyk</a>, <a href="https://publications.waset.org/abstracts/search?q=Dlint" title=" Dlint"> Dlint</a>, <a href="https://publications.waset.org/abstracts/search?q=Python%20package%20index" title=" Python package index"> Python package index</a>, <a href="https://publications.waset.org/abstracts/search?q=ecosystem" title=" ecosystem"> ecosystem</a>, <a href="https://publications.waset.org/abstracts/search?q=static%20analysis" title=" static analysis"> static analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=malicious%20attacks" title=" malicious attacks"> malicious attacks</a> </p> <a href="https://publications.waset.org/abstracts/161094/static-analysis-of-security-issues-of-the-python-packages-ecosystem" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161094.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">140</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">332</span> Jointly Learning Python Programming and Analytic Geometry</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Cristina-Maria%20P%C4%83curar">Cristina-Maria Păcurar</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper presents an original Python-based application that outlines the advantages of combining some elementary notions of mathematics with the study of a programming language. The application support refers to some of the first lessons of analytic geometry, meaning conics and quadrics and their reduction to a standard form, as well as some related notions. The chosen programming language is Python, not only for its closer to an everyday language syntax – and therefore, enhanced readability – but also for its highly reusable code, which is of utmost importance for a mathematician that is accustomed to exploit already known and used problems to solve new ones. The purpose of this paper is, on one hand, to support the idea that one of the most appropriate means to initiate one into programming is throughout mathematics, and reciprocal, one of the most facile and handy ways to assimilate some basic knowledge in the study of mathematics is to apply them in a personal project. On the other hand, besides being a mean of learning both programming and analytic geometry, the application subject to this paper is itself a useful tool for it can be seen as an independent original Python package for analytic geometry. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=analytic%20geometry" title="analytic geometry">analytic geometry</a>, <a href="https://publications.waset.org/abstracts/search?q=conics" title=" conics"> conics</a>, <a href="https://publications.waset.org/abstracts/search?q=python" title=" python"> python</a>, <a href="https://publications.waset.org/abstracts/search?q=quadrics" title=" quadrics"> quadrics</a> </p> <a href="https://publications.waset.org/abstracts/64133/jointly-learning-python-programming-and-analytic-geometry" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/64133.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">294</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">331</span> Development of a Wind Resource Assessment Framework Using Weather Research and Forecasting (WRF) Model, Python Scripting and Geographic Information Systems</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Jerome%20T.%20Tolentino">Jerome T. Tolentino</a>, <a href="https://publications.waset.org/abstracts/search?q=Ma.%20Victoria%20Rejuso"> Ma. Victoria Rejuso</a>, <a href="https://publications.waset.org/abstracts/search?q=Jara%20Kaye%20Villanueva"> Jara Kaye Villanueva</a>, <a href="https://publications.waset.org/abstracts/search?q=Loureal%20Camille%20Inocencio"> Loureal Camille Inocencio</a>, <a href="https://publications.waset.org/abstracts/search?q=Ma.%20Rosario%20Concepcion%20O.%20Ang"> Ma. Rosario Concepcion O. Ang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Wind energy is rapidly emerging as the primary source of electricity in the Philippines, although developing an accurate wind resource model is difficult. In this study, Weather Research and Forecasting (WRF) Model, an open source mesoscale Numerical Weather Prediction (NWP) model, was used to produce a 1-year atmospheric simulation with 4 km resolution on the Ilocos Region of the Philippines. The WRF output (netCDF) extracts the annual mean wind speed data using a Python-based Graphical User Interface. Lastly, wind resource assessment was produced using a GIS software. Results of the study showed that it is more flexible to use Python scripts than using other post-processing tools in dealing with netCDF files. Using WRF Model, Python, and Geographic Information Systems, a reliable wind resource map is produced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=wind%20resource%20assessment" title="wind resource assessment">wind resource assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=weather%20research%20and%20forecasting%20%28WRF%29%20model" title=" weather research and forecasting (WRF) model"> weather research and forecasting (WRF) model</a>, <a href="https://publications.waset.org/abstracts/search?q=python" title=" python"> python</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS%20software" title=" GIS software"> GIS software</a> </p> <a href="https://publications.waset.org/abstracts/40795/development-of-a-wind-resource-assessment-framework-using-weather-research-and-forecasting-wrf-model-python-scripting-and-geographic-information-systems" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/40795.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">442</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">330</span> Designing an Introductory Python Course for Finance Students</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Joelle%20Thng">Joelle Thng</a>, <a href="https://publications.waset.org/abstracts/search?q=Li%20Fang"> Li Fang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Objective: As programming becomes a highly valued and sought-after skill in the economy, many universities have started offering Python courses to help students keep up with the demands of employers. This study focuses on designing a university module that effectively educates undergraduate students on financial analysis using Python programming. Methodology: To better satisfy the specific demands for each sector, this study adopted a qualitative research modus operandi to craft a module that would complement students’ existing financial skills. The lessons were structured using research-backed educational learning tools, and important Python concepts were prudently screened before being included in the syllabus. The course contents were streamlined based on criteria such as ease of learning and versatility. In particular, the skills taught were modelled in a way to ensure they were beneficial for financial data processing and analysis. Results: Through this study, a 6-week course containing the chosen topics and programming applications was carefully constructed for finance students. Conclusion: The findings in this paper will provide valuable insights as to how teaching programming could be customised for students hailing from various academic backgrounds. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=curriculum%20development" title="curriculum development">curriculum development</a>, <a href="https://publications.waset.org/abstracts/search?q=designing%20effective%20instruction" title=" designing effective instruction"> designing effective instruction</a>, <a href="https://publications.waset.org/abstracts/search?q=higher%20education%20strategy" title=" higher education strategy"> higher education strategy</a>, <a href="https://publications.waset.org/abstracts/search?q=python%20for%20finance%20students" title=" python for finance students"> python for finance students</a> </p> <a href="https://publications.waset.org/abstracts/163282/designing-an-introductory-python-course-for-finance-students" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/163282.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">79</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">329</span> Implementation in Python of a Method to Transform One-Dimensional Signals in Graphs</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Luis%20Andrey%20Fajardo%20Fajardo">Luis Andrey Fajardo Fajardo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> We are immersed in complex systems. The human brain, the galaxies, the snowflakes are examples of complex systems. An area of interest in Complex systems is the chaos theory. This revolutionary field of science presents different ways of study than determinism and reductionism. Here is where in junction with the Nonlinear DSP, chaos theory offer valuable techniques that establish a link between time series and complex theory in terms of complex networks, so that, the study of signals can be explored from the graph theory. Recently, some people had purposed a method to transform time series in graphs, but no one had developed a suitable implementation in Python with signals extracted from Chaotic Systems or Complex systems. That’s why the implementation in Python of an existing method to transform one dimensional chaotic signals from time domain to graph domain and some measures that may reveal information not extracted in the time domain is proposed. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Python" title="Python">Python</a>, <a href="https://publications.waset.org/abstracts/search?q=complex%20systems" title=" complex systems"> complex systems</a>, <a href="https://publications.waset.org/abstracts/search?q=graph%20theory" title=" graph theory"> graph theory</a>, <a href="https://publications.waset.org/abstracts/search?q=dynamical%20systems" title=" dynamical systems"> dynamical systems</a> </p> <a href="https://publications.waset.org/abstracts/25768/implementation-in-python-of-a-method-to-transform-one-dimensional-signals-in-graphs" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/25768.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">509</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">328</span> Network Automation in Lab Deployment Using Ansible and Python</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=V.%20Andal%20Priyadharshini">V. Andal Priyadharshini</a>, <a href="https://publications.waset.org/abstracts/search?q=Anumalasetty%20Yashwanth%20Nath"> Anumalasetty Yashwanth Nath</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Network automation has evolved into a solution that ensures efficiency in all areas. The age-old technique to configure common software-defined networking protocols is inefficient as it requires a box-by-box approach that needs to be repeated often and is prone to manual errors. Network automation assists network administrators in automating and verifying the protocol configuration to ensure consistent configurations. This paper implemented network automation using Python and Ansible to configure different protocols and configurations in the container lab virtual environment. Ansible can help network administrators minimize human mistakes, reduce time consumption, and enable device visibility across the network environment. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Python%20network%20automation" title="Python network automation">Python network automation</a>, <a href="https://publications.waset.org/abstracts/search?q=Ansible%20configuration" title=" Ansible configuration"> Ansible configuration</a>, <a href="https://publications.waset.org/abstracts/search?q=container%20lab%20deployment" title=" container lab deployment"> container lab deployment</a>, <a href="https://publications.waset.org/abstracts/search?q=software-defined%20networking" title=" software-defined networking"> software-defined networking</a>, <a href="https://publications.waset.org/abstracts/search?q=networking%20lab" title=" networking lab"> networking lab</a> </p> <a href="https://publications.waset.org/abstracts/149854/network-automation-in-lab-deployment-using-ansible-and-python" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149854.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">164</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">327</span> The Face Sync-Smart Attendance</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bekkem%20Chakradhar%20Reddy">Bekkem Chakradhar Reddy</a>, <a href="https://publications.waset.org/abstracts/search?q=Y.%20Soni%20Priya"> Y. Soni Priya</a>, <a href="https://publications.waset.org/abstracts/search?q=Mathivanan%20G."> Mathivanan G.</a>, <a href="https://publications.waset.org/abstracts/search?q=L.%20K.%20Joshila%20Grace"> L. K. Joshila Grace</a>, <a href="https://publications.waset.org/abstracts/search?q=N.%20Srinivasan"> N. Srinivasan</a>, <a href="https://publications.waset.org/abstracts/search?q=Asha%20P."> Asha P.</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Currently, there are a lot of problems related to marking attendance in schools, offices, or other places. Organizations tasked with collecting daily attendance data have numerous concerns. There are different ways to mark attendance. The most commonly used method is collecting data manually by calling each student. It is a longer process and problematic. Now, there are a lot of new technologies that help to mark attendance automatically. It reduces work and records the data. We have proposed to implement attendance marking using the latest technologies. We have implemented a system based on face identification and analyzing faces. The project is developed by gathering faces and analyzing data, using deep learning algorithms to recognize faces effectively. The data is recorded and forwarded to the host through mail. The project was implemented in Python and Python libraries used are CV2, Face Recognition, and Smtplib. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=python" title="python">python</a>, <a href="https://publications.waset.org/abstracts/search?q=deep%20learning" title=" deep learning"> deep learning</a>, <a href="https://publications.waset.org/abstracts/search?q=face%20recognition" title=" face recognition"> face recognition</a>, <a href="https://publications.waset.org/abstracts/search?q=CV2" title=" CV2"> CV2</a>, <a href="https://publications.waset.org/abstracts/search?q=smtplib" title=" smtplib"> smtplib</a>, <a href="https://publications.waset.org/abstracts/search?q=Dlib." title=" Dlib."> Dlib.</a> </p> <a href="https://publications.waset.org/abstracts/184212/the-face-sync-smart-attendance" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/184212.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">58</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">326</span> Improving the Run Times of Existing and Historical Demand Models Using Simple Python Scripting</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Abhijeet%20Ostawal">Abhijeet Ostawal</a>, <a href="https://publications.waset.org/abstracts/search?q=Parmjit%20Lall"> Parmjit Lall</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The run times for a large strategic model that we were managing had become too long leading to delays in project delivery, increased costs and loss in productivity. Software developers are continuously working towards developing more efficient tools by changing their algorithms and processes. The issue faced by our team was how do you apply the latest technologies on validated existing models which are based on much older versions of software that do not have the latest software capabilities. The multi-model transport model that we had could only be run in sequential assignment order. Recent upgrades to the software now allowed the assignment to be run in parallel, a concept called parallelization. Parallelization is a Python script working only within the latest version of the software. A full model transfer to the latest version was not possible due to time, budget and the potential changes in trip assignment. This article is to show the method to adapt and update the Python script in such a way that it can be used in older software versions by calling the latest version and then recalling the old version for assignment model without affecting the results. Through a process of trial-and-error run time savings of up to 30-40% have been achieved. Assignment results were maintained within the older version and through this learning process we’ve applied this methodology to other even older versions of the software resulting in huge time savings, more productivity and efficiency for both client and consultant. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=model%20run%20time" title="model run time">model run time</a>, <a href="https://publications.waset.org/abstracts/search?q=demand%20model" title=" demand model"> demand model</a>, <a href="https://publications.waset.org/abstracts/search?q=parallelisation" title=" parallelisation"> parallelisation</a>, <a href="https://publications.waset.org/abstracts/search?q=python%20scripting" title=" python scripting"> python scripting</a> </p> <a href="https://publications.waset.org/abstracts/149033/improving-the-run-times-of-existing-and-historical-demand-models-using-simple-python-scripting" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/149033.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">118</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">325</span> Automatic Fluid-Structure Interaction Modeling and Analysis of Butterfly Valve Using Python Script</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=N.%20Guru%20Prasath">N. Guru Prasath</a>, <a href="https://publications.waset.org/abstracts/search?q=Sangjin%20Ma"> Sangjin Ma</a>, <a href="https://publications.waset.org/abstracts/search?q=Chang-Wan%20Kim"> Chang-Wan Kim</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A butterfly valve is a quarter turn valve which is used to control the flow of a fluid through a section of pipe. Generally, butterfly valve is used in wide range of applications such as water distribution, sewage, oil and gas plants. In particular, butterfly valve with larger diameter finds its immense applications in hydro power plants to control the fluid flow. In-lieu with the constraints in cost and size to run laboratory setup, analysis of large diameter values will be mostly studied by computational method which is the best and inexpensive solution. For fluid and structural analysis, CFD and FEM software is used to perform large scale valve analyses, respectively. In order to perform above analysis in butterfly valve, the CAD model has to recreate and perform mesh in conventional software’s for various dimensions of valve. Therefore, its limitation is time consuming process. In-order to overcome that issue, python code was created to outcome complete pre-processing setup automatically in Salome software. Applying dimensions of the model clearly in the python code makes the running time comparatively lower and easier way to perform analysis of the valve. Hence, in this paper, an attempt was made to study the fluid-structure interaction (FSI) of butterfly valves by varying the valve angles and dimensions using python code in pre-processing software, and results are produced. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=butterfly%20valve" title="butterfly valve">butterfly valve</a>, <a href="https://publications.waset.org/abstracts/search?q=flow%20coefficient" title=" flow coefficient"> flow coefficient</a>, <a href="https://publications.waset.org/abstracts/search?q=automatic%20CFD%20analysis" title=" automatic CFD analysis"> automatic CFD analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=FSI%20analysis" title=" FSI analysis"> FSI analysis</a> </p> <a href="https://publications.waset.org/abstracts/60603/automatic-fluid-structure-interaction-modeling-and-analysis-of-butterfly-valve-using-python-script" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/60603.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">241</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">324</span> Interlingual Translation of Manipuri Folktales with the Ideas of André Lefevere's Translation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Thoudam%20Jomita%20Devi">Thoudam Jomita Devi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper is an attempt to analyze the problems of translating Manipuri folktales into English and the strategies deployed. In Manipuri, folktales are known as Fungawari/Phungawari, which is similar to a western bed time story. The work is with the special reference to folktales of Meetei community. Meetei are the majority ethnic group of Manipur, India. For this paper’s purpose, two folktales Shandrembi Cheisra and Pebet will be chosen for analysis and discussion. The translation of folktales can contribute to intercultural communication and bridge the gap between the generations. Translating Manipuri Folktales is problematic on both cultural and linguistic levels. Therefore, the aim of this analysis is to understand, how the idea of André Lefevere (1992) translation could be implicated in translating Manipuri folktales. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=cultural" title="cultural">cultural</a>, <a href="https://publications.waset.org/abstracts/search?q=folktales" title=" folktales"> folktales</a>, <a href="https://publications.waset.org/abstracts/search?q=intercultural" title=" intercultural"> intercultural</a>, <a href="https://publications.waset.org/abstracts/search?q=interlingual" title=" interlingual"> interlingual</a>, <a href="https://publications.waset.org/abstracts/search?q=translation" title=" translation"> translation</a> </p> <a href="https://publications.waset.org/abstracts/80285/interlingual-translation-of-manipuri-folktales-with-the-ideas-of-andre-lefeveres-translation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/80285.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">187</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">323</span> An Extensible Software Infrastructure for Computer Aided Custom Monitoring of Patients in Smart Homes</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ritwik%20Dutta">Ritwik Dutta</a>, <a href="https://publications.waset.org/abstracts/search?q=Marylin%20Wolf"> Marylin Wolf</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper describes the trade-offs and the design from scratch of a self-contained, easy-to-use health dashboard software system that provides customizable data tracking for patients in smart homes. The system is made up of different software modules and comprises a front-end and a back-end component. Built with HTML, CSS, and JavaScript, the front-end allows adding users, logging into the system, selecting metrics, and specifying health goals. The back-end consists of a NoSQL Mongo database, a Python script, and a SimpleHTTPServer written in Python. The database stores user profiles and health data in JSON format. The Python script makes use of the PyMongo driver library to query the database and displays formatted data as a daily snapshot of user health metrics against target goals. Any number of standard and custom metrics can be added to the system, and corresponding health data can be fed automatically, via sensor APIs or manually, as text or picture data files. A real-time METAR request API permits correlating weather data with patient health, and an advanced query system is implemented to allow trend analysis of selected health metrics over custom time intervals. Available on the GitHub repository system, the project is free to use for academic purposes of learning and experimenting, or practical purposes by building on it. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=flask" title="flask">flask</a>, <a href="https://publications.waset.org/abstracts/search?q=Java" title=" Java"> Java</a>, <a href="https://publications.waset.org/abstracts/search?q=JavaScript" title=" JavaScript"> JavaScript</a>, <a href="https://publications.waset.org/abstracts/search?q=health%20monitoring" title=" health monitoring"> health monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=long-term%20care" title=" long-term care"> long-term care</a>, <a href="https://publications.waset.org/abstracts/search?q=Mongo" title=" Mongo"> Mongo</a>, <a href="https://publications.waset.org/abstracts/search?q=Python" title=" Python"> Python</a>, <a href="https://publications.waset.org/abstracts/search?q=smart%20home" title=" smart home"> smart home</a>, <a href="https://publications.waset.org/abstracts/search?q=software%20engineering" title=" software engineering"> software engineering</a>, <a href="https://publications.waset.org/abstracts/search?q=webserver" title=" webserver"> webserver</a> </p> <a href="https://publications.waset.org/abstracts/17920/an-extensible-software-infrastructure-for-computer-aided-custom-monitoring-of-patients-in-smart-homes" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/17920.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">390</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">322</span> Implementation of the Recursive Formula for Evaluation of the Strength of Daniels' Bundle</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Vaclav%20Sadilek">Vaclav Sadilek</a>, <a href="https://publications.waset.org/abstracts/search?q=Miroslav%20Vorechovsky"> Miroslav Vorechovsky</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The paper deals with the classical fiber bundle model of equal load sharing, sometimes referred to as the Daniels' bundle or the democratic bundle. Daniels formulated a multidimensional integral and also a recursive formula for evaluation of the strength cumulative distribution function. This paper describes three algorithms for evaluation of the recursive formula and also their implementations with source codes in high-level programming language Python. A comparison of the algorithms are provided with respect to execution time. Analysis of orders of magnitudes of addends in the recursion is also provided. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=equal%20load%20sharing" title="equal load sharing">equal load sharing</a>, <a href="https://publications.waset.org/abstracts/search?q=mpmath" title=" mpmath"> mpmath</a>, <a href="https://publications.waset.org/abstracts/search?q=python" title=" python"> python</a>, <a href="https://publications.waset.org/abstracts/search?q=strength%20of%20Daniels%27%20bundle" title=" strength of Daniels' bundle"> strength of Daniels' bundle</a> </p> <a href="https://publications.waset.org/abstracts/27514/implementation-of-the-recursive-formula-for-evaluation-of-the-strength-of-daniels-bundle" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/27514.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">404</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">321</span> Quasiperiodic Magnetic Chains as Spin Filters </h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Arunava%20Chakrabarti">Arunava Chakrabarti</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A one-dimensional chain of magnetic atoms, representative of a quantum gas in an artificial quasi-periodic potential and modeled by the well-known Aubry-Andre function and its variants are studied in respect of its capability of working as a spin filter for arbitrary spins. The basic formulation is explained in terms of a perfectly periodic chain first, where it is shown that a definite correlation between the spin S of the incoming particles and the magnetic moment h of the substrate atoms can open up a gap in the energy spectrum. This is crucial for a spin filtering action. The simple one-dimensional chain is shown to be equivalent to a 2S+1 strand ladder network. This equivalence is exploited to work out the condition for the opening of gaps. The formulation is then applied for a one-dimensional chain with quasi-periodic variation in the site potentials, the magnetic moments and their orientations following an Aubry-Andre modulation and its variants. In addition, we show that a certain correlation between the system parameters can generate absolutely continuous bands in such systems populated by Bloch like extended wave functions only, signaling the possibility of a metal-insulator transition. This is a case of correlated disorder (a deterministic one), and the results provide a non-trivial variation to the famous Anderson localization problem. We have worked within a tight binding formalism and have presented explicit results for the spin half, spin one, three halves and spin five half particles incident on the magnetic chain to explain our scheme and the central results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Aubry-Andre%20model" title="Aubry-Andre model">Aubry-Andre model</a>, <a href="https://publications.waset.org/abstracts/search?q=correlated%20disorder" title=" correlated disorder"> correlated disorder</a>, <a href="https://publications.waset.org/abstracts/search?q=localization" title=" localization"> localization</a>, <a href="https://publications.waset.org/abstracts/search?q=spin%20filter" title=" spin filter"> spin filter</a> </p> <a href="https://publications.waset.org/abstracts/55612/quasiperiodic-magnetic-chains-as-spin-filters" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/55612.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">356</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">320</span> Artificial Intelligence in the Design of a Retaining Structure</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Kelvin%20Lo">Kelvin Lo</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Nowadays, numerical modelling in geotechnical engineering is very common but sophisticated. Many advanced input settings and considerable computational efforts are required to optimize the design to reduce the construction cost. To optimize a design, it usually requires huge numerical models. If the optimization is conducted manually, there is a potentially dangerous consequence from human errors, and the time spent on the input and data extraction from output is significant. This paper presents an automation process introduced to numerical modelling (Plaxis 2D) of a trench excavation supported by a secant-pile retaining structure for a top-down tunnel project. Python code is adopted to control the process, and numerical modelling is conducted automatically in every 20m chainage along the 200m tunnel, with maximum retained height occurring in the middle chainage. Python code continuously changes the geological stratum and excavation depth under groundwater flow conditions in each 20m section. It automatically conducts trial and error to determine the required pile length and the use of props to achieve the required factor of safety and target displacement. Once the bending moment of the pile exceeds its capacity, it will increase in size. When the pile embedment reaches the default maximum length, it will turn on the prop system. Results showed that it saves time, increases efficiency, lowers design costs, and replaces human labor to minimize error. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=automation" title="automation">automation</a>, <a href="https://publications.waset.org/abstracts/search?q=numerical%20modelling" title=" numerical modelling"> numerical modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=Python" title=" Python"> Python</a>, <a href="https://publications.waset.org/abstracts/search?q=retaining%20structures" title=" retaining structures"> retaining structures</a> </p> <a href="https://publications.waset.org/abstracts/180670/artificial-intelligence-in-the-design-of-a-retaining-structure" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/180670.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">51</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">319</span> Low-Cost IoT System for Monitoring Ground Propagation Waves due to Construction and Traffic Activities to Nearby Construction</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Lan%20Nguyen">Lan Nguyen</a>, <a href="https://publications.waset.org/abstracts/search?q=Kien%20Le%20Tan"> Kien Le Tan</a>, <a href="https://publications.waset.org/abstracts/search?q=Bao%20Nguyen%20Pham%20Gia"> Bao Nguyen Pham Gia</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Due to the high cost, specialized dynamic measurement devices for industrial lands are difficult for many colleges to equip for hands-on teaching. This study connects a dynamic measurement sensor and receiver utilizing an inexpensive Raspberry Pi 4 board, some 24-bit ADC circuits, a geophone vibration sensor, and embedded Python open-source programming. Gather and analyze signals for dynamic measuring, ground vibration monitoring, and structure vibration monitoring. The system may wirelessly communicate data to the computer and is set up as a communication node network, enabling real-time monitoring of background vibrations at various locations. The device can be utilized for a variety of dynamic measurement and monitoring tasks, including monitoring earthquake vibrations, ground vibrations from construction operations, traffic, and vibrations of building structures. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sensors" title="sensors">sensors</a>, <a href="https://publications.waset.org/abstracts/search?q=FFT" title=" FFT"> FFT</a>, <a href="https://publications.waset.org/abstracts/search?q=signal%20processing" title=" signal processing"> signal processing</a>, <a href="https://publications.waset.org/abstracts/search?q=real-time%20data%20monitoring" title=" real-time data monitoring"> real-time data monitoring</a>, <a href="https://publications.waset.org/abstracts/search?q=ground%20propagation%20wave" title=" ground propagation wave"> ground propagation wave</a>, <a href="https://publications.waset.org/abstracts/search?q=python" title=" python"> python</a>, <a href="https://publications.waset.org/abstracts/search?q=raspberry%20Pi%204" title=" raspberry Pi 4"> raspberry Pi 4</a> </p> <a href="https://publications.waset.org/abstracts/157636/low-cost-iot-system-for-monitoring-ground-propagation-waves-due-to-construction-and-traffic-activities-to-nearby-construction" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/157636.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">103</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">318</span> Drawing Building Blocks in Existing Neighborhoods: An Automated Pilot Tool for an Initial Approach Using GIS and Python</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Konstantinos%20Pikos">Konstantinos Pikos</a>, <a href="https://publications.waset.org/abstracts/search?q=Dimitrios%20Kaimaris"> Dimitrios Kaimaris</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Although designing building blocks is a procedure used by many planners around the world, there isn’t an automated tool that will help planners and designers achieve their goals with lesser effort. The difficulty of the subject lies in the repeating process of manually drawing lines, while not only it is mandatory to maintain the desirable offset but to also achieve a lesser impact to the existing building stock. In this paper, using Geographical Information Systems (GIS) and the Python programming language, an automated tool integrated into ArcGIS PRO, is being presented. Despite its simplistic enviroment and the lack of specialized building legislation due to the complex state of the field, a planner who is aware of such technical information can use the tool to draw an initial approach of the final building blocks in an area with pre-existing buildings in an attempt to organize the usually sprawling suburbs of a city or any continuously developing area. The tool uses ESRI’s ArcPy library to handle the spatial data, while interactions with the user is made throught Tkinter. The main process consists of a modification of building edgescoordinates, using NumPy library, in an effort to draw the line of best fit, so the user can get the optimal results per block’s side. Finally, after the tool runs successfully, a table of primary planning information is shown, such as the area of the building block and its coverage rate. Regardless of the primary stage of the tool’s development, it is a solid base where potential planners with programming skills could invest, so they can make the tool adapt to their individual needs. An example of the entire procedure in a test area is provided, highlighting both the strengths and weaknesses of the final results. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=arcPy" title="arcPy">arcPy</a>, <a href="https://publications.waset.org/abstracts/search?q=GIS" title=" GIS"> GIS</a>, <a href="https://publications.waset.org/abstracts/search?q=python" title=" python"> python</a>, <a href="https://publications.waset.org/abstracts/search?q=building%20blocks" title=" building blocks"> building blocks</a> </p> <a href="https://publications.waset.org/abstracts/143445/drawing-building-blocks-in-existing-neighborhoods-an-automated-pilot-tool-for-an-initial-approach-using-gis-and-python" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/143445.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">179</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">317</span> Performance of Neural Networks vs. Radial Basis Functions When Forming a Metamodel for Residential Buildings</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Philip%20Symonds">Philip Symonds</a>, <a href="https://publications.waset.org/abstracts/search?q=Jon%20Taylor"> Jon Taylor</a>, <a href="https://publications.waset.org/abstracts/search?q=Zaid%20Chalabi"> Zaid Chalabi</a>, <a href="https://publications.waset.org/abstracts/search?q=Michael%20Davies"> Michael Davies</a> </p> <p class="card-text"><strong>Abstract:</strong></p> With the world climate projected to warm and major cities in developing countries becoming increasingly populated and polluted, governments are tasked with the problem of overheating and air quality in residential buildings. This paper presents the development of an adaptable model of these risks. Simulations are performed using the EnergyPlus building physics software. An accurate metamodel is formed by randomly sampling building input parameters and training on the outputs of EnergyPlus simulations. Metamodels are used to vastly reduce the amount of computation time required when performing optimisation and sensitivity analyses. Neural Networks (NNs) are compared to a Radial Basis Function (RBF) algorithm when forming a metamodel. These techniques were implemented using the PyBrain and scikit-learn python libraries, respectively. NNs are shown to perform around 15% better than RBFs when estimating overheating and air pollution metrics modelled by EnergyPlus. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title="neural networks">neural networks</a>, <a href="https://publications.waset.org/abstracts/search?q=radial%20basis%20functions" title=" radial basis functions"> radial basis functions</a>, <a href="https://publications.waset.org/abstracts/search?q=metamodelling" title=" metamodelling"> metamodelling</a>, <a href="https://publications.waset.org/abstracts/search?q=python%20machine%20learning%20libraries" title=" python machine learning libraries"> python machine learning libraries</a> </p> <a href="https://publications.waset.org/abstracts/36155/performance-of-neural-networks-vs-radial-basis-functions-when-forming-a-metamodel-for-residential-buildings" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/36155.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">447</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">316</span> SCANet: A Workflow for Single-Cell Co-Expression Based Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mhaned%20Oubounyt">Mhaned Oubounyt</a>, <a href="https://publications.waset.org/abstracts/search?q=Jan%20Baumbach"> Jan Baumbach</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Differences in co-expression networks between two or multiple cells (sub)types across conditions is a pressing problem in single-cell RNA sequencing (scRNA-seq). A key challenge is to define those co-variations that differ between or among cell types and/or conditions and phenotypes to examine small regulatory networks that can explain mechanistic differences. To this end, we developed SCANet, an all-in-one Python package that uses state-of-the-art algorithms to facilitate the workflow of a combined single-cell GCN (Gene Correlation Network) and GRN (Gene Regulatory Networks) pipeline, including inference of gene co-expression modules from scRNA-seq, followed by trait and cell type associations, hub gene detection, co-regulatory networks, and drug-gene interactions. In an example case, we illustrate how SCANet can be applied to identify regulatory drivers behind a cytokine storm associated with mortality in patients with acute respiratory illness. SCANet is available as a free, open-source, and user-friendly Python package that can be easily integrated into systems biology pipelines. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=single-cell" title="single-cell">single-cell</a>, <a href="https://publications.waset.org/abstracts/search?q=co-expression%20networks" title=" co-expression networks"> co-expression networks</a>, <a href="https://publications.waset.org/abstracts/search?q=drug-gene%20interactions" title=" drug-gene interactions"> drug-gene interactions</a>, <a href="https://publications.waset.org/abstracts/search?q=co-regulatory%20networks" title=" co-regulatory networks"> co-regulatory networks</a> </p> <a href="https://publications.waset.org/abstracts/161853/scanet-a-workflow-for-single-cell-co-expression-based-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161853.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">315</span> Automated Computer-Vision Analysis Pipeline of Calcium Imaging Neuronal Network Activity Data</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=David%20Oluigbo">David Oluigbo</a>, <a href="https://publications.waset.org/abstracts/search?q=Erik%20Hemberg"> Erik Hemberg</a>, <a href="https://publications.waset.org/abstracts/search?q=Nathan%20Shwatal"> Nathan Shwatal</a>, <a href="https://publications.waset.org/abstracts/search?q=Wenqi%20Ding"> Wenqi Ding</a>, <a href="https://publications.waset.org/abstracts/search?q=Yin%20Yuan"> Yin Yuan</a>, <a href="https://publications.waset.org/abstracts/search?q=Susanna%20Mierau"> Susanna Mierau</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Introduction: Calcium imaging is an established technique in neuroscience research for detecting activity in neural networks. Bursts of action potentials in neurons lead to transient increases in intracellular calcium visualized with fluorescent indicators. Manual identification of cell bodies and their contours by experts typically takes 10-20 minutes per calcium imaging recording. Our aim, therefore, was to design an automated pipeline to facilitate and optimize calcium imaging data analysis. Our pipeline aims to accelerate cell body and contour identification and production of graphical representations reflecting changes in neuronal calcium-based fluorescence. Methods: We created a Python-based pipeline that uses OpenCV (a computer vision Python package) to accurately (1) detect neuron contours, (2) extract the mean fluorescence within the contour, and (3) identify transient changes in the fluorescence due to neuronal activity. The pipeline consisted of 3 Python scripts that could both be easily accessed through a Python Jupyter notebook. In total, we tested this pipeline on ten separate calcium imaging datasets from murine dissociate cortical cultures. We next compared our automated pipeline outputs with the outputs of manually labeled data for neuronal cell location and corresponding fluorescent times series generated by an expert neuroscientist. Results: Our results show that our automated pipeline efficiently pinpoints neuronal cell body location and neuronal contours and provides a graphical representation of neural network metrics accurately reflecting changes in neuronal calcium-based fluorescence. The pipeline detected the shape, area, and location of most neuronal cell body contours by using binary thresholding and grayscale image conversion to allow computer vision to better distinguish between cells and non-cells. Its results were also comparable to manually analyzed results but with significantly reduced result acquisition times of 2-5 minutes per recording versus 10-20 minutes per recording. Based on these findings, our next step is to precisely measure the specificity and sensitivity of the automated pipeline’s cell body and contour detection to extract more robust neural network metrics and dynamics. Conclusion: Our Python-based pipeline performed automated computer vision-based analysis of calcium image recordings from neuronal cell bodies in neuronal cell cultures. Our new goal is to improve cell body and contour detection to produce more robust, accurate neural network metrics and dynamic graphs. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=calcium%20imaging" title="calcium imaging">calcium imaging</a>, <a href="https://publications.waset.org/abstracts/search?q=computer%20vision" title=" computer vision"> computer vision</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20activity" title=" neural activity"> neural activity</a>, <a href="https://publications.waset.org/abstracts/search?q=neural%20networks" title=" neural networks"> neural networks</a> </p> <a href="https://publications.waset.org/abstracts/161680/automated-computer-vision-analysis-pipeline-of-calcium-imaging-neuronal-network-activity-data" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/161680.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">82</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">314</span> Exact Energy Spectrum and Expectation Values of the Inverse Square Root Potential Model</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Benedict%20Ita">Benedict Ita</a>, <a href="https://publications.waset.org/abstracts/search?q=Peter%20Okoi"> Peter Okoi</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, the concept of the extended Nikiforov-Uvarov technique is discussed and employed to obtain the exact bound state energy eigenvalues and the corresponding normalized eigenfunctions of the inverse square root potential. With expressions for the exact energy eigenvalues and corresponding eigenfunctions, the expressions for the expectation values of the inverse separation-squared, kinetic energy, and the momentum-squared of the potential are presented using the Hellmann Feynman theorem. For visualization, algorithms written and implemented in Python language are used to generate tables and plots for l-states of the energy eigenvalues and some expectation values. The results obtained here may find suitable applications in areas like atomic and molecular physics, chemical physics, nuclear physics, and solid-state physics. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Schrodinger%20equation" title="Schrodinger equation">Schrodinger equation</a>, <a href="https://publications.waset.org/abstracts/search?q=Nikoforov-Uvarov%20method" title=" Nikoforov-Uvarov method"> Nikoforov-Uvarov method</a>, <a href="https://publications.waset.org/abstracts/search?q=inverse%20square%20root%20potential" title=" inverse square root potential"> inverse square root potential</a>, <a href="https://publications.waset.org/abstracts/search?q=diatomic%20molecules" title=" diatomic molecules"> diatomic molecules</a>, <a href="https://publications.waset.org/abstracts/search?q=Python%20programming" title=" Python programming"> Python programming</a>, <a href="https://publications.waset.org/abstracts/search?q=Hellmann-Feynman%20theorem" title=" Hellmann-Feynman theorem"> Hellmann-Feynman theorem</a>, <a href="https://publications.waset.org/abstracts/search?q=second%20order%20differential%20equation" title=" second order differential equation"> second order differential equation</a>, <a href="https://publications.waset.org/abstracts/search?q=matrix%20algebra" title=" matrix algebra"> matrix algebra</a> </p> <a href="https://publications.waset.org/abstracts/192989/exact-energy-spectrum-and-expectation-values-of-the-inverse-square-root-potential-model" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/192989.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">19</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">313</span> MSIpred: A Python 2 Package for the Classification of Tumor Microsatellite Instability from Tumor Mutation Annotation Data Using a Support Vector Machine</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Chen%20Wang">Chen Wang</a>, <a href="https://publications.waset.org/abstracts/search?q=Chun%20Liang"> Chun Liang</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Microsatellite instability (MSI) is characterized by high degree of polymorphism in microsatellite (MS) length due to a deficiency in mismatch repair (MMR) system. MSI is associated with several tumor types and its status can be considered as an important indicator for tumor prognostic. Conventional clinical diagnosis of MSI examines PCR products of a panel of MS markers using electrophoresis (MSI-PCR) which is laborious, time consuming, and less reliable. MSIpred, a python 2 package for automatic classification of MSI was released by this study. It computes important somatic mutation features from files in mutation annotation format (MAF) generated from paired tumor-normal exome sequencing data, subsequently using these to predict tumor MSI status with a support vector machine (SVM) classifier trained by MAF files of 1074 tumors belonging to four types. Evaluation of MSIpred on an independent 358-tumor test set achieved overall accuracy of over 98% and area under receiver operating characteristic (ROC) curve of 0.967. These results indicated that MSIpred is a robust pan-cancer MSI classification tool and can serve as a complementary diagnostic to MSI-PCR in MSI diagnosis. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=microsatellite%20instability" title="microsatellite instability">microsatellite instability</a>, <a href="https://publications.waset.org/abstracts/search?q=pan-cancer%20classification" title=" pan-cancer classification"> pan-cancer classification</a>, <a href="https://publications.waset.org/abstracts/search?q=somatic%20mutation" title=" somatic mutation"> somatic mutation</a>, <a href="https://publications.waset.org/abstracts/search?q=support%20vector%20machine" title=" support vector machine"> support vector machine</a> </p> <a href="https://publications.waset.org/abstracts/93236/msipred-a-python-2-package-for-the-classification-of-tumor-microsatellite-instability-from-tumor-mutation-annotation-data-using-a-support-vector-machine" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/93236.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">173</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">312</span> Formative Assessment in an Introductory Python Programming Course</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mar%C3%ADa%20Jos%C3%A9%20N%C3%BA%C3%B1ez-Ruiz">María José Núñez-Ruiz</a>, <a href="https://publications.waset.org/abstracts/search?q=Luis%20%C3%81lvarez-Gonz%C3%A1lez"> Luis Álvarez-González</a>, <a href="https://publications.waset.org/abstracts/search?q=Cristian%20Olivares-Rodriguez"> Cristian Olivares-Rodriguez</a>, <a href="https://publications.waset.org/abstracts/search?q=Benjamin%20Lazo-Letelier"> Benjamin Lazo-Letelier</a> </p> <p class="card-text"><strong>Abstract:</strong></p> This paper begins with some concept of formative assessment and the relationship with learning objective: contents objectives, processes objectives, and metacognitive objectives. Two methodologies are describes Evidence-Based teaching and Question Drive Instruction. To do formative assessments in larges classes a Classroom Response System (CRS) is needed. But most of CRS use only Multiple Choice Questions (MCQ), True/False question, or text entry; however, this is insufficient to formative assessment. To do that a new CRS, call FAMA was developed. FAMA support six types of questions: Choice, Order, Inline choice, Text entry, Associated, and Slider. An experiment participated in 149 students from four engineering careers. For results, Kendall's Range Correlation Analysis and descriptive analysis was done. In conclusion, there is a strong relation between contents question, process questions (ask in formative assessment without a score) and metacognitive questions, asked in summative assessment. As future work, the lecturer can do personalized teaching, because knows the behavior of all students in each formative assessment <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Python%20language" title="Python language">Python language</a>, <a href="https://publications.waset.org/abstracts/search?q=formative%20assessment" title=" formative assessment"> formative assessment</a>, <a href="https://publications.waset.org/abstracts/search?q=classroom%20response%20systems" title=" classroom response systems"> classroom response systems</a>, <a href="https://publications.waset.org/abstracts/search?q=evidence-Based%20teaching" title=" evidence-Based teaching"> evidence-Based teaching</a>, <a href="https://publications.waset.org/abstracts/search?q=question%20drive%20instruction" title=" question drive instruction"> question drive instruction</a> </p> <a href="https://publications.waset.org/abstracts/120270/formative-assessment-in-an-introductory-python-programming-course" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/120270.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">132</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">311</span> A Computational Fluid Dynamics Study of Turbulence Flow and Parameterization of an Aerofoil</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Mohamed%20Z.%20M.%20Duwahir">Mohamed Z. M. Duwahir</a>, <a href="https://publications.waset.org/abstracts/search?q=Shian%20Gao"> Shian Gao</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The main objective of this project was to introduce and test a new scheme for parameterization of subsonic aerofoil, using a function called Shape Function. Python programming was used to create a user interactive environment for geometry generation of aerofoil using NACA and Shape Function methodologies. Two aerofoils, NACA 0012 and NACA 1412, were generated using this function. Testing the accuracy of the Shape Function scheme was done by Linear Square Fitting using Python and CFD modelling the aerofoil in Fluent. NACA 0012 (symmetrical aerofoil) was better approximated using Shape Function than NACA 1412 (cambered aerofoil). The second part of the project involved comparing two turbulent models, k-ε and Spalart-Allmaras (SA), in Fluent by modelling the aerofoils NACA 0012 and NACA 1412 in conditions of Reynolds number of 3 × 106. It was shown that SA modelling is better for aerodynamic purpose. The experimental coefficient of lift (Cl) and coefficient of drag (Cd) were compared with empirical wind tunnel data for a range of angle of attack (AOA). As a further step, this project involved drawing and meshing 3D wings in Gambit. The 3D wing flow was solved and compared with 2D aerofoil section experimental results and wind tunnel data. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=CFD%20simulation" title="CFD simulation">CFD simulation</a>, <a href="https://publications.waset.org/abstracts/search?q=shape%20function" title=" shape function"> shape function</a>, <a href="https://publications.waset.org/abstracts/search?q=turbulent%20modelling" title=" turbulent modelling"> turbulent modelling</a>, <a href="https://publications.waset.org/abstracts/search?q=aerofoil" title=" aerofoil"> aerofoil</a> </p> <a href="https://publications.waset.org/abstracts/75069/a-computational-fluid-dynamics-study-of-turbulence-flow-and-parameterization-of-an-aerofoil" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/75069.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">358</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">310</span> Air Quality Analysis Using Machine Learning Models Under Python Environment</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Salahaeddine%20Sbai">Salahaeddine Sbai</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Air quality analysis using machine learning models is a method employed to assess and predict air pollution levels. This approach leverages the capabilities of machine learning algorithms to analyze vast amounts of air quality data and extract valuable insights. By training these models on historical air quality data, they can learn patterns and relationships between various factors such as weather conditions, pollutant emissions, and geographical features. The trained models can then be used to predict air quality levels in real-time or forecast future pollution levels. This application of machine learning in air quality analysis enables policymakers, environmental agencies, and the general public to make informed decisions regarding health, environmental impact, and mitigation strategies. By understanding the factors influencing air quality, interventions can be implemented to reduce pollution levels, mitigate health risks, and enhance overall air quality management. Climate change is having significant impacts on Morocco, affecting various aspects of the country's environment, economy, and society. In this study, we use some machine learning models under python environment to predict and analysis air quality change over North of Morocco to evaluate the climate change impact on agriculture. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=air%20quality" title="air quality">air quality</a>, <a href="https://publications.waset.org/abstracts/search?q=machine%20learning%20models" title=" machine learning models"> machine learning models</a>, <a href="https://publications.waset.org/abstracts/search?q=pollution" title=" pollution"> pollution</a>, <a href="https://publications.waset.org/abstracts/search?q=pollutant%20emissions" title=" pollutant emissions"> pollutant emissions</a> </p> <a href="https://publications.waset.org/abstracts/167475/air-quality-analysis-using-machine-learning-models-under-python-environment" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167475.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">91</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">309</span> Modeling Bessel Beams and Their Discrete Superpositions from the Generalized Lorenz-Mie Theory to Calculate Optical Forces over Spherical Dielectric Particles</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Leonardo%20A.%20Ambrosio">Leonardo A. Ambrosio</a>, <a href="https://publications.waset.org/abstracts/search?q=Carlos.%20H.%20Silva%20Santos"> Carlos. H. Silva Santos</a>, <a href="https://publications.waset.org/abstracts/search?q=Ivan%20E.%20L.%20Rodrigues"> Ivan E. L. Rodrigues</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayumi%20K.%20de%20Campos"> Ayumi K. de Campos</a>, <a href="https://publications.waset.org/abstracts/search?q=Leandro%20A.%20Machado"> Leandro A. Machado</a> </p> <p class="card-text"><strong>Abstract:</strong></p> In this work, we propose an algorithm developed under Python language for the modeling of ordinary scalar Bessel beams and their discrete superpositions and subsequent calculation of optical forces exerted over dielectric spherical particles. The mathematical formalism, based on the generalized Lorenz-Mie theory, is implemented in Python for its large number of free mathematical (as SciPy and NumPy), data visualization (Matplotlib and PyJamas) and multiprocessing libraries. We also propose an approach, provided by a synchronized Software as Service (SaaS) in cloud computing, to develop a user interface embedded on a mobile application, thus providing users with the necessary means to easily introduce desired unknowns and parameters and see the graphical outcomes of the simulations right at their mobile devices. Initially proposed as a free Android-based application, such an App enables data post-processing in cloud-based architectures and visualization of results, figures and numerical tables. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=Bessel%20Beams%20and%20Frozen%20Waves" title="Bessel Beams and Frozen Waves">Bessel Beams and Frozen Waves</a>, <a href="https://publications.waset.org/abstracts/search?q=Generalized%20Lorenz-Mie%20Theory" title=" Generalized Lorenz-Mie Theory"> Generalized Lorenz-Mie Theory</a>, <a href="https://publications.waset.org/abstracts/search?q=Numerical%20Methods" title=" Numerical Methods"> Numerical Methods</a>, <a href="https://publications.waset.org/abstracts/search?q=optical%20forces" title=" optical forces"> optical forces</a> </p> <a href="https://publications.waset.org/abstracts/43572/modeling-bessel-beams-and-their-discrete-superpositions-from-the-generalized-lorenz-mie-theory-to-calculate-optical-forces-over-spherical-dielectric-particles" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/43572.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">380</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">308</span> Random Forest Classification for Population Segmentation</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Regina%20Chua">Regina Chua</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To reduce the costs of re-fielding a large survey, a Random Forest classifier was applied to measure the accuracy of classifying individuals into their assigned segments with the fewest possible questions. Given a long survey, one needed to determine the most predictive ten or fewer questions that would accurately assign new individuals to custom segments. Furthermore, the solution needed to be quick in its classification and usable in non-Python environments. In this paper, a supervised Random Forest classifier was modeled on a dataset with 7,000 individuals, 60 questions, and 254 features. The Random Forest consisted of an iterative collection of individual decision trees that result in a predicted segment with robust precision and recall scores compared to a single tree. A random 70-30 stratified sampling for training the algorithm was used, and accuracy trade-offs at different depths for each segment were identified. Ultimately, the Random Forest classifier performed at 87% accuracy at a depth of 10 with 20 instead of 254 features and 10 instead of 60 questions. With an acceptable accuracy in prioritizing feature selection, new tools were developed for non-Python environments: a worksheet with a formulaic version of the algorithm and an embedded function to predict the segment of an individual in real-time. Random Forest was determined to be an optimal classification model by its feature selection, performance, processing speed, and flexible application in other environments. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=machine%20learning" title="machine learning">machine learning</a>, <a href="https://publications.waset.org/abstracts/search?q=supervised%20learning" title=" supervised learning"> supervised learning</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20science" title=" data science"> data science</a>, <a href="https://publications.waset.org/abstracts/search?q=random%20forest" title=" random forest"> random forest</a>, <a href="https://publications.waset.org/abstracts/search?q=classification" title=" classification"> classification</a>, <a href="https://publications.waset.org/abstracts/search?q=prediction" title=" prediction"> prediction</a>, <a href="https://publications.waset.org/abstracts/search?q=predictive%20modeling" title=" predictive modeling"> predictive modeling</a> </p> <a href="https://publications.waset.org/abstracts/154919/random-forest-classification-for-population-segmentation" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/154919.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">94</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">307</span> NextCovps: Design and Stress Analysis of Dome Composite Overwrapped Pressure Vessels using Geodesic Trajectory Approach</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ammar%20Maziz">Ammar Maziz</a>, <a href="https://publications.waset.org/abstracts/search?q=Prateek%20Gupta"> Prateek Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Thiago%20Vasconcellos%20Birro"> Thiago Vasconcellos Birro</a>, <a href="https://publications.waset.org/abstracts/search?q=Benoit%20Gely"> Benoit Gely</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Hydrogen as a sustainable fuel has the highest energy density per mass as compared to conventional non-renewable sources. As the world looks to move towards sustainability, especially in the sectors of aviation and automotive, it becomes important to address the issue of storage of hydrogen as compressed gas in high-pressure tanks. To improve the design for the efficient storage and transportation of Hydrogen, this paper presents the design and stress analysis of Dome Composite Overwrapped Pressure Vessels (COPVs) using the geodesic trajectory approach. The geodesic trajectory approach is used to optimize the dome design, resulting in a lightweight and efficient structure. Python scripting is employed to implement the mathematical modeling of the COPV, and after validating the model by comparison to the published paper, stress analysis is conducted using Abaqus commercial code. The results demonstrate the effectiveness of the geodesic trajectory approach in achieving a lightweight and structurally sound dome design, as well as the accuracy and reliability of the stress analysis using Abaqus commercial code. This study provides insights into the design and analysis of COPVs for aerospace applications, with the potential for further optimization and application in other industries. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=composite%20overwrapped%20pressure%20vessels" title="composite overwrapped pressure vessels">composite overwrapped pressure vessels</a>, <a href="https://publications.waset.org/abstracts/search?q=carbon%20fiber" title=" carbon fiber"> carbon fiber</a>, <a href="https://publications.waset.org/abstracts/search?q=geodesic%20trajectory%20approach" title=" geodesic trajectory approach"> geodesic trajectory approach</a>, <a href="https://publications.waset.org/abstracts/search?q=dome%20design" title=" dome design"> dome design</a>, <a href="https://publications.waset.org/abstracts/search?q=stress%20analysis" title=" stress analysis"> stress analysis</a>, <a href="https://publications.waset.org/abstracts/search?q=plugin%20python" title=" plugin python"> plugin python</a> </p> <a href="https://publications.waset.org/abstracts/167305/nextcovps-design-and-stress-analysis-of-dome-composite-overwrapped-pressure-vessels-using-geodesic-trajectory-approach" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/167305.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">92</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">306</span> Finite Element Modelling of a 3D Woven Composite for Automotive Applications</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ahmad%20R.%20Zamani">Ahmad R. Zamani</a>, <a href="https://publications.waset.org/abstracts/search?q=Luigi%20Sanguigno"> Luigi Sanguigno</a>, <a href="https://publications.waset.org/abstracts/search?q=Angelo%20R.%20Maligno"> Angelo R. Maligno</a> </p> <p class="card-text"><strong>Abstract:</strong></p> A 3D woven composite, designed for automotive applications, is studied using Abaqus Finite Element (FE) software suite. Python scripts were developed to build FE models of the woven composite in Complete Abaqus Environment (CAE). They can read TexGen or WiseTex files and automatically generate consistent meshes of the fabric and the matrix. A user menu is provided to help define parameters for the FE models, such as type and size of the elements in fabric and matrix as well as the type of matrix-fabric interaction. Node-to-node constraints were imposed to guarantee periodicity of the deformed shapes at the boundaries of the representative volume element of the composite. Tensile loads in three axes and biaxial loads in <em>x-y</em> directions have been applied at different Fibre Volume Fractions (FVFs). A simple damage model was implemented via an Abaqus user material (UMAT) subroutine. Existing tools for homogenization were also used, including voxel mesh generation from TexGen as well as Abaqus Micromechanics plugin. Linear relations between homogenised elastic properties and the FVFs are given. The FE models of composite exhibited balanced behaviour with respect to warp and weft directions in terms of both stiffness and strength. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=3D%20woven%20composite%20%283DWC%29" title="3D woven composite (3DWC)">3D woven composite (3DWC)</a>, <a href="https://publications.waset.org/abstracts/search?q=meso-scale%20finite%20element%20model" title=" meso-scale finite element model"> meso-scale finite element model</a>, <a href="https://publications.waset.org/abstracts/search?q=homogenisation%20of%20elastic%20material%20properties" title=" homogenisation of elastic material properties"> homogenisation of elastic material properties</a>, <a href="https://publications.waset.org/abstracts/search?q=Abaqus%20Python%20scripting" title=" Abaqus Python scripting"> Abaqus Python scripting</a> </p> <a href="https://publications.waset.org/abstracts/129252/finite-element-modelling-of-a-3d-woven-composite-for-automotive-applications" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/129252.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">145</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">305</span> Information Technology Approaches to Literature Text Analysis</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Ayse%20Tarhan">Ayse Tarhan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mustafa%20Ilkan"> Mustafa Ilkan</a>, <a href="https://publications.waset.org/abstracts/search?q=Mohammad%20Karimzadeh"> Mohammad Karimzadeh</a> </p> <p class="card-text"><strong>Abstract:</strong></p> Science was considered as part of philosophy in ancient Greece. By the nineteenth century, it was understood that philosophy was very inclusive and that social and human sciences such as literature, history, and psychology should be separated and perceived as an autonomous branch of science. The computer was also first seen as a tool of mathematical science. Over time, computer science has grown by encompassing every area in which technology exists, and its growth compelled the division of computer science into different disciplines, just as philosophy had been divided into different branches of science. Now there is almost no branch of science in which computers are not used. One of the newer autonomous disciplines of computer science is digital humanities, and one of the areas of digital humanities is literature. The material of literature is words, and thanks to the software tools created using computer programming languages, data that a literature researcher would need months to complete, can be achieved quickly and objectively. In this article, three different tools that literary researchers can use in their work will be introduced. These studies were created with the computer programming languages Python and R and brought to the world of literature. The purpose of introducing the aforementioned studies is to set an example for the development of special tools or programs on Ottoman language and literature in the future and to support such initiatives. The first example to be introduced is the Stylometry tool developed with the R language. The other is The Metrical Tool, which is used to measure data in poems and was developed with Python. The latest literature analysis tool in this article is Voyant Tools, which is a multifunctional and easy-to-use tool. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=DH" title="DH">DH</a>, <a href="https://publications.waset.org/abstracts/search?q=literature" title=" literature"> literature</a>, <a href="https://publications.waset.org/abstracts/search?q=information%20technologies" title=" information technologies"> information technologies</a>, <a href="https://publications.waset.org/abstracts/search?q=stylometry" title=" stylometry"> stylometry</a>, <a href="https://publications.waset.org/abstracts/search?q=the%20metrical%20tool" title=" the metrical tool"> the metrical tool</a>, <a href="https://publications.waset.org/abstracts/search?q=voyant%20tools" title=" voyant tools"> voyant tools</a> </p> <a href="https://publications.waset.org/abstracts/144484/information-technology-approaches-to-literature-text-analysis" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/144484.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">151</span> </span> </div> </div> <div class="card paper-listing mb-3 mt-3"> <h5 class="card-header" style="font-size:.9rem"><span class="badge badge-info">304</span> Development and State in Brazil: How Do Some Institutions Think and Influence These Issues</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Alessandro%20Andre%20Leme">Alessandro Andre Leme</a> </p> <p class="card-text"><strong>Abstract:</strong></p> To analyze three Brazilian think tanks: a) Fernando Henrique Foundation; b) Celso Furtado International Center; c) Millennium Institute and how they dispute interpretations about the type of development and State that should be adopted in Brazil. We will make use of Network and content analysis of the sites. The analyzes show a dispute that goes from a defense of ultraliberalism to developmentalism, going through a hybrid between State and Market voiced in each of the Think Tanks. <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=sociopolitical%20and%20economic%20thinking" title="sociopolitical and economic thinking">sociopolitical and economic thinking</a>, <a href="https://publications.waset.org/abstracts/search?q=development" title=" development"> development</a>, <a href="https://publications.waset.org/abstracts/search?q=strategies" title=" strategies"> strategies</a>, <a href="https://publications.waset.org/abstracts/search?q=intellectuals" title=" intellectuals"> intellectuals</a>, <a href="https://publications.waset.org/abstracts/search?q=state" title=" state"> state</a> </p> <a href="https://publications.waset.org/abstracts/153525/development-and-state-in-brazil-how-do-some-institutions-think-and-influence-these-issues" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/153525.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">150</span> </span> </div> </div> <ul class="pagination"> <li class="page-item disabled"><span class="page-link">&lsaquo;</span></li> <li class="page-item active"><span class="page-link">1</span></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Python&page=2">2</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Python&page=3">3</a></li> <li class="page-item"><a class="page-link" href="https://publications.waset.org/abstracts/search?q=Andr%C3%A9%20Python&page=4">4</a></li> <li class="page-item"><a class="page-link" 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