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arXiv 2020年

作者： da Silva, Gabriela Cavalcante Oliveira, Sabrina Wanner, Elizabeth F. Bezerra, Leonardo C.T. Brazil Postgraduate Program in Mathematical and Computational Modeling CEFET-MG Brazil Computer Engineering Dept. CEFET-MG Brazil Computer Science Group Aston University United Kingdom

Social distancing (SD) has been critical in the fight against the novel coronavirus disease (COVID-19). To aid SD monitoring, many technology companies have made available mobility data, the most prominent example being the community mobility reports (CMR) provided by Google. Given the wide range of research fields that have been drawing insights from CMR data, there has been a rising concern for methodological discussion on how to use them. Indeed, Google recently released their own guidelines, concerning the nature of the place categories and the need for calibrating regional values. In this work, we discuss how measures developed in the field of multi-criteria decision making (MCDM) might benefit researchers analyzing this data. Concretely, we discuss how Pareto dominance and performance measures adopted in MCDM enable the mobility evaluation for (i) multiple categories for a given time period and (ii) multiple categories over multiple time periods. We empirically demonstrate these approaches conducting both a region- and country-level analysis, comparing some of the most relevant outbreak examples from different continents. Copyright © 2020, The Authors. All rights reserved.

关键词： Coronavirus

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Technology of Holobox Augmented Reality Grebeg Pancasila rite for Mathematics learning in Elementary School 2

Technology of Holobox Augmented Reality Grebeg Pancasila rit...

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2nd Annual Conference of science and Technology, ANCOSET 2020

作者： Septinaningrum, S. Hakam, K.A. Setiawan, W. Agustin, M. Sopandi, W. Surur, A.S. Study Program of Elementary Education Postgraduate Program Universitas Pendidikan Indonesia Bandung Indonesia Department of Islamic Elementary Teacher Education State Institute of Tulungagung for Islamic Studies Tulungagung Indonesia Department of Character and General Education Faculty of Social Science Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Computer Science Education Universitas Pendidikan Indonesia Bandung Indonesia Department of Early Childhood Education Universitas Pendidikan Indonesia Bandung Indonesia

The use of technology in learning needs to be encouraged starting from the elementary school level. Another thing that needs to be encouraged is local wisdom-based media to support character learning. This study aims to develop holobox augmented reality technology media of local wisdom of the Grebeg Pancasila rite for mathematics learning in elementary schools. This research produces multimedia based on technology Holobox Augmented Reality (AR) with the content of material Grebeg Pancasila for learning mathematics and building spaces in elementary schools. The method in media development using the Development Life Cycle developed by Luther consists of six stages, namely: concept, design, material collection, assembly, testing, and distribution. The media produced meets the standard of feasibility and can provide information and knowledge about understanding the concept of flat and space structures through the flag and gunungan symbols in the Rite Grebeg Pancasila. The implication of this study is that cultural diversity in local wisdom of the Rite Grebeg Pancasila can be used as a medium for learning mathematics in elementary schools (MI/SD) through Technology Holobox. Augmented Reality. © Published under licence by IOP Publishing Ltd.

关键词： Augmented reality

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Use of Graph2Go in M-learning: A view from the pedagogical model

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IFIP Advances in Information and Communication Technology 2010年 324卷 12-22页

作者： Batista, Silvia Behar, Patricia Passerino, Liliana Instituto Federal Fluminense Campus Campos-Centro Rio de Janeiro Brazil Postgraduate Program in Computer Science in Education Universidade Federal do Rio Grande do Sul Brazil

ISBN: (纸本)9783642153778

Characteristics such as interactivity, mobility, reaching a higher number of people, learning in real contexts, among others, are considered advantages of using mobile devices in education. M-learning (mobile learning) can favor learning, not only in distance learning, but also in face to face and blended learning. This paper particularly focuses on mathematical learning, considering it can benefit from m-learning potential in several educational modalities. However, this requires structured actions and, in this sense, development of pedagogical models is important. Such models serve as base for the knowledge building process through organized actions, with defined objectives and established strategies to reach them. Within this context, this paper presents a pedagogical model that was built and applied in a pilot study for mathematical learning using Graph2Go in college students. © IFIP International Federation for Information Processing 2010.

关键词： Students

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Rapid Detection of Oil Pollution in Soil by Using Laser-Induced Breakdown Spectroscopy

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Plasma science and Technology 2016年第12期18卷 1186-1191页

作者： Ali KHUMAENI Wahyu Setia BUDI Asep Yoyo WARDAYA Rinda HEDWIG Koo Hendrik KURNIAWAN Department of Physics Faculty of Science and Mathematics Diponegoro University JI. Prof. Soedharto SH. Tembalang Semarang 50275 Indonesia Master Program in Energy School of Postgraduate Studies (SPS) Diponegoro University JI. Imam Barjo SH. Pleburan Semarang 50241 Indonesia Computer Engineering Department Bina Nusantara University K. H. Syahdan 9 Jakarta 11480 Indonesia Research Center of Maju Makmur Mandiri Foundation 40 Srengseng Raya Kembangan Jakarta Barat 11630 Indonesia

Detection of oil pollution in soil has been carried out using laser-induced breakdown spectroscopy（LIBS）. A pulsed neodymium-doped yttrium aluminum garnet（Nd：YAG） laser（1,064 nm, 8 ns, 200 mJ） was focused onto pelletized soil samples. Emission spectra were obtained from oil-contaminated soil and clean soil. The contaminated soil had almost the same spectrum profile as the clean soil and contained the same major and minor elements. However, a C–H molecular band was clearly detected in the oil-contaminated soil, while no C–H band was detected in the clean soil. Linear calibration curve of the C–H molecular band was successfully made by using a soil sample containing various concentrations of oil. The limit of detection of the C–H band in the soil sample was 0.001 mL/g. Furthermore, the emission spectrum of the contaminated soil clearly displayed titanium（Ti） lines, which were not detected in the clean soil. The existence of the C–H band and Ti lines in oil-contaminated soil can be used to clearly distinguish contaminated soil from clean soil. For comparison, the emission spectra of contaminated and clean soil were also obtained using scanning electron microscope-energy dispersive X-ray（SEM/EDX） spectroscopy,showing that the spectra obtained using LIBS are much better than using SEM/EDX, as indicated by the signal to noise ratio（S/N ratio）.

关键词： laser-induced breakdown spectroscopy LIBS oil pollution soil analysis C–H molecular band

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Automatic detection of hard exudates and optic disc in digital fundus images

Automatic detection of hard exudates and optic disc in digit...

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International Conference on Bio-inspired Systems and Signal Processing, BIOSIGNALS 2012

作者： Chavez-Hernandez, Elizabeth Martinez-Perez, M. Elena Postgraduate Program in Computer Science and Engineering Insituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Universidad Nacional Autónoma de Mexico 04510 México City Mexico Department of Computer Science Instituto de Investigaciones en Matemáticas Aplicadas y en Sistemas Universidad Nacional Autónoma de México Apartado Postal 20-726 04510 México City Mexico

ISBN: (纸本)9789898425898

Automatic detection of characteristic patterns of diabetic retinopathy such as hard exudates may help to an early diagnosis. Methods for automatic detection of hard exudates and optic disc are presented. Exudates detection involves a preprocessing stage, threshold selection and region growing. For optic disc detection a Bayes classifier is applied followed by mathematical morphology techniques in order to improve the final result. The methods here presented were evaluated using the IMAGERET database, which contains fundus images evaluated by qualified experts. In average, the area of exudates automatically detected overlaped with 60.75% and 63.91% areas defined by each of the two experts. For optic disc detection, sensitivity and specificity were 72.12% and 95.56% respectively.

关键词： Mathematical morphology

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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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Combining Internet-Based Information Consumer Theory and Blogger-Centric Contextual Advertising

Combining Internet-Based Information Consumer Theory and Blo...

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2014 International Conference on Humanity and Social sciences(ICHSS 2014)

作者： Patrick Letouze David N.Prata Uelson R.Nascimento Postgraduate Program of Systems’ Computational Modeling and Dept.of Computer Science UFT–Universidade Federal do Tocantins Palmas Brazil CRP Tecnologia Palmas Brazil

In this work we combine the Internet-Based Information Consumer Theory（IBICT） and the Blogger-Centric Contextual Advertising（BCCA）. The efficiency of the assignment of personal ads to any blog page relies in the ability to understand or to direct the consumers’ desires. Hence, IBICT’s framework supports the understanding of the consumers’ desire while BCCA directs the assignment of personal ads.

关键词： BCCA blog IBICT Semiotic Text Mimning

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Mediating process adaptation through a goal-oriented context-aware approach

Mediating process adaptation through a goal-oriented context...

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International Conference on computer Supported Cooperative Work in Design

作者： Vanessa Tavares Nunes Cláudia M. Lima Werner Flávia Maria Santoro COPPE/PESC-Systems Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil NP2Tec and Postgraduate Information Systems Program UNIRIO Rio de Janeiro Brazil

Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation on the way to organize work to address emerging demands. Market is demanding systems that are aware of organizations processes and able to evolve and adapt to new situations in everyday working activities. We argue that flexibility in processes could be managed in real time, by PAIS (Process-aware Information Systems), using context information collected in the work environment. This paper proposes CGAdapt, a context management architecture approach that aims to improve and automate dynamic process adaptation. We explain how process adaptation may occur in real time through an existent scenario using this proposal and discuss the value of context-awareness to reason about process alternative adaptations in a goal oriented approach.

关键词： Context Materials Business Adaptation models Analytical models

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Dynamic process adaptation: A context-aware approach

Dynamic process adaptation: A context-aware approach

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International Conference on computer Supported Cooperative Work in Design

作者： Vanessa Tavares Nunes Cláudia M. Lima Werner Flávia Maria Santoro COPPE PESC-Systems Engineering and Computer Science Program UFRJ Rio de Janeiro Brazil NP2Tec and Postgraduate Information Systems Program UNIRIO Rio de Janeiro Brazil

Dynamism of day-to-day activities in organizations is inextricably linked and there is a variety of information, insight and reasoning being processed between people and systems, in carrying out a business process. We argue that flexibility in processes could be managed in real time, using context information collected in the work environment. This paper proposes a context management architecture approach that aims to improve and automate dynamic process adaptation. We explain how process adaptation may occur in real time and discuss a scenario for this proposal.

关键词： Context Adaptation models Organizations Cognition Context modeling Uncertainty

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A Parallel Graph Partitioning Approach to Enhance Community Detection in Social Networks

A Parallel Graph Partitioning Approach to Enhance Community ...

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IEEE Symposium on computers and Communications (ISCC)

作者： Tales Lopes Victor Ströele Mario Dantas Regina Braga Jean-Francois Meháut Computer Science Postgraduate Program Federal University of Juiz de Fora Juiz de Fora Brazil CNRS Inria Université Grenoble Alpes Grenoble France

ISBN: (数字)9781728180861

ISBN: (纸本)9781728180878

Dealing with complex networks is often a challenge due to the high computational cost in analyzing a huge amount of data. Partitioning methods can decrease the complexity of large structures by reducing them to smaller, less connected parts. Also, the data splitting allows the use of multiprocessing to accelerate the execution of data procedures with simultaneity and parallelism. In this paper, we propose a new parallel partitioning algorithm with a focus on assisting in community detection in social networks. The algorithm uses a subtree-splitting strategy, as well as boundaries defined, in order to cut the network into n balanced subnetworks. Our proposal stands out for the focus on aiding density-based approaches, such as the NetSCAN clustering algorithm, considering two particulars: (i) keeping the partitions connectivity, and; (ii) allowing node overlapping between partitions. Experiments were carried out with different instances intending to investigate the partitions obtained and evaluate our proposal. Furthermore, the algorithm performance analysis in a large network is employed, sequential and parallel implementations are compared in terms of execution time and memory consumption. Evidence was provided that the proposed algorithm is able to split an extensive data set into balanced partitions with optimistic performance results.

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