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International Conference on Information Visualisation (IV)

作者： Alexandre Abreu de Freitas Walbert Cunha Monteiro Thiago Augusto Soares de Sousa Vinicius Favacho Queiroz Tiago Davi Oliveira de Araújo Bianchi Serique Meiguins Computer Science Graduate Program Federal University of Pará Belém Brazil

ISBN: (纸本)9781665490085

The process of creating physical data visualizations is not a trivial task. In general, it may require skills from the user in information visualization, tangible interaction, 3D modeling, fabrication of physical objects, etc. In addition, few works have presented computational support to the entire digital and physical rendering pipeline of data visualization, characterizing many steps of this process as manual. From this context, this work presents a process that facilitates the generation of physical data visualization. Besides that, It allows one to define which type of physical visualization to create, among passive, rearrangeable, and dynamic physicalization types. Finally, the pipelines for each physicalization type are presented, with scenarios including physical bar charts, stacked bar charts, and grouped bar charts.

关键词： Fabrication Three-dimensional displays Pipelines Data visualization Rendering (computer graphics) Task analysis Bars

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An Overview of the Design and Development for Dynamic and Physical Bar Charts

An Overview of the Design and Development for Dynamic and Ph...

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International Conference on Information Visualisation (IV)

作者： Thiago Augusto Soares de Sousa Walbert Cunha Monteiro Tiago Davi Oliveira de Araújo Carlos Gustavo Resque dos Santos Bianchi Serique Meiguins Computer Science Graduate Program Federal University of Pará Belém Brazil

ISBN: (纸本)9781665490085

This paper aims to present the design process of dynamic data physicalization for bar charts and their variants, simple bars, stacked bars, and clustered bars. The physical artifact has 12 bars that are automatically configured according to the dataset by electromechanical components controlled by an Arduino board. The models of the printed 3D parts, the electromechanical components used and their connection scheme, the design aspects to set up the dynamic physical visualization according to the data, how the users choose the dataset and the kind of physical chart, usage scenarios with different types of charts and physicalization parameters are presented in detail. Finally, some strengths and difficulties in creating dynamic physical visualizations are highlighted and future works are proposed.

关键词： Solid modeling Three-dimensional displays Data visualization Data models Bars

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UFCity: A Software Architecture to Create Data Ecosystem in Smart Cities

UFCity: A Software Architecture to Create Data Ecosystem in ...

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International Workshop on Secure Internet of Things (SIoT)

作者： Danne Pereira Angelo Brayner Doctoral program in computer science Federal University of Ceara Fortaleza Brazil Dept. computer science Federal University of Ceara Fortaleza Brazil

Smart city platforms manage resources and information to offer services to citizens. Developing technological solutions for this scenario is not trivial, given data and resource heterogeneity and the need for platform flexibility and adaptability. This work presents UFCity, a software architecture for smart city data ecosystems using microservices, artificial intelligence, and a three-layer networking structure. As a proof of concept, we developed a prototype and tested it in usage scenarios with real data. These use cases explored how our solution solves identified problems, showing meeting essential requirements for smart city platforms. In this way, UFCity is an alternative for data management in a smart city, presenting advantages over other solutions listed in this work in meeting the platform requirements.

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In vitro simulated gastrointestinal digestion and bioaccessibility of phenolic compounds and antioxidants of soursop (Annona muricata L.) peel and pulp

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LWT 2024年 208卷

作者： Domingues, Yasmin Ourives Lemes, Geriel Araújo de Oliveira, Fellipe Lopes de Souza, Thamara Rosa Silva, Bibiana Bento, Juliana Aparecida Correia Caldeira Morzelle, Maressa Department of Food and Nutrition Federal University of Mato Grosso MT Cuiabá Brazil Federal University of Mato Grosso Graduate Program in Tropical Agriculture Faculty of Agronomy and Animal Science MT Cuiabá Brazil Graduate Program in Food Nutrition and Food Engineering SP Araraquara Brazil Department of Food Science and Technology Federal University of Santa Catarina SC Florianopolis Brazil

We evaluated the nutritional composition and quantified the bioactive compounds present in the soursop pulp and peel and investigated the impact of in vitro simulated gastrointestinal digestion on antioxidants and phenolic compounds of soursop. Soursop peel had a significant amount of fiber (17.6 g.100 g−1 w.b.), particularly insoluble fiber (16.8 g.100 g−1 w.b.), and higher levels of total phenolic compounds and antioxidant activity than pulp. The pulp has 30% higher levels of ascorbic acid than the peel (40.2 mg ascorbic acid 100 g−1). Gallic acid, benzoic acid, coumaric acid, ferulic acid, and hesperidin were detected in the peel and pulp of soursop. After in vitro simulated gastrointestinal digestion, results show that total phenolic compounds of the peel exhibited stability throughout the gastric and intestinal stages. In the pulp, simulated digestion showed an increase in total phenolic compounds on enteric II stage. About antioxidant compounds, peel showed stability in DPPH assay and higher accessibility in the enteric II stages (40% and 29%) on ABTS and FRAP assays. Soursop pulp increased accessibility in the gastric stage on DPPH and FRAP assay. In the ABTS assay, soursop pulp showed the highest values in enteric phase II. The in vitro accessibility of these compounds offers insights into their potential utilization by the organism. This knowledge holds significant implications for nutrition experts, as it can advise the development of healthier dietary habits. © 2024

关键词： Ascorbic acid

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Strengthening IT Governance in the Crypto Marketplace: Leveraging Penetration Testing and Standards Alignment

Strengthening IT Governance in the Crypto Marketplace: Lever...

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2023 International Conference on Informatics, Multimedia, Cyber and Information Systems, ICIMCIS 2023

作者： Yulianto, Semi Krisnanik, Erly Hartawan, Muhammad Syarif Bina Nusantara University Binus Graduate Program Computer Science Computer Science Department Jakarta11480 Indonesia University of Pembangunan Nasional Veteran Information System Department Jakarta12450 Indonesia University of Krisnadwipayana Faculty of Technology Jakarta13077 Indonesia Asia e University Ict Department Malaysia

ISBN: (纸本)9798350307306

This research explores the vital role of penetration testing in cybersecurity, specifically its alignment with ISO 27001:2022, COBIT 2019, and NIST CSF standards in the context of crypto asset exchange management. These sectors grapple with rapidly evolving threat landscapes, necessitating robust cybersecurity strategies. However, the integration of penetration testing with these standards remains underexamined. Through a comprehensive approach, including literature reviews, surveys, case studies, and interviews, this study investigates the incorporation of penetration testing into an organization's cybersecurity. It unveils the current state of penetration testing practices, interprets ISO 27001:2022, COBIT 2019, and NIST CSF perspectives, and pinpoints integration challenges and opportunities. This study offers practical insights and best practices for integrating penetration testing into cybersecurity frameworks by emphasizing alignment. It underscores the importance of aligning penetration testing with information security standards in the crypto asset exchange management sector, enhancing security, proactively identifying vulnerabilities, and effectively mitigating risks in the context of growing crypto asset importance. This research provides invaluable guidance for safeguarding digital assets in this evolving domain. © 2023 IEEE.

关键词： Cybersecurity

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BERT and RoBERTa Models for Enhanced Detection of Depression in Social Media Text

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Procedia computer science 2024年 245卷 202-209页

作者： Felix Indra Kurniadi Ni Luh Putu Satyaning Pradnya Paramita Erna Fransisca Angela Sihotang Maria Susan Anggreainy Rongfang Zhang Computer Science Department School of Computer Science Bina Nusantara University Jakarta 11530 Indonesia Statistic Department School of Computer Science Bina Nusantara University Jakarta 11530 Indonesia Computer Science Department BINUS Graduate Program Doctor of Computer Science Bina Nusantara University Jakarta 11530 Indonesia Department of Rehabilitation and Health Service University of North Texas

Depression is a disease that affects everyone, both young and old. This mental illness not only affects the surrounding environment but everyone. Depression is characterized by deep sadness, behavioral changes and many other actions that are risky for people. In this research we try to solve the problem of detecting depression using Natural Language Processing (NLP) approaches, these two methods are Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT Approach (RoBERTa), where these two methods are used to detect posts made in reddit. The dataset is taken from Kaggle. The results obtained found that the average use of BERT and RoBERTa resulted in a high accuracy value of around 98% and with a well balanced precision, recall and F1-Score ratio. This research shows that there is a possibility of using BERT and RoBERTa in depression detection.

关键词： depression natural language processing BERT RoBERTa

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Fast Intra Mode Decision Using Machine Learning for the Versatile Video Coding Standard

Fast Intra Mode Decision Using Machine Learning for the Vers...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Adson Duarte Bruno Zatt Guilherme Correa Daniel Palomino Video Technology Research Group (ViTech) Graduate Program in Computer Science (PPGC) Federal University of Pelotas (UFPel) Pelotas Brazil

This paper presents a fast intra mode decision solution for the VVC standard using machine learning. The idea is to reorder the evaluation of modes performed by the Rate-Distortion Optimization (RDO) process according to the modes occurrence rate. Based on the new evaluation order, three Decision Tree models were trained to skip the modes less likely to be chosen. The results show that the proposed solution achieves time savings of up to 15.57% with coding efficiency degradation of only 0.41% on average. When compared with related works, the proposed solution shows competitive results.

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Exploring the Potential of Artificial Intelligence in Special Education: A Bibliometric Analysis to Support Educators and Students with Autism Spectrum Disorder (ASD)

Exploring the Potential of Artificial Intelligence in Specia...

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Frontiers in Education (FIE) Conference

作者： Lisiane Corrêa Gomes Silveira Patrícia Warnke de Alvarenga Luis Otoni Meireles Ribeiro Eder Mateus Gonçalves Rosa Vicari Regina Barwaldt Postgraduate Program in Education Federal Institute Sul-rio-grandense Pelotas Brazil Postgraduate Program in Science Education Federal University of Rio Grande Rio Grande Brazil Computer Science Center of FURG Federal University of Rio Grande Rio Grande Brazil Computer Engineering Federal University of Rio Grande Rio Grande Brazil Computer Science Center Federal University of Rio Grande do Sul Porto Alegre Brazil Computer Science Center Federal University of Rio Grande Rio Grande Brazil

ISBN: (数字)9798350351507

ISBN: (纸本)9798350363067

This full paper describes a complete article in the research category. This work presents a Bibliometric Review that aims to characterize the current scenario of academic research in Artificial Intelligence in education to support educators in the teaching and learning processes in Special Education in different contexts, becoming a tool with potential use in cases of students with Autism Spectrum Disorder (ASD). In this sense, this work aims to contribute to a better understanding of research associated with the area of Artificial Intelligence aimed at educational processes involving students with autism. To do this, we used the EndNote reference manager, an online tool designed to support researchers in conducting Literature Reviews, following the bibliometric protocol proposed by Guedes and Borschiver (2005). From the definition of search strings, (“artificial intelligence”) AND (“autism” OR “ASD” OR “autism spectrum disorder”) AND (“education” OR “teaching”), scientific databases were explored like Web of science (WoS), Scopus, ERIC, Emerald, Scielo, Portal CAPES, and IEEE, to locate existing studies on the topic, between 2019 and 2024. As a result, 298 articles were mapped and 20 scientific works were selected that address the aforementioned specific theme, written by 89 authors belonging to 50 institutions in 19 countries on four continents, enabling the creation of a significant theoretical basis. By analyzing the information contained in scientific publications in this specific field, it was possible to infer that research is divided into distinct areas of concentration: 1) the exploration of algorithms and data analysis based on Artificial Intelligence for analytical-predictive issues in the field of special education; 2) the use of robots in the teaching and learning processes of students with autism; 3) the development of personalized educational intervention models for learning pedagogical, social and communication skills. The data show that research on

关键词： Autism Protocols Databases Education Bibliometrics Learning (artificial intelligence) Data models Robots Portals Systematic literature review

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Attention is Everything You Need: Case on Face Mask Classification 8

Attention is Everything You Need: Case on Face Mask Classifi...

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8th International Conference on computer science and Computational Intelligence, ICCSCI 2023

作者： Pratama, Nanda Harianto, Dody Filbert, Stefan Warnars, Harco Leslie Hendric Spits Muyeba, Maybin K. School of Computer Science Bina Nusantara University West Jakarta Jakarta11480 Indonesia Computer Science Department BINUS Graduate Program Bina Nusantara University West Jakarta Jakarta11480 Indonesia MIST Consulting ManchesterM410SA United Kingdom

Automated face mask classification has surfaced recently following the COVID-19 mask wearing regulations. The current State-of-The-Art of this problem uses CNN-based methods such as ResNet. However, attention-based models such as Transformers emerged as one of the alternatives to the status quo. We explored the Transformer-based model on the face mask classification task using three models: Vision Transformer (ViT), Swin Transformer, and MobileViT. Each model is evaluated with a top-1 accuracy score of 0.9996, 0.9983, and 0.9969, respectively. We concluded that the Transformer-based model has the potential to be explored further. We recommended that the research community and industry explore its integration implementation with CCTV. © 2023 The Authors. Published by Elsevier B.V.

关键词： Attention Convolutional Neural Network Deep Learning Face Mask Classification Transformer

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Comparison of Spelling Error Correction Algorithms for the Indonesian Language

Comparison of Spelling Error Correction Algorithms for the I...

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Information and Education Technology (ICIET), International Conference on

作者： Yanfi Yanfi Reina Setiawan Haryono Soeparno Widodo Budiharto BINUS Graduate Program Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department BINUS Graduate Program Computer Science School of Computer Science Bina Nusantara University Jakarta Indonesia Computer Science Department School of Computer Science Bina Nusantara University Jakarta Indonesia

Edit distance as a string measurement metric is often used to help detect misspellings in languages. This paper aims to compare two string spelling error correction algorithms for the Indonesian language. The N-gram, Jaro-Winkler distance, and Levenshtein distance algorithms are used to determine whether they can accurately correct typological errors in the Indonesian language. Moreover, this study utilized KNIME tools to process the data from beginning to end. The data was retrieved from news in Indonesia. After the experiment on N from 1 to 12, the results obtained for the comparative analysis proved that Jaro-Winkler distance performed better than Levenshtein distance for comparing smaller strings like words and names. However, Levenshtein distance performs as well as Jaro-Winkler distance started from four strings. Finally, both Jaro-Winkler distance and Levenshtein distance algorithm got the best performance accuracy for eight strings with an accuracy of 99.52 percent. The result of this study is also presented that both algorithms can support word error correction for the Indonesian language.

关键词： Measurement Education Error correction

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