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Supervised machine learning classification algorithms for detection of fracture location in dissimilar friction stir welded joints

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FRATTURA ED INTEGRITA STRUTTURALE-FRACTURE AND STRUCTURAL INTEGRITY 2021年第58期15卷 242-253页

作者： Mishra, Akshansh Vats, Apoorv Stir Res Technol Ctr Artificial Intelligent Mfg Syst Maharajganj India Jaypee Univ Informat Technol Dept Comp Sci & Engn Waknaghat India

Machine Learning focuses on the study of algorithms that are mathematical or statistical in nature in order to extract the required information pattern from the available data. Supervised Machine Learning algorithms are further sub-divided into two types i.e. regression algorithms and classification algorithms. In the present study, four supervised machine learning-based classification models i.e. Decision Trees algorithm, K-Nearest Neighbors (KNN) algorithm, Support Vector Machines (SVM) algorithm, and Ada Boost algorithm were subjected to the given dataset for the determination of fracture location in dissimilar Friction Stir Welded AA6061-T651 and AA7075-T651 alloy. In the given dataset, rotational speed (RPM), welding speed (mm/min), pin profile, and axial force (kN) were the input parameters while Fracture location is the output parameter. The obtained results showed that the Support Vector Machine (SVM) algorithm classified the fracture location with a good accuracy score of 0.889 in comparison to the other algorithms.

关键词： Fracture Location Machine Learning Classification Friction Stir Welding Dissimilar Joints python programming

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Securing Cloud Emails Using Two Factor Authentication Based on Password/Apps in Cloud Computing

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INTERNATIONAL JOURNAL OF SECURITY AND ITS APPLICATIONS 2015年第3期9卷 121-130页

作者： Virgile, Kayigana Yu, Huiqun E China Univ Sci & Technol Dept Comp Sci & Engn Shanghai 200237 Peoples R China Shanghai Key Lab Comp Software Evaluating & Testi Shanghai 201112 Peoples R China

Cloud computing has been extending extensively, involving multiple users on the service it provides. Cloud based email is one of services provided by cloud computing with number of users expanding on yearly basis. Cloud computing faces concerning problem of security and privacy mainly based on its working environment. Identity authentication is one reliable method in cloud environment to identify users requesting for cloud services, currently user authentication in cloud computing is based on the credentials possessed by the user mostly username & password. However, this method has vulnerability of being compromised by illegitimate users when users' passwords have been revealed or cracked. The paper proposes a more secure structure, i.e the two-factor authentication which authenticates by requiring the username/password pair also needs a second factor to completely grant access. The second factor is App stored in users' smart devices. Username & password/Apps method will continue to allow users to set up passwords for their accounts, it will make a random compulsory code to be entered through App on smart phone devices hence keep privacy of cloud emails. Testing has been done with help of python program environment. Comparing to recent related proposed schemes, our proposed scheme has advantage of high unbreakable security feature with low implement cost.

关键词： App multifactor authentication Biometric authentication illegitimate users cloud emails Identity authentication python programming DES algorithm

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Creating Instructional Elementary programming Videos for Use in an Adaptive Testing and Remediation System 2024

Creating Instructional Elementary Programming Videos for Use...

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Proceedings of the 55th ACM Technical Symposium on Computer Science Education V. 2

作者： Abigail Jones Manogya Aryal Justin Selby Seth Adjei Northern Kentucky University Highland Heights KY USA

ISBN: (纸本)9798400704246

In computer science undergraduate programs, the first course often focuses on elementary computer programming. However, students' backgrounds can be diverse, leading to challenges in understanding the course material. We discuss our initial steps to improve elementary programming instruction by using instructional videos. A team of three content creators developed a series of instructional videos, covering forty different programming skills. These videos span various topics, from creating and running basic python programs to understanding and creating functions. To assist elementary programming students, we plan to integrate these videos with PLACEments, an adaptive assessment and remediation system designed to help students bridge knowledge gaps. If a student answers a question incorrectly, a relevant video is provided as support. The three content creators peer reviewed the others' instructional videos according to an educational video assessment framework. These results were also standardized through a z-score to account for any reviewer biases. The initial results from the peer review are promising. However, more information will be collected as the videos are deployed through PLACEments and tested by students currently taking an elementary programming course.

关键词： elementary programming python programming undergraduate education video instruction

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On the Naming Recommendations Derived from Expert python Code 21

On the Naming Recommendations Derived from Expert Python Cod...

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Proceedings of the 13th International Conference on Education Technology and Computers

作者： Zi Wang Ali Alsam Donn Morrison Knut Arne Strand Department of Computer Science Norwegian University of Science and Technology Norway

ISBN: (纸本)9781450385114

python's naming convention provides suggestions on naming style, but these suggestions are not always clear for beginners who struggle to understand the usefulness of the conventions. In this research, we studied two properties that affect naming, namely, name-length and style. We analyzed python code from five professional project libraries and compared the name statistics with those obtained from student code. Our results show that, compared to students' work, expert developers use longer names (more descriptive) and are more closely compliant with the existing python naming convention. This research provides specific recommendations on the length and style of naming integers, floats, data structures, functions, function arguments and classes for students of python.

关键词： python programming Identifier naming Naming conventions

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Emotional Analysis of E-Commerce Online Comment Data

Emotional Analysis of E-Commerce Online Comment Data

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作者： Lili Jin Management Department South China College Guangdong University of Foreign Studies

Introducing text emotion analysis into e-commerce online comment data can judge the emotional tendency of e-commerce online comments. At the same time, the application of python Jieba participle and LDA topic model enables more detailed understanding of the emotional changes in online comments of e-commerce. Taking product reviews of Midea water heater on *** as an example, the empirical analysis shows that the online product review, by introducing text sentiment analysis, determines the consumer emotion tendency, which can help with the electric business improvement project for merchants to provide accurate marketing, set up new businesses evaluation way, dynamically monitor customer emotional tendency, and timely grasp the emotional trend of E-commerce industry.

关键词： LDA Topic Model python programming Online Review of E-Commerce Emotional Analysis

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Two Simple Experiments Using FFT with Digital Devices in the Introductory Physics Laboratory

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The Physics Educator 2023年第3期5卷

作者： Tufino, Eugenio Gratton, Luigi Oss, Stefano Physics Department University of Trento Trento Povo 38123 Italy

We propose two experiments suited for high school and/or undergraduate physics laboratory which are aimed at the discovery of the practical meaning and utility of the FFT analysis as a mathematical and graphical instrument. They intend to discriminate different periodic signals in various situations, ranging from basic, demonstrative measurements to very complex, real-research experiments. In our proposal, inexpensive digital instruments can be used, with surprisingly accurate results. © 2023 World Scientific Publishing Company.

关键词： digital devices Fourier Transform gravitational waves detection Michelson Interferometer python programming signal theory

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"I am a cultural teaching method - I was Successful in the ICT Class in the Global South"

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COGENT EDUCATION 2022年第1期9卷 Article: 2134704页

作者： Awaah, Fred Okebukola, Peter Shabani, Juma Solarin, Daniel Okyere, Ekwam Emmanuel Univ Profess Studies Dept Business Adeministrat Accra Poland Lagos State Univ Africa Ctr Excellence Innovat & Transformat STEM Ikeja Nigeria Univ Burundi Bujumbura Doctoral Sch Bujumbura Burundi

The Culturo-Techno-Contextual Approach (CTCA) is a teaching method based on culture, technology, and context to ease difficulties in students' understanding of concepts. python programming as a concept in computer studies is difficult for students to understand at the secondary school level. This study investigates the efficacy of the CTCA in understanding python programming in the Nigerian computer science education curriculum. This study adopts a quantitative approach. Analysis of covariance procedure is applied to the data with pretest scores inserted as the Covariate. The results show that the experimental group significantly outperformed the control group. Thus, our findings reveal a statistically significant difference in academic achievement in python programming of students taught using CTCA and those taught using the lecture method, regardless of gender. The novelty of this study is hinged on the testing of a cultural teaching method in easing the difficulties relative to the study of python programming. This study, therefore, provides empirical evidence for the adoption of the CTCA in computer education.

关键词： python programming Culturo- Techno-Contextual Approach computer science CAossMark

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Algorithm based determination of the Planck’s constant

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Physics Education 2023年第4期58卷 045003-045003页

作者： Korpal, Smita Aggarwal, Anmol Arora, Ajay Kumar Anand, Jyoti Verma, Maya Haridas, Divya Keshav Mahavidyalaya University of Delhi New Delhi 110034 India Delhi Technological University New Delhi 110042 India Hansraj College University of Delhi Delhi 110007 India

In this paper we report a novel method for determining the Planck’s constant experimentally. We have determined the Planck’s constant using light emitting diodes (LEDs) of four different colours (Red, Green, Yellow and Blue) with the aid of a python programming. The LEDs were not provided with a specific wavelength value, and they could have any arbitrary wavelength in their respective colour bands. We determined the wavelengths of the LED lights using a python program and calculated the value of the Planck’s constant using them. The value obtained was compared with the Planck’s constant value determined using a traditional method being followed in undergraduate labs and its actual value. The relative error while reporting the value of Planck’s constant using traditional method was around 18% which was reduced to 6% by using the method reported in the present study. © 2023 IOP Publishing Ltd.

关键词： LEDs Planck’s constant python programming

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A fuzzy cognitive map approach to predict the hazardous effects of malathion to environment (air, water and soil)

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Chemosphere 2021年 263卷 127926页

作者： S Poomagal R Sujatha P Senthil Kumar Dai-Viet N Vo Department of Mathematics Anna University Chennai: University College of Engineering Kanchipuram Kanchipuram India. Electronic address: poomagal777@***. Department of Mathematics Sri Sivasubramaniya Nadar College of Engineering Chennai India SSN-Centre for Radiation Environmental Science and Technology (SSN-CREST) Sri Sivasubramaniya Nadar College of Engineering Chennai 603110 India. Electronic address: sujathar@ssn.edu.in. SSN-Centre for Radiation Environmental Science and Technology (SSN-CREST) Sri Sivasubramaniya Nadar College of Engineering Chennai 603110 India Department of Chemical Engineering Sri Sivasubramaniya Nadar College of Engineering Chennai India. Electronic address: senthilkumarp@ssn.edu.in. Center of Excellence for Green Energy and Environmental Nanomaterials (CE@GrEEN) Nguyen Tat Thanh University Ho Chi Minh City Viet Nam. Electronic address: vo.nguyen.dai.viet@***.

Malathion is an organophosphorus insecticide and pesticide commonly used in crops and residential applications. The negative effects of Malathion on human health and ecosystems are of great concern. In this work, a mathematical model pivot on Fuzzy Cognitive Map (FCM) is used to analyse the causes and hazardous effects of Malathion to the environmental components (air, water and soil). Based on expert's opinion the possible factors that cause damage to health and ecosystems due to Malathion is identified, which serve as the input to the FCM. The FCM mathematically establishes the causal relation between these factors. The mathematical simulation is done by python programming. This approach can be used to study the interdependencies between the adverse effects of any pesticide in human health and environment due to prolonged exposure.

关键词： Biotransformation Fuzzy cognitive maps Malathion Mathematical modelling python programming

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Comparative study on damping performance of different shape memory polymers

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Materials Today: Proceedings 2023年

作者： Prasanth Kumar Mallipudi Simhadri Phani Kumar Betha Hemanth Department of Mechanical Engineering ANITS Visakhapatnam 531162 India

Vibration analysis using an unconstrained layer damping for surface damping treatment is presented in the paper. The layer made of viscoelstic material is applied over the structure on single side known as an unsymmetrical unconstrained layer damping treatment is discussed along with the same material is glued on two sides of the surface called as symmetrical unconstrained layer damping treatment. In the present investigation, based on UTM and DMA tests, different analytical studies were carried out using shape memory polymers such as polyurethane, silicone, and butyl rubbers as damping materials for symmetrical and unsymmetrical configurations with damping layer thicknesses of 10 mm to evaluate the damping performance of unconstrained layer damped specimens. The feasibility studies of all the selected shape memory polymers revealed that the structure layered with butyl rubber gives better results than others in reducing vibration amplitude when the possibility of rectangular and cylindrical cavities in the layer are considered and discussed. The extensional damped samples were modeled using the modeling software tool, i.e. Solid Works, and modal analysis was carried out on the ANSYS workbench. Finally, the whole structure’s damping is predicted using RKU (Ross-Kerwin-Ungar) analysis, and the optimum values of system’s loss factor are obtained using python programming.

关键词： Damping Unconstrained layer damping python programming Symmetrical and unsymmetrical configuration

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