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15th International Joint Conference on knowledge Discovery, knowledge Engineering and knowledge management, IC3K 2023

作者： da Silva, Gustavo Simas Ulbricht, Vânia Ribas Gonçalves, Alexandre Leopoldo Graduate Program in Knowledge Engineering Management and Media (EGC) Federal University of Santa Catarina (UFSC) Florianópolis Brazil

ISBN: (纸本)9783031875687

Conducting a systematic mapping of the available knowledge within an organization is a common challenge in the knowledge Society. Such an activity is fundamental to optimize Organizational knowledge management (OKM), favoring knowledge as a valuable intangible asset in the context of organizations. In this scenario, this article proposes a conceptual model to map the Organizational knowledge Ecosystem, covering four stages: Storage, Visualization, Analysis, and Action. In the Storage stage, a knowledge base is developed from a framework that maps essential Actors, Resources, and Activities (ARA) in the ecosystem;in Visualization, a knowledge graph is used to represent the relationships between elements;in Analysis, Social Network Analysis (SNA) is used to understand the dynamics and flows of knowledge from the interpretation of connection patterns;and finally, in the Action stage, knowledge management strategies and initiatives are implemented to optimize the use and dissemination of knowledge in the ecosystem. Complexity and richness characterize knowledge Ecosystems, necessitating a systemic approach for strategic knowledge management;future directions include expanding the model beyond organizational boundaries, leveraging digital platforms and big data for insights, and exploring topics such as cultural influences on OKE. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Conceptual model knowledge management Organizational knowledge ecosystem Social network analysis

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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 São Paulo Brazil Bernoulli Institute for Mathematics Computer Science and Artificial Intelligence University of Groningen Groningen The Netherlands Informatics and Knowledge Management Graduate Program Nove de Julho University São Paulo 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.

关键词： Binary images

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Data Visualization for Learning Analytics Indicators in programming Teaching 4

Data Visualization for Learning Analytics Indicators in Prog...

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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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Integrating teaching, research and problem solving: An experience in progress at Mucuri Valley region (Brazil) 21

Integrating teaching, research and problem solving: An exper...

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21st World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2017

作者： Barroso, Leônidas Graduate Program in Information Systems and Knowledge Management Universidade FUMEC Belo Horizonte Brazil

ISBN: (纸本)9781941763599

This short article describes an interdisciplinary project that seeks to integrate teaching, research and real life problem solving. It concerns to the question: how to achieve development respecting the natural resources of the Mucuri Valley region in the states of Minas Gerais and Bahia, Brazil. Using geographic information as a guiding axis, the technological support for interdisciplinary dialogues is provided by Geographic Information Systems, integrating data, information, techniques, methods and people from different fields of knowledge. © by the International Institute of Informatics and Systemics.

关键词： Geographic information systems

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The second half of my life 9

The second half of my life

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9th International Multi-Conference on Complexity, Informatics and Cybernetics, IMCIC 2018

作者： Barroso, Leônidas Conceição Graduate Program in Information Systems and Knowledge Management FUMEC University Belo Horizonte Minas Gerais Brazil

ISBN: (纸本)9781941763766

It is a brief description of the author's professional trajectory, living the second half of his life. This reflection was motivated by the plenary lecture delivered by Ira Blatstein at the 9th International Conference on Society and Information Technologies under the title "Strategic Planning for the Second Half of Your Life". © 2018 International Institute of Informatics and Systemics IIIS. All rights reserved.

关键词： Strategic planning

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An approach based on genetic algorithm and variable neighborhood search for solving the capacitated vehicle routing problem 7

An approach based on genetic algorithm and variable neighbor...

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7th International Conference on Information Systems, Logistics and Supply Chain, ILS 2018

作者： De Araujo Lima, Stanley Jefferson De Araújo, Sidnei Alves Nove de Julho University Informatics and Knowledge Management Graduate Program São Paulo Brazil

This work presents a hybrid approach for solving the Capacitated Vehicle Routing Problem (CVRP) that employs Genetic Algorithm (GA), Variable Neighborhood Search (VNS) and Gillett & Miller (GM) heuristics. The GM heuristic is employed to provide feasible solutions which are included in the initial population of GA, while the VNS algorithm is used to refine the solutions provided by GA, after a certain number of generations without improvements. In addition, we present an alternative binary encoding scheme for GA which generates the populations based on a seed called permutation matrix. Conducted experiments demonstrated that the proposed approach provided good solutions for CVRP with low computational cost and allowed to evidence that the use of GM and VNS helped the GA to converge on promising points on the search space in a reduced number of generations. © ILS 2018 - Information Systems, Logistics and Supply Chain, Proceedings. All rights reserved.

关键词： Genetic algorithms

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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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Automated accessibility evaluation software for authenticated environments: A heuristic usability evaluation

Automated accessibility evaluation software for authenticate...

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8th International Conference on Universal Access in Human-Computer Interaction, UAHCI 2014 - Held as Part of 16th International Conference on Human-Computer Interaction, HCI International 2014

作者： Pivetta, Elisa Maria Saito, Daniela Satomi Da Silva Flor, Carla Ulbricht, Vania Ribas Vanzin, Tarcísio Post-graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Florianópolis SC Brazil

ISBN: (纸本)9783319075082

Web accessibility has been the subject of much discussion regarding the need to make Web content accessible to all people, regardless of their abilities or disabilities. While some testing techniques require human intervention, accessibility can also be evaluated by automated tools. Automated evaluation tools are software programs that examine the code of Web pages to determine if they conform to a set of accessibility guidelines that are often based on the Web Content Accessibility Guidelines Version 2.0 (WCAG 2.0), developed by the World Wide Web Consortium (W3C). In this context, the purpose of this study is to analyze an automated software program for evaluating authenticated environments and verify the usability of this tool, since automated systems require precision and reliability in terms of both results and use in any type of environment. With this in mind, this paper aimed at evaluating the ASES software by means of a heuristic evaluation carried out by three experts. The analysis revealed major accessibility problems, as well as improper functioning of available tools and inconsistency of results. Furthermore, ASES was found to have problems of efficiency, interaction, validity, and reliability in the results presented. Considering that this is an open-source accessibility testing tool that can be found on a government web site, the correction or improvement of the system's deficiencies identified in this study is highly recommended, as there is a lack of software available to evaluate authenticated environments. © 2014 Springer International Publishing.

关键词： Websites

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Case-based comparison of career trajectories 24

Case-based comparison of career trajectories

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24th International Conference on Case-Based Reasoning Workshops, ICCBR-WS 2016

作者： Duarte, Kedma Weber, Rosina O. Pacheco, Roberto C. S. Graduate Program in Knowledge Engineering and Management Federal University of Santa Catarina Brazil College of Computing and Informatics Drexel University United States

Data generated across time may not be easily comparable in its original form thus potentially leading to results that may be perceived as unfair to some. We investigate quality assessment of scholarly researchers from their curricula vitae (CVs) for processes such as hiring, promotion, and grant funding. In previous work, we demonstrated that case-based reasoning (CBR) offers advantages as a transparent methodology to assess researcher quality. Its benefits include consistency, transparency, ability to adapt to specific purposes, and ability to provide explanation. The problem we now face is how to preprocess the data from the CVs to compare researchers whose scholarly production is achieved under different conditions, different points in time, and span different career trajectory lengths. We propose strategies to deal with these aspects of time during preprocessing of the data for case representation. We use 1,000 CVs from the Brazilian Lattes database to illustrate. Copyright © 2016 for this paper by its authors.

关键词： Trajectories

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Inference of pressure ulcer stage and texture on an image training set

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Pattern Recognition and Image Analysis 2016年第3期26卷 558-564页

作者： Guadagnin, R.V. Santana, L.A. Neves, R.S. MSc Program on Information Technology and Knowledge Management Catholic University of Brasília Brasília DF Brazil MSc Program on Sciences for Health at School of Health Sciences Brasília DF Brazil Head of Scientific Starting Program–PIBIC Health Sciences Graduate School Brasília DF Brazil

Health assistance depends essentially on effective information providing for professionals. Presently visual information plays an outstanding role concerning patients’ status without necessity of invading procedures. The diagnosis related to stage and texture in pressure ulcers (PU) is considered as a classification procedure, based on the image colors. As a training set this study captured 18 PU images from nine persons. RGB mean values were adopted as features to characterize the images. Classification used an ID3 similar algorithm. It achieved 83.3% accuracy concerning color and stage, as well as 88.9% concerning color and texture. So the technique was effective for automatic determination of PU stage and PU texture based on its color. © 2016, Pleiades Publishing, Ltd.

关键词： Color

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