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International Conference on Innovative Mobile and Internet Services in Ubiquitous computing (IMIS)

作者： Alex Roehrs Cristiano André da Costa Jorge Luis Victória Barbosa Applied Computing Graduate Program-PIPCA Universidade do Vale do Rio dos Sinos (UNISINOS) Sao Leopoldo Rio Grande do Sul Brazil

ISBN: (纸本)9781467313285

This paper aims at presenting an architectural model proposal for a novel Mobile Payment System, called 4iPay. This work considers the following premises: independence of device, location, carrier and cardholder to meet the needs of executing payment transactions in ubiquitous commerce. Our proposal considers the convergence of concepts of ubiquity, unity, universality and unison to form the proposed model. This article describes the model, implementation, preliminary assessments and requirements for mobile payment in ubiquitous environments. We developed a prototype of 4iPay using Android smart phones. The prototype was evaluated in three different scenarios.

关键词： Mobile communication Mobile handsets Security Proposals Performance evaluation Servers

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Proposal of a Method for Wildlife-Vehicle Collisions Risk Assessment Based on Geographic Information Systems and Deep Learning

Proposal of a Method for Wildlife-Vehicle Collisions Risk As...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Diego Brum Marianne Müller Mauricio R. Veronez Eniuce M. de Souza Luiz Gonzaga Claudio J. A. Nhanga Guilherme T. Conrado Natália Procksch Julia Dias Fabio Viegas Guilherme Cauduro Vanessa S. Silva Gefersom C. Lima Izidoro Amaral Caroline M. Carvalho Larissa Oliveira Gonçalves Graduate Program on Applied Computing - UNISINOS - São Leopoldo RS Brazil Vizlab X-Reality & GeoInformatics Lab UNISINOS - São Leopoldo RS Brazil Graduate Program on Biology - UNISINOS - São Leopoldo RS Brazil Graduate Program on Ecology - UFRGS - Porto Alegre RS Brazil

ISBN: (数字)9781728163741

ISBN: (纸本)9781728163758

This work proposes a deep learning and GIS based workflow to assess the influence of highway barriers on wildlife collisions. Our work consists of using Convolutional Neural Networks to classify images extracted automatically from Google Street View to determine the type of barrier, and using geoprocessing tools to estimate parameters as barrier length and location. The method was applied in a real dataset, classifying correctly the barriers in the road-kill points with accuracy of 84.44%. Statistical tests were used to evaluate the influence of each type of barrier on the road-kills.

关键词： Roads Wildlife Deep learning Sociology Geographic information systems Tools Software

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3D DATA ACQUISITION USING STEREO CAMERA

3D DATA ACQUISITION USING STEREO CAMERA

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IEEE International Geoscience and Remote Sensing Symposium

作者： Evandro Kirsten Leonardo Campos Inocencio Mauricio Roberto Veronez Luiz Gonzaga da Silveira Fabiane Bordin Fernando Pinho Marson UNISINOS - São Leopoldo Advanced Visualization & Geoinformatics Laboratory RS Brazil Graduate Program on Applied Computing - UNISINOS São Leopoldo RS Brazil

Computer vision systems allow digital reconstruction of targets by capturing information through remote sensors such as video cameras and scanners. In this context, the objective of this work was to evaluate the capacity and quality of three-dimensional reconstruction of static targets using the ZED stereoscopic camera. For this goal, we took images of several environments and objects with different surfaces, textures, lighting, distances and acquisition speeds. The results were compared with high-density and high precision point clouds obtained from the targets using a Leica Viva TS15 total station. The data were processed in the CloudCompare software to calculate the displacement between the models generated by the camera and the total station. Under certain circumstances, this technology is able to reconstruct three-dimensional objects and environments with an error of a few centimeters.

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Spotlights on network operations and management research in Latin America - A report on LANOMS 2005

Spotlights on network operations and management research in ...

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作者： Granville, Lisandro Zambenedetti Gaspary, Luciano Paschoal Schulze, Bruno De Souza, José Neuman Brazil Special Interest Group on Computer Networks and Distributed Systems Brazilian Computer Society Brazil Brazilian Laboratory on Computer Networks Brazil IFIP/IEEE im Brazil Graduate Program on Applied Computing Universidade do Vale do Rio dos Sinos Brazil IEEE Communications Society Japan National Lab. for Scientific Computing - LNCC Brazil Brazilian National Research Council CNPq Brazil ACM Brazil IEEE Brazil Brazilian Computing Society Brazil Federal University of Ceará Brazil

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A Novel Approach for Commercial Opportunities Qualification Using the BANT Methodology under the Fuzzy Set Theory Framework.

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Procedia Computer Science 2024年 246卷 1271-1280页

作者： Marcus Vinicius Leite Jair Minoro Abe Marcos Leandro Hoffmann Souza Graduate Program in Production Engineering-Paulista University-UNIP Rua Dr. Bacelar 1212-São Paulo-SP-04026002 Brazil Graduate Program in Applied Computing-Vale do Rio dos Sinos University-UNISINOS Av. Unisinos 950 - São Leopoldo-RS-93022-000- Brazil

Demand generation is crucial for organizations, supplying sales teams with well-qualified commercial opportunities. Despite the wide variety of existing opportunity qualification methodologies, the subjective nature of experts’ final evaluation remains an obstacle to efficiency and productivity in the business process. This research investigated how Fuzzy Set Theory and Fuzzy Logic could be applied to the BANT methodology for qualifying commercial opportunities, aiming to replace these deliberative evaluations by experts to increase the sales cycle performance. A fuzzy inference system was developed to emulate the assessments of the experts. The analysis of the ratings obtained after processing a sample of commercial opportunities from 2022 and 2023 confirmed the system’s effectiveness in aligning with expert perceptions. While the study indicated room for refinements in the model, the findings underscore the potential to streamline the qualification of opportunities and improve sales cycle performance.

关键词： Fuzzy Set Theory Fuzzy Logic Decision Making Commercial Opportunity Qualification BANT Methodology Sales Force Support Commercial Process Optimization

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International Conference on Intelligent computing and Smart Communication 2019 1

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丛书名： Algorithms for Intelligent Systems

1000年

作者： Geetam Singh Tomar Narendra S. Chaudhari Jorge Luis V. Barbosa Mahesh Kumar Aghwariya

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Visualization and filtering awareness information in mobile groupware: An action research approach

Visualization and filtering awareness information in mobile ...

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International Conference on Computer Supported Cooperative Work in Design

作者： Márcio J. Mantau Carla D.M. Berkenbrock Gian R. Berkenbrock Post-Graduate Program in Applied Computing Santa Catarina State University-UDESC Centro de Engenharia da Mobilidade Universidade Federal de Santa Catarina-UFSC

This paper presents a cycle of action research conducted to investigate techniques for visualization and filtering of awareness information in a mobile collaborative game titled Warming Up The Brain. This study aims to identify the awareness information that should be presented to the users as well as how to arrange the awareness information in the mobile devices, considering its small screen size. In order to avoid problems such as information overload and information intrusiveness, the awareness information were filtered based on the group data. The game was used by 30 players, divided in 7 rounds. The usability evaluation show that the awareness information were well absorbed by users.

关键词： Games Collaboration Context Mobile communication Collaborative work Avatars Image color analysis

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An Adjustable Face Recognition System for Illumination Compensation Based on Differential Evolution 44th

An Adjustable Face Recognition System for Illumination Compe...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Guilherme Felippe Plichoski Chidambaram Chidambaram Rafael Stubs Parpinelli Graduate Program in Applied Computing State University of Santa Catarina Joinville Santa Catarina Brazil Department of Production Engineering State University of Santa Catarina Joinville Brazil

ISBN: (纸本)9781728104386

It is well known that face recognition (FR) systems cannot perform well under uncontrolled conditions, but there are no general and robust approaches with total immunity to all conditions. Hence, we present an adjustable FR framework with the aid of the Differential Evolution (DE) optimization algorithm. This approach implements several preprocessing and feature extraction techniques aiming to compensate the illumination variation. The main feature of the present work stands on the use of the DE which is responsible for choosing which strategies to use, as well as tunning the parameters involved. In this case study, we aim to address the illumination compensation problem applying on the well known Yale Extended B face dataset. According to the proposed FR framework, the DE can choose any combination of the following techniques and tune its necessary parameters achieving optimized values: the Gamma Intensity Correction (GIC), the Wavelet-based Illumination Normalization (WBIN), the Gaussian Blur, the Laplacian Edge Detection, the Discrete Wavelet Transform (DWT), the Discrete Cosine Transform (DCT), and the Local Binary Patterns (LBP). Our experimental analysis confirms that the proposed approach is suitable for FR using images under varying conditions. It is proved by the average recognition rate of 99.95% obtained using four different datasets.

关键词： Lighting Feature extraction Discrete wavelet transforms Discrete cosine transforms Optimization Image edge detection

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Virtual Infrastructures on the Move: Containers and Virtual Network Migration

Virtual Infrastructures on the Move: Containers and Virtual ...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Euclides Cardoso Charles C. Miers Maurício A. Pillon Fernando Redigolo Guilherme P. Koslovski Graduate Program in Applied Computing – Santa Catarina State University – Joinville SC – Brazil Universidade de Sao Paulo Sao Paulo SÃ£o Paulo BR

ISBN: (纸本)9781728104386

The cloud computing model enables users to view computational resources as unlimited and that can be dynamically reserved. In addition, users are charged according to a contracted configuration and effective reservation time. Thus, it became possible to dynamically provision Virtual Infrastructures (VIs) composed of virtual machines, containers and virtualized network resources. Due to the flexibility in resource provisioning and configuration, VI is being increasingly adopted for hosting data storage services, development platforms and distributed applications. However, when migrating applications to a cloud, users are faced with a significant amount of providers, brokers and services offered. Above all, cloud computing technologies, although innovative, do not ease the migration of virtualized resources between distinct providers, inducing in vendor lock-in. A wide range of cloud providers, APIs, models and management tools further limit the development of VI migration solutions between providers, characterizing an open challenge. This work proposes a mechanism to perform VI migration among providers, based on an architecture agnostic to source and destination providers, as well as VI-hosted applications. In addition, a prototype based on Docker containers and OpenStack clouds was developed both to validate the proposed mechanism and to serve as a reference implementation.

关键词： IP networks Cloud computing Containers Computational modeling Data centers Computer architecture

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Towards to Beyond 5G Virtual Environment for Cybersecurity Testing in V2X Systems

Towards to Beyond 5G Virtual Environment for Cybersecurity T...

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Workshop on Communication Networks and Power Systems (WCNPS)

作者： Giovanni A. Santos João Paulo J. da Costa Antonio Arlis S. da Silva Hamm-Lippstadt University of Applied Sciences (HSHL) Lippstadt Germany Graduate School for Applied Research in North Rhine-Westphalia (PKNRW) Bochum Germany Karlsruhe Institute of Technology (KIT) Karlsruhe Germany Graduate Program in Computing (PPGC) UFRGS Porto Alegre Brazil

Vehicle-to-Everything (V2X) communication has an essential role for enhancing safety, effi-ciency, and overall driving experience of autonomous driving. To meet the requirements of autonomous driving, V2X demands high data-rate connectivity, per-ceived zero-latency, and high reliability. These char-acteristics are inherently linked to future-generation mobile communication technologies, such as Beyond 5G (B5G) also known as 6G. However, current so-lutions for simulating 5G communications lack inte-gration between the user and control planes, making the simulation not reliable since the 5G control plane functionalities are not taken into account. In this sense, this paper proposes a first contribution towards to the platform called Beyond 5G Virtual Environment for Cy-bersecurity Testing in V2X Systems (B5GCyberTestV2X) by integrating the 5G control plane from Open5GS and UERANSIM into the Simu5G simulator. The inclusion of the control plane in 5G urban mobility simulations increases the security and reliability of the V2X commu-nication service. Therefore, in order to show the impact of the 5G control plane, we validate a simulation with a scenario in the presence of a spoofer transmitting false warning information. As shown in our simulation, the 5G control plane does not allow the connection of the spoofer into 5G network, making the cybersecurity tests of 5G-based V2X communication more realistic.

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