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A Common First-Year Undergraduate engineering Course in Manufacturing based on Industrial Robots and Flipped Classroom

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MANUFACTURING LETTERS 2022年 33卷 970-981页

作者： Funes-Lora, Miguel A. Fu, Albert Q. Webster, Noah Burcon, Sarah Shih, Albert J. Univ Michigan Mech Engn 2350 Hayward St Ann Arbor MI 48109 USA Univ Michigan Ind Engn 1205 Beal Ave Ann Arbor MI 48109 USA Univ Michigan Inst Social Res 426 Thompson St Ann Arbor MI 48106 USA Univ Michigan Coll Engn Program Tech Commun 2609 Draper Dr Ann Arbor MI 48109 USA

The pedagogy of a first-year engineering course in manufacturing is presented. This course entitled Manufacturing and Society involves collaboration with social science, is based on industrial robots as the central theme to attract students' interests and utilizes the flipped classroom approach for delivery. We hypothesize that, in one semester, recent high school graduates will be able to gain knowledge in manufacturing by learning the computer-aided engineering (CAD) software, applying CAD to design a penholder, fabricating the penholder using additive manufacturing and computer-aided manufacturing (CAM) software, programming the robot to create a toolpath for the pen, drawing using the pen on the penholder guided by a robot, and elaborating on impacts of robotic painting on society from a social science perspective. This course is designed to give students, regardless of their intended major in engineering, broad knowledge in manufacturing via 10 engineering, 3 social science, and 10 technical communication lectures;8 labs;and 4 projects. The social science lectures and discussions focus on how knowledge about society can be used to inform design and manufacturing decisions, social science research methods for understanding how engineers and technology can impact people's lives, and changing trends in work, the workplace, and the future workforce as it relates to manufacturing. This course aimed to give undergraduate first- year engineering students a positive view of advanced manufacturing and its impact on society. Student evaluations and comments were positive and affirmed the learning objective of teaching manufacturing to the first-year engineering students. The flipped classroom approach was demonstrated to be ideal during the COVID-19 pandemic with limited capacity for in-person lectures and labs. The use of flipped classrooms allowed students to learn at their own pace, review and reinforce knowledge, have a closer interaction with instructors, and reduce

关键词： Manufacturing Industrial Robots Social science Technical communication flipped classroom

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Fake News Detection with Context Awareness of the Publisher 35

Fake News Detection with Context Awareness of the Publisher

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35th International conference on software engineering and knowledge engineering, SEKE 2023

作者： Ding, Xingchen Teng, Chong Ji, Donghong Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan University Wuhan China

The spread of fake news is a significant social problem that can have disastrous impacts on various domains, such as politics and the economy. Therefore, detecting fake news has become a major concern. However, prior research has relied solely on news text to derive news representation, which is inadequate because different news items under the same publisher are interconnected. To address this limitation, we propose an innovative approach called the Publisher-oriented Multi-view Graph Model (PMGM) that leverages the context awareness of the publisher to detect fake news. Our approach enriches the news representation by incorporating publisher profiles and text style features extracted from the news. Specifically, we construct a multi-view graph that encodes various relationships between news items from the same publisher, such as news topics and occasions in which they were released. Furthermore, we leverage a multi-layer Graph Convolutional Network in conjunction with jumping knowledge networks to model the multi-view graph and produce a publisher-oriented contextualized representation of news. Experimental results on two widely used fake news datasets, namely LIAR and Weibo21, demonstrate the effectiveness of our approach. Specifically, the PMGM model outperforms the state-of-the-art methods significantly. Overall, our proposed model unifies various heterogeneous features and information related to news based on a publisher-oriented approach, thereby offering a novel idea to enhance fake news detection. © 2023 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Network layers

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Lessons Learned from the Development of a Computerised Badge-based Reward Tool for Student Engagement in Learning Activities 7

Lessons Learned from the Development of a Computerised Badge...

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7th IEEE World engineering Education conference (EDUNINE) - Reimaging engineering - Toward the Next Generation of engineering Education, Merging Technologies in a Connected World

作者： Pombo, Nuno Santos, Hermenegildo Univ Covilha Covilha Portugal Univ Beira Interior Covilha Portugal

ISBN: (纸本)9798350320503

Learner's engagement is a continuous desideratum whose main purpose is to enhance academic achievements and subsequently the development of hard and soft skills. Increasingly, gamification techniques were adopted to embody manifold in-class activities and tasks. Indeed, it intends to promote enjoyment and positive perception for participants during learning activities. Thus, gamification principles may empower instructors to promote understanding, to reinforce knowledge acquisition and retention, stimulating the development of skills and competencies prone to produce learner's' intrinsically behavioral changes. This study aims to describe the agile development life cycle of a computerized gamified badge-based reward system encompassed by a myriad of elements, such as: mobile app, website, Firebase database, and Firebase API. On the one hand, the benefits and challenges of agile methodologies are presented. On the other hand, the merits of the following architecture which combined front and back-end is also highlighted

关键词： software engineering education agile methods SCRUM gamification mobile app

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CAiSE-DC 2024 - Proceedings of the Doctoral Consortium Papers Presented at the 36th International conference on Advanced Information Systems engineering

CAiSE-DC 2024 - Proceedings of the Doctoral Consortium Paper...

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Doctoral Consortium Papers Presented at the 36th International conference on Advanced Information Systems engineering, CAiSE-DC 2024

The proceedings contain 8 papers. The topics discussed include: from adoption to endurance: exploring the dynamics of general-purpose AI adoption across time and contexts;intelligent perception systems for multi-modal data processing in industrial application contexts;a conceptual modeling-based journey into variant interpretation: from unpacking to operationalization;a methodological approach to model-driven software development for quality assurance in metaverse environments;integrating LLMs with knowledge graphs-enhanced task-oriented dialogue systems;translating polygenic risk score research to a clinical setting;comparable and repeatable information security level evaluation;and selecting adequate machine learning methods for human-computer interaction data sets: guidelines and a conceptual structure.

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Toward A Token Economy based Approach for Collaborative Concept Inventory Development by Faculties and Students 13

Toward A Token Economy Based Approach for Collaborative Conc...

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13th IEEE International conference on engineering Education, ICEED 2024

作者： Tian, Kun Tang, Yan He, Ying Liu, Wen Li, Xiang California State University Chico CS Department ChicoCA United States College of Comp. and Software Hohai University Nanjing China School of Management Tianjin Normal University Tianjin China Lamar University Math. Department BeaumontTX United States School of Comp. and Info. Eng. Tianjin Normal University Tianjin China

ISBN: (纸本)9798350367416

We present our initial idea on collaborative development of concept inventory by faculties and students using a token economy based approach. Using this approach, students are encouraged to participate in the process, which formally accepts and processes their inputs into the corresponding concept inventories if validated, implementing the fundamental principle of student-centered learning while still retaining the function of an instructor as the major source of knowledge in the traditional teacher-centered classrooms. In addition, for quality assurance on student participation during the process, we employ a token economy that reinforces a student's positive participations (behaviors) and discourages his/her negative ones. This research has been specifically designed to mitigate the apparent incongruence between the ideologies and principles behind student-centered learning and concept inventory. © 2024 IEEE.

关键词： Concept Inventory Development Peer Review Student Centered Learning Token Economy

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Design & Development of an Arduino based Thermal-Mini Printer 15

Design & Development of an Arduino based Thermal-Mini Printe...

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15th International conference on Advances in Computing, Control, and Telecommunication Technologies, ACT 2024

作者： Kedia, Ayush Kumar Anand, B. Bansal, Keshav Pavithra, G. Manjunath, T.C. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore India

ISBN: (纸本)9798331300579

The Mini Thermal Printer project is designed to guide users in integrating a compact thermal printer with a microcontroller like the *** project is ideal for hobbyists and developers looking to incorporate printing capabilities into their electronic *** guide begins by detailing the necessary components, including the printer, microcontroller, and associated *** is placed on ensuring proper power supply and understanding the communication protocols essential for the printer's operation Following the hardware setup, the project delves into the software *** are guided through the installation of necessary libraries and drivers, which facilitate communication between the microcontroller and the *** tutorial provides sample code that demonstrates how to send data to the printer, including *** section is crucial for understanding how to manipulate the data format to achieve the desired print ***, the project showcases various practical applications of the mini *** include creating shopping lists, printing out sensor data, bills, tokens, This examples serve to inspire users and demonstrate the versatility of the thermal printer in different *** the end of the guide, users are equipped with the knowledge and skills to implement thermal printing in their own projects, leveraging the full potential of this compact and powerful ***, the Mini Thermal Receipt Printer project is a comprehensive resource that combines clear instructions with practical *** caters to a wide range of skill levels, from beginners to advanced users, and provides a solid foundation for incorporating printing functionality into microcontroller-based projects The mini thermal printer works on the principle of thermal ribbon system and uses thermally treated papers which turn black on heating according to the need or data to be printed, The thermal printer is connected to Arduino UNO

关键词： Open source software

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An Effective RSP Data Sampling Algorithm 17th

An Effective RSP Data Sampling Algorithm

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17th International conference on knowledge Science, engineering and Management (KSEM)

作者： Yang, Hanyu Pan, Xiaohui Deng, Jinglan Yin, Jianfei Shenzhen Univ Coll Comp Sci & Software Engn Shenzhen Peoples R China

ISBN: (纸本)9789819755004;9789819755011

Random sample partition (RSP) is a big data representation and management model to deal with big data approximate computation problems. Academic research and practical applications have confirmed that RSP is an efficient solution for big data processing and analysis. However, a challenge for implementing RSP is determining an appropriate sample size for RSP data blocks, since a large sample size increases the burden of big data computation, a small size will lead to insufficient big data calculation accuracy. To address this problem, this paper proposes a novel block size estimate and block number estimate algorithm to determine the optimal block size and block number. First, the theoretical lower bounds on the data block size and the number of blocks are derived based on the coreset theory and Hoeffding's inequality. Second, the quantization error between the sample and the entire data set is calculated based on the symmetrization principle, and the sample size is gradually increased through iterative sampling until the quantization error reaches the set threshold. Finally, a series of experiments are conducted to verify the feasibility, rationality and effectiveness of the algorithm. Experimental results show that our algorithm is able to effectively determine the sample block size and number of sample blocks for a given data set, enabling efficient execution of data parallel applications.

关键词： Big Data Coreset Online Sampling

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From Logic Programming to Programming in Logica: A First-Course in Declarative Data Science & engineering 40

From Logic Programming to Programming in Logica: A First-Cou...

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Workshop of the 40th International conference on Logic Programming, ICLP-WS 2024

作者： Skvortsov, Evgeny Xia, Yilin Bowers, Shawn Ludäscher, Bertram Google LLC WA United States University of Illinois Urbana-Champaign School of Information Sciences IL United States Gonzaga University Department of Computer Science SpokaneWA United States

While imperative programming is prevalent in software engineering and education, the declarative nature of logic programming can play a vital role in helping students further develop problem-solving and conceptual-modeling skills. Logica, an open-source logic programming language, extends Datalog by incorporating support for numerical computations, including aggregation. It serves as a comprehensive execution environment, compiling programs into iterative SQL queries that can be executed locally via DuckDB or SQLite, or in the cloud through PostgreSQL and Google BigQuery. Logica can also be accessed from within Python and Jupyter Notebooks, allowing it to be used seamlessly within typical data-science tool chains. These intuitive features make Logica an accessible and practical tool for students to learn logic programming. In this paper, we propose a new course, complete with lecture materials centered around Logica, aimed at teaching students declarative data science and engineering while covering topics such as knowledge representation and reasoning, database queries, and constraint-based programming. © 2024 Copyright for this paper by its authors.

关键词： knowledge representation

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Estimating Factors of Agile software Development Using Fuzzy Logic: A Survey 1

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Emergent Converging Technologies and Biomedical Systems Select Proceedings of the 2nd International conference, ETBS 2022

作者： Antor, Jahidul Hasan Bansal, Sandhya Jamal Mullana Haryana Ambala India

ISBN: (数字)9789819922710

ISBN: (纸本)9789819922703

Agile software development is an iterative process that concentrates on producing a minimal viable product (MVP) quickly and then adjusting and adding features and capabilities in phases based on user feedback and behaviour. It is the most popular software development model nowadays. However, there exists various factors that plays a vital role for software development and are unknown, vague, and imprecision during the software development. Fuzzy logic is widely used for estimation of these factors in agile software development. In this paper, a survey on the use of fuzzy logic in agile software development for estimating various factors is presented. A comparative table of various research articles on different parameters is presented. Various related research questions are framed and finally answered. Overall, it is intended that the study will help advance knowledge creation and information accumulation in the area of agile software development using fuzzy logic by offering readers and researchers a road map to direct future research. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Fuzzy logic

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A Flexible Approach for Retrieving Geometrically Similar Finite Element Models Using Point Cloud Autoencoders 15

A Flexible Approach for Retrieving Geometrically Similar Fin...

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15th International conference on knowledge Discovery and Information Retrieval, KDIR 2023 as part of the 15th International Joint conference on knowledge Discovery, knowledge engineering and knowledge Management, IC3K 2023

作者： Schlenz, Sonja Mößner, Simon Ek, Carl Henrik Duddeck, Fabian BMW Group Knorrstr. 147 Munich Germany School of Engineering and Design Technical University of Munich Arcisstr. 21 Munich Germany Department of Computer Science and Technology University of Cambridge 15 JJ Thomson Avenue Cambridge United Kingdom

ISBN: (纸本)9789897586712

For the development of complex products like vehicle components, knowledge about previous solutions is a key factor. Complete solutions or parts thereof can often be reused if a similar previous model can be identified. To gain independence from the individual experience of single engineers about previous models and a tedious search process, identifying and retrieving the most similar models from large databases offers great potential. Accordingly, this paper introduces a method to achieve this kind of shape retrieval based on engineering data. 3D geometries are represented as point clouds and reduced to one single vector with an autoencoder to identify similarities in the latent space. The method can be used in a flexible way to identify global or local similarities as well as to emphasize different parts of the structure in the similarity search. The method is evaluated on an industrial dataset containing real-world engineering data. Copyright © 2023 by SCITEPRESS - Science and Technology Publications, Lda. Under CC license (CC BY-NC-ND 4.0)

关键词： Finite element method

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