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2022 International Conference on Electrical Engineering and informatics, ICELTICs 2022

作者： Syukri, Mahdi Syuhada, Ahmad Tarmizi Suriadi Ramadhani, Satika Marwan Affan, Muzailin Yanis, Muhammad Universitas Syiah Kuala Doctoral Program School of Engineering Post Graduate Program Banda Aceh23111 Indonesia Universitas Syiah Kuala Dept. of Mechanical and Industrial Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Electrical and Computer Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Geophisic Engineering Banda Aceh Indonesia Universitas Syiah Kuala Dept. of Informatics Fmipa Banda Aceh Indonesia

ISBN: (数字)9781665487665

ISBN: (纸本)9781665487665

Induction motors can be operated as induction generators when additional capacitors are added to the stator terminals. Capacitors connected to induction generators can generate voltage and can provide reactive power. The advantage of induction generators can be used in small-scale plants such as micro-hydro power plants. However, the weakness of induction generators are weak voltage regulation and dependence on capacitors to generate voltage. This study conducted a test to see how the effect of capacitor capacity on the voltage generated by a induction generator when serving multiple incandescent lamp loads. The capacitor used is connected with a wye connection because the Wye connection can generate a higher voltage than the Delta connection circuit. This research has been successfully carried out with variations in capacitor values, namely 45 F, 60 F, and 75 F and variations in lamp load values, namely 5W, 15W, 25W, 40W and 60W. Based on the results of the study, the induction generators uses a 45 F capacitor with a load of 5 W, the terminal voltage for line to line is 374 V. However, when using a 75 F capacitor with a 60W load, the terminal voltage for line to line is 239 V. The terminals voltage of the induction generators can also be kept at a constant 380 V by providing varying capacitor values even though it serves varying loads. © 2022 IEEE.

关键词： Asynchronous generators

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Bayesian artificial brain with ChatGPT

arXiv

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arXiv 2023年

作者： Krohling, Renato A. Ufes - Federal University of Espírito Santo Labcin - Nature-Inspired Computing Lab Ppgi - Graduate Program in Informatics Av. Fernando Ferrari 514 Prédio CT X ES VitóriaCEP 29060-270 Brazil

This paper aims to investigate the mathematical problem-solving capabilities of Chat Generative Pre-Trained Transformer (ChatGPT) in case of Bayesian reasoning. The study draws inspiration from Zhu & Gigerenzer's research in 2006, which posed the question: Can children reason the Bayesian way? In the pursuit of answering this question, a set of 10 Bayesian reasoning problems were presented. The results of their work revealed that children's ability to reason effectively using Bayesian principles is contingent upon a well-structured information representation. In this paper, we present the same set of 10 Bayesian reasoning problems to ChatGPT. Remarkably, the results demonstrate that ChatGPT provides the right solutions to all problems. © 2023, CC BY.

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Facilitating decision making in authentic contexts: an SVVR-based experiential flipped learning approach for professional training

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Interactive Learning Environments 2023年第8期31卷 5219-5235页

作者： Hsin Huang Gwo-Jen Hwang Shao-Chen Chang a Department of Nursing Tri-Service General Hospital National Defense Medical Center Taipei Taiwan b Graduate Institute of Digital Learning and Education National Taiwan University of Science and Technology Taipei Taiwan c International Bachelor Program in Informatics and the Department of Information Communication Yuan Ze University Chung-Li Taiwan

ABSTRACTFacilitating decision making in authentic contexts is an important educational objective of professional training. To enable learners to have more opportunities to practice in authentic contexts under the guidance of instructors, the flipped learning mode of shifting the lectures to be the pre-class activity with the presentation of digital media has gradually been receiving attention. However, the conventional flipped learning mostly uses videos to present teaching content. In such a learning environment with one-way information and lack of experience, it is not easy for most learners to experience the actual situation encountered in the nursing procedure, which affects their judgment and performance when dealing with actual scenarios. To solve this problem, the present study adopted spherical video-based virtual reality (SVVR) to provide an experiential learning mode in flipped learning. To verify the effects of this teaching mode, this study conducted an experiment in a blood transfusion safety training course. The experimental group used the SVVR-based experiential flipped learning (SVVR-EFL) mode, while the control group used the conventional flipped learning mode. The results showed that using the SVVR-EFL mode not only enhanced new nursing staff’s learning achievement, but also increased their decision-making performance, meta-cognition tendency, problem-solving tendency and classroom engagement.

关键词： Flipped learning virtual reality experiential learning decision making professional training

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Evaluation of Different Annotation Strategies for Deployment of Parking Spaces Classification Systems

arXiv

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arXiv 2022年

作者： Hochuli, Andre G. Britto, Alceu S. de Almeida, Paulo R.L. Alves, Williams B.S. Cagni, Fábio M.C. Graduate Program in Informatics Pontifícia Universidade Católica do Paraná PR Curitiba Brazil Department of Informatics Universidade Federal do Paraná PR Curitiba Brazil Pontifícia Universidade Católica do Paraná PR Curitiba Brazil

When using vision-based approaches to classify individual parking spaces between occupied and empty, human experts often need to annotate the locations and label a training set containing images collected in the target parking lot to fine-tune the system. We propose investigating three annotation types (polygons, bounding boxes, and fixed-size squares), providing different data representations of the parking spaces. The rationale is to elucidate the best trade-off between handcraft annotation precision and model performance. We also investigate the number of annotated parking spaces necessary to fine-tune a pre-trained model in the target parking lot. Experiments using the PKLot dataset show that it is possible to fine-tune a model to the target parking lot with less than 1,000 labeled samples, using low precision annotations such as fixed-size squares. Copyright © 2022, The Authors. All rights reserved.

关键词： Classification (of information)

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Parametric modeling and fabrication as capturing knowledge: A design computation workflow for historical brick surfaces in Anatolia

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Digital Applications in Archaeology and Cultural Heritage 2024年 32卷

作者： Altun, Sevgi Özkar, Mine İstanbul Technical University Graduate School Department of Informatics Architectural Design Computing Graduate Program Harbiye Mahallesi Taşkışla Caddesi No:2 Şişli İstanbul 34367 Turkey İstanbul Technical University Faculty of Architecture Department of Architecture Harbiye Mahallesi Taşkışla Caddesi No:2 Şişli İstanbul 34367 Turkey

Using computational design tools to create meaningful digital representations of architectural heritage delivers both challenges and opportunities. On one hand, digital tools aid the fast and detailed three-dimensional modeling of architectural elements. On the other hand, these models do not sufficiently document the materials and techniques of making. This research proposes a workflow to use computational design tools to analyze historic Anatolian brick elements while integrating their geometry, construction, and part-whole relations in parametric modeling and robotic fabrication processes. Our approach demonstrates a correlation between the design of the surface pattern and material application in historical bricklaying. The proposed workflow can be applied to formalize implicit design knowledge, integrating it into the digital environment and numeric control production codes. This holistic approach to heritage prioritizes both the tangible aspects, such as form and material, and intangible aspects such as the knowledge base of applied techniques. © 2023 Elsevier Ltd

关键词： Architectural heritage documentation Historical bricklaying Robotic fabrication Shape grammars

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Retraction Note: Toward a novel method to support decision-making process in health and behavioral factors analysis for the composition of IT projects teams

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Neural Computing and Applications 2024年第24期36卷 15221-15221页

作者： Nunes, Luciano Comin Pinheiro, Plácido Rogério Pinheiro, Mirian Caliope Dantas Filho, Marum Simão Nunes, Rafael Espíndola Comin Graduate Program in Applied Informatics University of Fortaleza Fortaleza Brazil Federal University of Ceara Fortaleza Brazil

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Distance Functions and Normalization Under Stream Scenarios

Distance Functions and Normalization Under Stream Scenarios

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International Joint Conference on Neural Networks (IJCNN)

作者： Eduardo V. L. Barboza Paulo R. Lisboa de Almeida Alceu de Souza Britto Rafael M. O. Cruz Department of Informatics Universidade Federal do Paraná Curitiba (PR) Brazil Graduate Program in Informatics Pontífica Universidade Católica do Paraná Curitiba (PR) Brazil Universidade Estadual de Ponta Grossa Ponta Grossa (PR) Brazil École de Technologie Supérieure Université du Québec Montréal (QC) Canada

Data normalization is an essential task when modeling a classification system. When dealing with data streams, data normalization becomes especially challenging since we may not know in advance the properties of the features, such as their minimum/maximum values, and these properties may change over time. We compare the accuracies generated by eight well-known distance functions in data streams without normalization, normalized considering the statistics of the first batch of data received, and considering the previous batch received. We argue that experimental protocols for streams that consider the full stream as normalized are unrealistic and can lead to biased and poor results. Our results indicate that using the original data stream without applying normalization, and the Canberra distance, can be a good combination when no information about the data stream is known beforehand.

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Distance Functions and Normalization Under Stream Scenarios

arXiv

引用

arXiv 2023年

作者： Barboza, Eduardo V.L. Lisboa de Almeida, Paulo R. de Souza Britto, Alceu Cruz, Rafael M.O. Department of Informatics Universidade Federal do Paraná PR Curitiba Brazil Graduate Program in Informatics Pontífica Universidade Católica do Paraná PR Curitiba Brazil Universidade Estadual de Ponta Grossa PR Ponta Grossa Brazil École de Technologie Supérieure Université du Québec MontréalQC Canada

关键词： Machine learning

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MILPdM: A Predictive Maintenance Architecture for the Military Domain

MILPdM: A Predictive Maintenance Architecture for the Milita...

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International Conference on Machine Learning and Applications (ICMLA)

作者： Jovani Dalzochio Rafael Kunst Jorge Barbosa Edison Pignaton De Freitas Alécio Binotto Graduate Program in Applied Computing University of Vale do Rio dos Sinos São Leopoldo Brazil Institute of Informatics Federal University of Rio Grande do SuI Porto Alegre Brazil Asset and Edge Optimization IBM Consulting Munich Germany

Equipment monitoring for failure prediction is receiving attention from different sectors of society, such as industry, healthcare, and defense. In the defense domain, assets like military vehicles generate data that one can use to identify behavior changes and anticipate possible real-time failures, avoiding unnecessary maintenance interventions. Failure anticipation is crucial, as assets operated in the military domain perform critical tasks in which unexpected equipment failures result in high material and human costs. Approaches found in the literature typically deal with failure generation, aiming at analyzing the equipment's behavior. This paper proposes a broader approach called MILPdM. This proposal is a failure prediction architecture covering the whole failure prediction and predictive maintenance procedures. We evaluate MILPdM architecture by analyzing an engine-failure scenario where we train models to predict time series by collecting vibration data that describes the degradation of the vehicle's health. Considering the implementation of an LSTM-based neural network and Random Forest, the acquired results lead to a root mean square error of 0.15015 in the best case, which allows to predict the failure status two minutes in advance with only 3 hours of data history. This result shows that MILPdM is capable of anticipating failures with high assertiveness.

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Towards Emotionally Intelligent Software Engineers: Understanding Students' Self-Perceptions After a Cooperative Learning Experience

Towards Emotionally Intelligent Software Engineers: Understa...

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ICSE Workshop on Cooperative and Human Aspects on Software Engineering, CHASE

作者： Allysson Allex Araújo Marcos Kalinowski Matheus Paixao Daniel Graziotin Center for Science and Technology Federal University of Cariri Juazeiro do Norte Brazil Department of Informatics Pontifical Catholic University of Rio de Janeiro Rio de Janeiro Brazil Graduate Program in Computer Science State University of Ceará Fortaleza Brazil Department of Information Systems and Digital Technologies University of Hohenheim Stuttgart Germany

ISBN: (数字)9798331538712

ISBN: (纸本)9798331502539

Background] Emotional Intelligence (EI) can impact Software Engineering (SE) outcomes through improved team communication, conflict resolution, and stress management. SE workers face increasing pressure to develop both technical and interpersonal skills, as modern software development emphasizes collaborative work and complex team interactions. Despite EI's documented importance in professional practice, SE education continues to prioritize technical knowledge over emotional and social competencies. [Objective] This paper analyzes SE students' self-perceptions of their EI after a twomonth cooperative learning project, using Mayer and Salovey's four-ability model to examine how students handle emotions in collaborative development. [Method] We conducted a case study with 29 SE students organized into four squads within a projectbased learning course, collecting data through questionnaires and focus groups that included brainwriting and sharing circles, then analyzing the data using descriptive statistics and open coding. [Results] Students demonstrated stronger abilities in managing their own emotions compared to interpreting others' emotional states. Despite limited formal EI training, they developed informal strategies for emotional management, including structured planning and peer support networks, which they connected to improved productivity and conflict resolution. [Conclusion] This study shows how SE students perceive EI in a collaborative learning context and provides evidence-based insights into the important role of emotional competencies in SE education.

关键词： Training Productivity Federated learning Software Encoding Data models Planning Faces Software engineering Software development management

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