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Focal Group Technique: Overcoming Normality Standards While Comprehending Inclusive Learning

Creative Education 2016年第3期7卷 520-532页

作者： Rosane de F. A. Obregon Tarcisio Vanzin Vânia R. Ulbricht Bachelor Interdisciplinary Course in Science and Technology Federal University of Maranhao San Luis Brazil Program Graduate Engineering and Knowledge Management Federal University of Santa Catarina Florianopolis Brazil

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Real engineering Problems in an Undergraduate Course: The learning methodologies and assessment tools

Real Engineering Problems in an Undergraduate Course: The le...

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World engineering Education Forum - Global engineering Deans Council (WEEF-GEDC)

作者： Ricardo A. Diogo André L.A.C. Venâncio Maria Angela M. Roveredo Santos Eduardo F.R. Loures Neri dos Santos Knowledge Engineering&Management Graduate Program Federal University of Santa Catarina Florianopolis Brazil Industrial&Systems Engineering Graduate Program Pontifical Catholic University of Parana Curitiba Brazil Control and Automation Engineering/Mechatronics Engineering Pontifical Catholic University of Parana Curitiba Brazil

ISBN: (纸本)9781665424899

This paper presents the context of the Ubiquitous Computing course carried out in an Industrial engineering undergraduate program throughout 2020 and the first semester of 2021. This course took advantage of the Institutional Modernization program led by the Control and Automation engineering Undergraduate program, which consists in the modernization of undergraduate engineering programs at the Pontifical Catholic University of Paraná. The course aimed to help develop competencies, i.e., a set of knowledge, skills, and attributes aligned with Student Outcomes suggested by ABET. Also, the course proposal brought the productive sector very close to the academic environment, proposing real engineering problems as challenges. However, what are the methods and assessment tools for practical learning in a course with modern elements? This paper proposed the flipped learning and the Challenge-Based Learning Framework with the support of the CDIO Framework as learning methodologies to answer such question. Additionally, quizzes, tests, presentations, rubrics, and peer evaluation were applied as assessment tools to measure the student's progress. Finally, students were listened to about their perceptions during the course. The results suggested that the learning methodologies and assessment tools are suitable for the course context, although some improvements are expected for the following course offers. Moreover, students approved the initiative to bring in real challenges proposed by companies, the mentoring hours, and the feedback about the projects.

关键词： Automation Companies Industrial engineering Ubiquitous computing Proposals Mentoring engineering education

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An interoperability approach based on asynchronous replication among distributed internet databases

An interoperability approach based on asynchronous replicati...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Douglas D. J. de Macedo Hilton W. G. Perantunes Luiz F. J. Maia Eros Comunello Aldo von Wangenheim M.A.R. Dantas Department of Informatics and Statistics (INE) Federal University of Santa Catarina Florianopolis Brazil Post-Graduate Program Knowledge Engineering and Management (PPGEG) Federal University of Santa Catarina Florianopolis Brazil Department of Informatics and Statistics (INE) Florianopolis Brazil Federal University of Santa Catarina (UFSC) Post-Graduate Program in Knowledge Engineering and Management (PPGEGC) Florianopolis Brazil 88040-900

Nowadays, there is a growing interest in telemedicine in Brazil, because the country is the fifth largest country in the world and there is a huge gap between the population size and the number of available doctors. Institutions and the government are considering solutions for the integration and availability of data produced by several different systems. In this paper we present a contribution that is characterized by an asynchronous replication strategy between distributed medical databases. The contribution, named PGR, is an enhancement to the PostgreSQL database software that introduces lightweight asynchronous operations. In addition, we have implemented a multi-master engine with partial replication and hybrid fragmentation in order to allow interoperability between different telemedicine systems. Our early results indicate that the model and its implementation have reached a successful level in terms of performance and interoperability.

关键词： Databases Proposals Distributed databases Medical services Software Monitoring Biomedical imaging

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Different Perspectives of Creation and knowledge Sharing in Virtual Environments

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Creative Education 2015年第6期6卷 564-575页

作者： Rosane de F. A. Obregon Tarcisio Vanzin Vânia R. Ulbricht Science and Technology Centre Bachelor Interdisciplinary Course in Science and Technology Federal University of Maranhão San Luis Brazil Program Graduate Engineering and Knowledge Management Federal University Federal University of Santa Catarina Florianopolis Brazil

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knowledge and ontology engineering for smart services

Knowledge and ontology engineering for smart services

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6th International Conference on knowledge Science, engineering and Management, KSEM 2013

作者： Dos Santos Pacheco, Roberto Carlos Salm Junior, José Francisco Schneider, Viviane Koller, Karine Federal University of Santa Catarina Brazil University of Santa Catarina State Brazil Program of Post-Graduate Knowledge Engineering and Manager Federal University of Santa Catarina Brazil Modeling Subproject by FINEP / FAPESC Brazil Development in Institute Stela Rua Prof. Ayrton Roberto de Oliveira 32 Florianópolis CEP: 88034-050 Santa Catarina Brazil

ISBN: (纸本)9783642397868

This work points out different aspects of a methodology that is concerned with how hypermedia content can be shared in real time through ubiquitous network and in systems context-awareness, mediated by knowledge engineering. The software components that are shared within these environments all share non-functional requirements of high reliability, availability and security. Addition to techniques of knowledge engineering and ontology engineering, these non-functional requirements need to be addressed also by the methodology. Furthermore, that type of service application also should address other modeling aspects that are related to inter-organizational aspects like culture, power and relationship. These methodological aspects are described also in this work. The benefits of applying this approach is the added value for those who need to model not just the ubiquitous software application but also the knowledge engineering aspects that allow the Hypermedia content in to be share in an ubiquitous network. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Ontology

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Estimating Pandemic Effects in Urban Mass Transportation Systems: An Approach Based on Visibility Graphs and Network Similarity

SSRN

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SSRN 2022年

作者： Perez, Yuri Pereira, Fabio Henrique Informatics and Knowledge Management Graduate Program PPGI-UNINOVE Rua Vergueiro 235/249 - Liberdade SP São Paulo01525-000 Brazil Universidade Nove de Julho Industrial Engineering Graduate Program PPGI-UNINOVE Rua Vergueiro 235/249 - Liberdade SP São Paulo01525-000 Brazil

Urban mass transportation systems are critical elements of modern society, exerting influence in the shape, economical development and sustainability of a city. Covid-19 forced population to avoid social contact and the impacts of this scenario on public transportation in different regions of the world are still being discussed. Large metropolitan areas present heterogeneous population groups and exert different mobility roles in urban systems, so, it is important to understand how different regions of the same city may present different mobility dynamics. Here, we present a model to study how and how much different regions of a large urban system were affected by pandemics, converting time series into visibility graphs and comparing them using network similarity methods and geospatial analysis. The methods used here were able to detect an abrupt shock in demand behavior when pandemics started, quantify how different regions absorbed the shock, group lines with similar spatial location and explore if the effects on lines may be related to demand level or bus line length. © 2022, The Authors. All rights reserved.

关键词： Complex networks

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A Data Management in a Private Cloud Storage Environment Utilizing High Performance Distributed File Systems

A Data Management in a Private Cloud Storage Environment Uti...

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IEEE International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises

作者： Tiago S. Soares M. A. R. Dantas Douglas D. J. de Macedo Michael A. Bauer Informatics and Statistic Department (INE) Federal University of Santa Catarina (UFSC) Post-Graduate Program of Knowledge Engineering and Management Federal University of Santa Catarina (UFSC) Computer Science Department (CSD) University of Western Ontario (UWO)

ISBN: (纸本)9781479904051

The new trend in the process of data-intensive management indicates the importance of a distributed file system for both Internet large scale services and cloud computing environments. I/O latency and application buffering sizes are two of a number of issues that are essential to be analysed on different class of distributed file systems. In this paper, it is presented a research work comparing four different high performance distributed file systems. Those systems were employed to support a medical image server application in a private storage environment. Experimental results highlight the importance of an appropriate distributed file system to provide a differential level of performance considering application specific characteristics.

关键词： Distributed File System DICOM HDF5 Telemedicine

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AV-8B flight hazard awareness analysis and training using flight simulation

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NAVAL ENGINEERS JOURNAL 1997年第3期109卷 269-276页

作者： Calvert, JF Jeffrey F. Calvert P.E.:has spent the last twelve years of his career with the Aricraft Division and Training Systems Division of the Naval Air Warfare Center. His engineering experience includes research and development test and evaluation and training ssystems program for numberous military and research aricraft program. Currently Mr. Calvert is employed at the Training Systems Division in Orlando where he is applying his aero-sciences knowledge as a modeling and simulation subject matter expert. Mr. Calvert holds a bachelor of science degree in aerospace engineering and a master's degree in engineering science. He is a graduate of the United States Naval Test Pilot School under the Flight Test Engineering curriculum. He holds a general aviation pilot's licence and has special aircrew tectical aircraft Mr. Calvert is a registered professional engineer a member of the Society of Flight Test Engineers (SFTE) and the American Institute of Aeronautics and Astronautics (AIAA) and the AIAA Modeling and Simulation Technical Committee. He has authored more than thirty technical reports and was the 1993 recipient of the AIAA Creater Philadelphia Chapter Award for Ground Testing and Simulation.

The V/STOL capability of the AV-8B Harrier is provided through a sophisticated combination of vectored thrust and aerodynamic technology. The proper interaction of the nozzle thrust and flap system is of extreme importance. Specific combinations of nozzle angle and flap position are employed to optimize both jet lift and aerodynamic lift. However, if the proper flap-nozzle position schedule is violated, the resulting thrust and flap impingement may cause a severe nose-down pitching moment sufficient to override the pilot control. Depending upon ground proximity, this condition creates a hazard which causes great potential for loss of aircraft and/or pilot. Flap impingement hazard was identified on the AV-8B aircraft as a potential catastrophic flight hazard. In response, a requirement was established to 1) study the severity of the flap impingement hazard on the AV-8B, 2) devise flight operational procedures which would minimize pilot exposure to the hazard potential and the resulting pilot control problems during flight, and 3) devise a training capability to familiarize pilots with flap impingement hazard characteristics and recovery procedures. This paper comprises the results of a study which utilized piloted flight simulation and fleet simulation trainers to meet these requirements.

关键词： VTOL/STOL aircraft

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Enhancing Automated Microorganism Classification: A Study on the Influence of Compression, Non-Uniform Scaling, and Data Augmentation Using Deep Learning

SSRN

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SSRN 2024年

作者： Boukouvalas, Dimitria Theophanis Bissaco, Márcia A.S. Dellê, Humberto Deana, Alessandro M. Belan, Peterson A. de Araújo, Sidnei Alves Universidade Nove de Julho Informatics and Knowledge Management Graduate Program Rua Vergueiro 235/249 SP São Paulo01504-001 Brazil Universidade de Mogi das Cruzes Biomedical Engineering Graduate Program Av. Dr. Cândido Xavier de Almeida e Souza 200 Mogi das Cruzes SP São Paulo08780-911 Brazil Universidade Nove de Julho Medicine Graduate Program Rua Vergueiro 235/249 SP São Paulo01504-001 Brazil

With the advent of "Laboratory 4.0", a concept that represents the recent technological breakthroughs in laboratory automation, there is an increasing demand for solutions that can automate, standardize, and enhance the accuracy and speed of microorganism classification. One promising approach is the use of convolutional neural networks (CNNs), a powerful deep learning technique that has shown significant results in biomedical image analysis. However, its application in microorganism classification is still nascent mainly due to the unavailability of extensive datasets, which is a basic requirement to ensure generalization ability in learning CNNs. This study aims to fill a significant gap in the literature by exploring the influence of factors such as image compression, non-uniform scaling, and data augmentation on the performance of CNNs, specifically when using small image datasets of microorganisms. We focus on two CNN architectures, AlexNet and DenseNet-121, which have shown promising results in previous microorganism classification studies. Our experiments reveal that certain factors like the type of data compression and non-uniform scaling applied to the images can negatively impact the performance of CNNs. On the other hand, data augmentation techniques such as mirroring, rotation, and noise addition can enhance their performance. By utilizing training datasets and optimized parameters based on our findings, we were able to achieve classification accuracies of 98.61% and 99.82% with AlexNet and DenseNet-121, respectively, surpassing the results reported in current state-of-the-art studies. This research has significant implications for Laboratory 4.0, potentially reducing dataset preparation and CNN training time, lowering computational costs, and improving the consistency and accuracy of microorganism classification. It paves the way for more efficient and accurate microorganism classification methods in automated laboratories. © 2024, The Authors. All righ

关键词： Classification (of information)

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Learning a nonlinear color distance metric for the identification of skin immunohistochemical staining

Learning a nonlinear color distance metric for the identific...

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2009 22nd IEEE International Symposium on Computer-Based Medical Systems, CBMS 2009

作者： Sobieranski, Antonio Carlos Neto, Sylvio Luiz Mantelli Coser, Leandro Comunello, Eros Von Wangenheim, Aldo Cargnin-Ferreira, Eduardo Di Giunta, Gabriella LAPIX Laboratory of Image Processing and Computer Graphics UFSC Federal University of Santa Catarina Brazil CPTEC Center for Weather Forecasts and Environment Studies INPE - Brazilian Institute for Space Research Brazil EGC Knowledge Engineering Department UFSC - Federal University of Santa Catarina Brazil MCA Graduate Program in Applied Computer Science UNIVALI - Itajai Valley University Brazil Laboratory of Histological Markers Department of Biology Embriology and Genetics UFSC - Federal University of Santa Catarina Brazil Pathology Service UFSC - Federal University of Santa Catarina Brazil

ISBN: (纸本)9781424448784

This paper presents a semiautomatic method for the identification of immunohistochemical (IHC) staining in digitized samples. The user trains the system by selecting on a sample image some typical positive stained regions that will be used as a reference for the construction of a distance metric. In this learning process, the global optimum is obtained by induction employing higher polynomial terms of the Mahalanobis distance, extracting nonlinear features of the IHC pattern distributions. The results of the proposed method showed a high correlation to a pathologist's manual analysis, which was used as a golden standard, presenting a more robust discrimination between stained and non-stained areas with little bias. © 2009 IEEE.

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