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4th International Computer programming Education Conference, ICPEC 2023

作者： dos Santos, Ranieri Alves Barbi, Dalner Culmant Ramos, Vinicius Faria Ostuni Gauthier, Fernando Alvaro Graduate Program in Knowledge Engineering and Management UFSC Florianópolis Brazil

ISBN: (纸本)9783959772907

Learning Analytics (LA) has the potential to transform the way we learn, work and live our lives. To reach its potential, it must be clearly defined, incorporated into institutional teaching-learning strategies and processes and practices. The main goal of this study is to list indicators to be used in learning analytics in programming teaching and how to expose their views. For the development of the indicator model, this study based on a qualitative analysis, using data visualization and business intelligence tools, in projects focused on Learning Analytics. As a result, four main indicators were mapped: accesses to the system, resources accessed, activities carried out and, performance in activities. © Ranieri Alves dos Santos, Dalner Barbi, Vinicius Faria Culmant Ramos, and Fernando Alvaro Ostuni Gauthier

关键词： Data visualization

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Second Brain and Self-directed Learning in Personal knowledge management

Second Brain and Self-directed Learning in Personal Knowledg...

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International Conference on management, Tourism and Technologies, ICMTT 2024

作者： da Silva, Gustavo Simas Ulbricht, Vânia Ribas Graduate Program of Knowledge Engineering Management and Media Federal University of Santa Catarina Florianópolis Brazil

ISBN: (纸本)9783031748240

This article explores the integration of Self-Directed Learning (SDL), Personal knowledge management (PKM) and the Second Brain (SB) concept within the knowledge Society scenario. Highlighting SDL as a key contemporary competence, we emphasize the role of PKM in enhancing work efficiency and career development, crucial in an era marked by vast data influx. The SB concept is presented as a digital tool for effective information and knowledge organization, serving as a knowledge base along the CODE workflow and PARA system, also addressing challenges posed by the information age. The synergy between SB, PKM and SDL is examined as a holistic approach for optimizing knowledge management, fostering personal development and enhancing learning processes. We also discuss the implications for Organizational knowledge management (OKM) and active learning in organizational settings, aiming to cultivate a culture of adaptability and lifelong learning. Concluding, the article acknowledges the challenges of cognitive overload and the digital divide in the knowledge Economy, while foreseeing the potential of emerging technologies in refining these approaches. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

关键词： Active learning

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Cultural heritage objects: A model of the patrimonialization process 17

Cultural heritage objects: A model of the patrimonialization...

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17th Seminar on Ontology Research in Brazil, ONTOBRAS 2024 and 8th Doctoral and Masters Consortium on Ontologies, WTDO 2024

作者： Marcondes, Carlos H. Graduate Program of Knowledge Management & Organization School of Information Science Federal University of Minas Gerais MG Belo HorizonteCEP 31270-901 Brazil

Patrimonialization is the process through which an object is integrated within a heritage institution’s collection. More than a simple and bureaucratic process of listing an object, of registering it in the registry book, patrimonialization is the process through which a primary object has its cultural value recognized, is integrated into the scope of a specific discipline, and thus, to culture in general, becoming witnesses and representatives of the original context from which they came from, becoming secondary documents or objects. A conceptual model of the patrimonialization process through which an object became a heritage object is proposed. The model emphasizes the role of the Patrimonialization Justification, a paradata dossier in documenting the decisions, criteria, and justifications of a curator to assign to an object the status of a cultural heritage object and incorporate it in the collection of a heritage institution. The model reuses classes and properties of other ontologies to contextualize the patrimonialization process and the documents involved, including the references that support the curator’s decision to patrimonialize an object and include it in a heritage collection. © 2024 Copyright for this paper by its authors.

关键词： Conceptual model Digital Cultural Heritage Object Documentation Heritage paradata Patrimonialization

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Spatial dynamics of dengue fever spreading for the coexistence of two serotypes with an application to the city of Sao Paulo, Brazil

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COMPUTER METHODS AND programS IN BIOMEDICINE 2022年 219卷 106758-106758页

作者： Pereira, F. M. M. Schimit, P. H. T. Informatics and Knowledge Management Graduate Program Universidade Nove de Julho Rua Vergueiro 235/249 São Paulo 01525-000 SP Brazil

Background and objective: Dengue fever is a disease in which individuals' spatial distribution and Aedes aegypti mosquitoes breeding places are important factors for the disease dynamics. Typically urban, dengue is a problem for least developed countries due to the ineffectiveness in controlling the vector and disorderly urbanization processes. The result is a composition of urban sanitation problems and areas with high demographic densities and intense flows of people. This paper explores the spatial distribution of vector breeding places to evaluate introducing a new dengue serotype to a population at equilibrium for a pre-existing serotype. The paper's objective is to analyze the spatial dynamics of dengue using variations of the basic reproduction ***: A model based on probabilistic cellular automata is proposed to permitting the necessary flexibility to consider some spatial distributions of vector breeding places. Then, ordinary differential equations are used as a mean-field approach of the model, and the basic reproduction number ( R 0 ) is derived considering the next-generation matrix method. A spatial approach for R 0 is also proposed, and the model is tested in a neighbourhood from the city of Sao Paulo, Brazil, to examine the potential risks of vector breeding cells ***: The results indicated that the more spread out these places, the higher are the values of R 0 . When the model is applied to a neighbourhood in Sao Paulo, residential areas may boost the infections and must be under public vigilance to combat vector breeding ***: Considering the mean-field approximation of the cellular automata model by ordinary differential equations, the basic reproduction number derived returned an estimative of the disease dynamics in the population. However, the spatial basic reproduction number was more assertive in showing areas with a higher disease incidence. Moreover, the model could be easily adapted to be used in rea

关键词： Basic reproduction number Dengue Probabilistic cellular automata Spatial basic reproduction number Spatial dynamics

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Experimentation of Integrating Roadmapping and Sci-Fi Prototyping Methods

Experimentation of Integrating Roadmapping and Sci-Fi Protot...

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Portland International Conference on management of Engineering and Technology (PICMET)

作者： Miwa Nishinaka Kunio Shirahada Yusuke Kishita Dohjin Miyamoto Hirotaka Osawa Sachiko Kiyokawa Hideaki Takeda The Graduate School of Management Kagawa University Takamatsu Kagawa Japan School of Knowledge Science Transformative Knowledge Management Research Area Japan Advanced Institute of Science and Technology (JAIST) Nomi Ishikawa Japan Department of Precision Engineering The University of Tokyo Tokyo Japan Communication in Science and Technology Education and Research Program Hokkaido University Sapporo Japan Faculty of Science and Technology Keio University Yokohama Kanagawa Japan Graduate School of Education The University of Tokyo Tokyo Japan National Institute of Informatics Tokyo Japan

ISBN: (数字)9781890843458

ISBN: (纸本)9798350369137

In 2023, we proposed a hypothetical knowledge management framework that incorporates science fiction prototyping (SFP) into the traditional roadmapping (RM) method to make RM more innovative and create a future beyond what we can currently imagine. Our main objective is to create a new organizational knowledge co-creation method for generating innovative ideas by incorporating humanistic factors utilizing SFP into RM. In the current article, we present the exploratory study we conducted to examine the hypothetical framework. Experimental workshops were held in November 2023 to compare the integrated method, in which SFP is applied to RM, with the original RM method. We followed a crossover design in the workshops and analyzed the results qualitatively and quantitatively following the perspectives proposed in the hypothetical framework. The qualitative analysis revealed successful integration regarding diverse and broader perspectives. The quantitative analysis utilizing Wilcoxon signed rank tests showed that the scores of the integrated method were significantly higher than those of RM for variables evaluating the effectiveness of the integration, while not for variables related to participants' feelings and satisfaction with the workshops, and sustainability. These findings indicate that the integration was successful in terms of its effectiveness as a method, while participants' subjective feelings toward the workshops were not different in both methods. As for sustainability, which requires a long-term perspective, no apparent differences were observed in these short-term workshops.

关键词： Statistical analysis Conferences knowledge management Sustainable development Creativity

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

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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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Efficient Maximum Euclidean Distance Transform Computation in Component Trees Using the Differential Image Foresting Transform

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Journal of Mathematical Imaging and Vision 2025年第3期67卷 1-23页

作者： Silva, Dennis J. Miranda, Paulo A. V. Alves, Wonder A. L. Hashimoto, Ronaldo F. Kosinka, Jiří Roerdink, Jos B. T. M. Institute of Mathematics and Statistics University of São Paulo R. do Matão 1010 SP São Paulo05508-090 Brazil Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Nijenborgh 9 Groningen9747 AG Netherlands Informatics and Knowledge Management Graduate Program Nove de Julho University R. Vergueiro 235/249 SP São Paulo01525-000 Brazil

The distance transform is a crucial technique in binary image processing, assigning the distance to the nearest contour to each foreground pixel. In this extended version of our previous work, we enhance our method for computing the maximum distance transform (DT) value, now utilizing the optimized differential image foresting transform (DIFT) and improved contour extraction processes. These advancements enable more efficient computation of the maximum DT value across all connected components of a grayscale image, significantly reducing computational time by intelligently reusing DIFT trees rooted at contour points (DIFT seeds). Our optimized algorithm now achieves processing speeds that are twice as fast as our previous differential method. The proposed attribute, maximum distance, which measures the thickness of objects within the image, has proven pivotal in different image processing approaches. We showcase this through detailed illustrations of attribute opening, extinction value filters, watershed, and ultimate attribute openings. © The Author(s) 2025.

关键词： Binary images

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An Efficient Algorithm to Update Incremental Attributes in Morphological Trees

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SSRN 2022年

作者： Gobber, Charles Ferreira Hashimoto, Ronaldo Fumio Alves, Wonder Alexandre Luz Informatics and Knowledge Management Graduate Program Universidade Nove de Julho São Paulo Brazil Department of Computer Science Institute of Mathematics and Statistics Universidade de São Paulo São Paulo Brazil

Attribute Filters are powerful image simplification operators that have very good contour-preservation properties. They can be efficiently computed using morphological trees. The most common strategy to compute attribute filters using morphological trees is based on three steps: (i) tree construction: the tree is built along with its attributes;(ii) filtering: we simplify the tree by removing some of its nodes based on some attribute and a filtering rule defined on a threshold value;and (iii) image reconstruction: this is the final phase where the tree is converted back to an image leading to an attribute filter. However, after filtering a few attributes in tree may change and they must be updated, since some attribute filters are computed by filtering the simplified tree again, but with a different threshold. In this paper it is presented an efficient algorithm to update incremental attributes in morphological trees with low memory consumption and fast computation. © 2022, The Authors. All rights reserved.

关键词： Image reconstruction

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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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