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2011 International Conference on Computational Aspects of Social Networks, CASoN'11

作者： Silva, Bryan Garber Da Costa, Cristiano André Da Zaupa, Dante Freitas, Gustavo Universidade Do Vale Do Rio Dos Sinos - UNISINOS São Leopoldo Brazil Applied Computing Graduate Program - PIPCA Universidade Do Vale Do Rio Dos Sinos - UNISINOS São Leopoldo Brazil

ISBN: (纸本)9781457711312

With the latest technological advancements and the popularization of mobile devices nowadays, software development has evolved towards mobility. One of the main uses of mobile devices is to access social networks. They are becoming important tools in people's life. In this context, the Mingle project has the objective of creating a spontaneous social networks that is mainly accessed by mobile devices, such as smartphones. Mingle uses the concepts of ubiquitous computing to create a notion of spontaneity, i.e, providing a social network adapted to the persons specific location. This article has the goal of presenting an ontology and the persistence model for managing the information inside a specific location (called "Cell" in our model). To evaluate our proposal, two technics were applied: lexical evaluation and application-level evaluation. The first assessment employs the Levenshtein edit distance and compares Mingle with other popular ontologies in the field, while the second one evaluates if we deal with all Mingle requirements. © 2011 IEEE.

关键词： Ontology

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Saasport model: Exploring protocol portability, resource elasticity and microservice architecture in the efficient execution of iot applications 20

Saasport model: Exploring protocol portability, resource ela...

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20th International Conferences on WWW/Internet 2021 and applied computing 2021

作者： da Silveira, Maria Gisele Flores da Silva Silveira, Wagner da Rosa Righi, Rodrigo da Costa, Cristiano André Griebler, Dalvan Três de Maio - RS Brazil Applied Computing Graduate Program Unisinos University Av. Unisinos 950 RS São Leopoldo Brazil Av. Ipiranga 6681 RS Porto Alegre Brazil

ISBN: (纸本)9789898704344

Despite the high growth of the Internet of Things and the multitude of applications that use the information generated, it is estimated that 90 % of these data are not yet fully used. This is because IoT systems are based on heterogeneous networks and devices with resource restrictions, which cannot execute significant processing. So one of the alternatives that have been addressed is the use of cloud applications, where the data can be appropriately processed, stored, and analyzed. In the cloud, applications can then employ resource elasticity and be developed in microservice architectures. In state-of-the-art, the main efforts to provide portability and efficient treatment of IoT applications are described. However, a platform that provides protocol portability, resource elasticity using microservices architecture for the efficient execution of IoT applications has not yet been implemented. In this context, this work presents SaaSport, which among its contributions, will allow the efficient treatment of data generated by IoT devices that use the MQTT and CoAP protocols. The final result of this work demonstrates that the model provides an efficient treatment of the data generated in IoT environments. © 20th International Conferences on WWW/Internet 2021 and applied computing 2021.

关键词： Elasticity

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GreenHPC: A novel framework to measure energy consumption on HPC applications 4

GreenHPC: A novel framework to measure energy consumption on...

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4th International Conference on Sustainable Internet and ICT for Sustainability, SustainIT 2015

作者： Rostirolla, Gustavo Da Rosa Righi, Rodrigo Rodrigues, Vinicius Facco Velho, Pedro Padoin, Edson Luiz Applied Computing Graduate Program Unisinos - Av. Unisinos 950 São Leopoldo RS Brazil INRIA - Univates 2004 route de Lucioles BP93 Sophia Antipolis CEDEX06902 France Ijui RS Brazil

ISBN: (纸本)9783901882708

Energy consumption on systems that have a continuous power source is tightly-related to both the computing time of an application and its required CPU load. Considering the scope of HPC applications which commonly have a time precision in nano or milliseconds, we observe a lack of systems that combine appropriate sampling rate, low intrusiveness and low cost. In this context, this article presents a model called GreenHPC that uses a hall effect sensor to precisely capture current with an arbitrary timeslice on HPC applications. Its scientific contribution relies on analyzing the energy consumption at a cluster scale, without application intrusiveness, showing the impact of maintaining idle nodes or turning them off for energy saving. Furthermore, considering the use of GreenHPC over the execution of a seismic wave application, we also present the number of employed processors which present the best energy consumption index. Finally, we have used the obtained results to infer a model to estimate energy consumption of HPC applications. All the developed work has a special concern on reproducibility, so all data and hardware schematics are available for download at 1. © 2015 IFIP.

关键词： Energy utilization

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A Novel Approach for Commercial Opportunities Qualification Using the BANT Methodology under the Fuzzy Set Theory Framework. 28th

A Novel Approach for Commercial Opportunities Qualification ...

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28th International Conference on Knowledge Based and Intelligent information and Engineering Systems, KES 2024

作者： Leite, Marcus Vinicius Abe, Jair Minoro Hoffmann Souza, Marcos Leandro Graduate Program in Production Engineering-Paulista University-UNIP Rua Dr. Bacelar 1212 São Paulo-SP04026002 Brazil Graduate Program in Applied Computing-Vale do Rio dos Sinos University-UNISINOS Av. Unisinos 950 - São LeopoldoRS-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. © 2024 The Authors.

关键词： Fuzzy set theory

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Elastic Management of Physical Spaces and Objects in Multi-Hospital Environments

Elastic Management of Physical Spaces and Objects in Multi-H...

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IEEE International Conference on Internet of Things

作者： Rodrigo da Rosa Righi Gustavo Rostirolla Cristiano André da Costa Murillo Goulart érico Rocha Applied Computing Graduate Program-Unisinos-Av. Unisinos 950-S?o Leopoldo RS Brazil

ISBN: (纸本)9781509058815

The fast growing and the aging of the population are some of the major problems today in terms of medical treatment in public or private hospitals. In this context, particularly talking about the health equipments belonging to each hospital, we also observe that governments and administrators still face difficulties in overseeing the tracking, allocation and management of such equipments in real-time. The gap of acquiring a global overview about what each hospital has or not invariably leads to resource wasting in some places, while there is a lacking of resources in others, so providing a deficient service at regional or national scale. Here, we are proposing the EMH (Elastic Multi-hospital Management) model, which uses the cloud elasticity facility to provide a distributed framework for managing things including physical spaces and objects at real-time within the context of multiple healthcare institutions. Our solution consists in offering a centralized management control center that works with cloud elasticity to enlarge or reduce the number of virtual machines to support the variable incoming demands from the hospitals. Thus, the idea is to subsidize real-time decision making in favor of managers who can, for instance, plan expansions, new health policies or equipment exchanges between hospitals. EMH is based on the RFID (Radio-frequency identification) sensor tracking technology, combined with the client-server Web Service concept, to detect motion and usability of objects. Finally, we developed a prototype of the EMH model which emphasized the benefits on providing a unique administration point and handling incoming workload with cloud elasticity to address user requests inside an acceptable response time (here denoted as lower than 200 ms).

关键词： Hospitals Performance Cloud Elasticity

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Temperature effect on insulation resistance of generator stator bar affected by water ingress

Temperature effect on insulation resistance of generator sta...

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Electrical Insulation Conference and Electrical Manufacturing & Coil Winding Conference

作者： André Petit Applied Computing Graduate Program Unisinos São Leopoldo RS Brazil

For water-cooled stator bar of power generator, leaks of water at the copper strand brazing location will reduce dramatically its insulation resistance. Therefore, the insulation resistance measurement is an important and simple test to perform in the periodic maintenance program. The temperature has an important effect on the insulation resistance. To correctly trend the insulation resistance of the winding, a correction factor has to be applied. This paper describes experimental data performed on both dry and wet epoxy-mica insulation from bars removed from an operating generator. The results are compared with different correction models. They show an important difference of the temperature coefficient between the dry and wet bar.

关键词： Insulation Resistance Temperature measurement Temperature Generators Temperature dependence Electrodes

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Towards a multilevel energy saving model for smart cities

Towards a multilevel energy saving model for smart cities

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Computer Science Society (SCCC) International Conference Chilean FLAGGED

作者： Gustavo Rostirolla Rodrigo da Rosa Righi Cristiano André da Costa Jorge Luis Victória Barbosa Applied Computing Graduate Program - Unisinos Av. Unisinos 950 - São Leopoldo RS Brazil

ISBN: (纸本)9781509033409

As a result of rural and suburban migration to the cities, urban life has become a significant challenge for citizens and mayors, imposing a huge concern in the sustainable use of resources like energy, water, transportation and housing. Smart cities are the biggest bet to address these challenges efficiently through a real-time monitoring approach which aims to assist in intelligent planning and sustainable urban development. However, to accomplish this monitoring efficiently and to enable the sustainable use of resources, it is necessary an integration between citizens, city devices and the platform where the data is stored and processed. In this context, we are proposing the 3LES model (3 Levels of Energy Saving for Smart Cities), a model that combines data from citizens, city devices and nodes from the processing plataform to offer a multilevel energy saving proposal. 3LES must act transparently without affecting the quality of the services already offered in the city. This paper presents the components of management and monitoring of power consumption at various levels, as well as a model that monitors the energy consumption of elastic cloud applications. The results are promising, with a model that allows the estimation of the energy consumption of elastic applications based on CPU and memory traces with an average and median precision of 97.15% and 97.72%. In addition, we obtained a reduction of more than 90% in the energy spent in public lighting in the city of Rome when analyzing the citizens' location.

关键词： Portable document format IEEE Xplore

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Analysis of human mobility behavior in Smart Cities and Smart Environments: A systematic literature review and taxonomy

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Journal of Smart Cities and Society 2024年第PRE-PRESS期Pre-press卷 1-36页

作者： Borges, Carlos Eduardo Liedtke Aranda, Jorge Arthur Schneider Barbosa, Jorge Luis Victória Applied Computing Graduate Program (PPGCA) University of Vale do Rio dos Sinos (UNISINOS) São Leopoldo Brazil

The analysis of human mobility behavior through computational techniques finds applications in various domains and provides valuable insights for urban planning, transportation services, and a deeper understanding of human interactions in Smart Cities and Smart Environments. In this scenario, this study presents a Systematic Literature Review (SLR) with the following main question: How are computational techniques being used to analyse human mobility behavior in Smart Cities and Smart Environments? A total of 5989 articles were initially found and filtered, resulting in 56 articles reviewed. As the main contributions, this study provides responses to 19 research questions. A list of the challenges and the computational techniques identified is provided. The algorithms, machine learning techniques and data-sources used by the reviewed studies are also presented and organized through taxonomies. A comprehensive discussion of the identified techniques is conducted, finishing with a compilation of challenges, open issues and research opportunities. To the best of our knowledge, this is the first study that reviewed human mobility behavior covering a wide range of scenarios, including urban mobility, public transport, points and regions of interest, ridesharing, bike-sharing, traffic analysis, driving behavior, electric vehicle charging stations planning, mobility on demand, crowd analysis and others.

关键词： Smart City Smart Environment behavior mobility crowd analysis

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Monitoring Heat Waves and Their Impacts on Summer Crop Development in Southern Brazil

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Agricultural Sciences 2014年第4期5卷 353-364页

作者： Anibal Gusso Jorge Ricardo Ducati Mauricio Roberto Veronez Victor Sommer Luiz Gonzaga da Silveira Junior Environmental Engineering Vale do Rio dos Sinos University(UNISINOS)Sao LeopoldoBrazil Center for Remote Sensing and Meteorological Research Federal University of Rio Grande do Sul(UFRGS)Porto AlegreBrazil VizLab-Advanced Visualization Laboratory Vale do Rio dos Sinos University(UNISINOS)Sao LeopoldoBrazil Astronomy Department Federal University of Rio Grande do Sul(UFRGS)Porto AlegreBrazil Graduate Program in Geology Vale do Rio dos Sinos University(UNISINOS)Sao LeopoldoBrazil Crop Breeding Foundation(Fundacao Pró-Sementes) Passo FundoBrazil Graduate Program in Applied Computing Vale do Rio dos Sinos University(UNISINOS)São LeopoldoBrazil

Periods in the soybean summer cycle that are sensitive to the occurrence of high temperatures were studied. An analysis was performed on the variability of soybean yields associated with crop canopy temperatures during key development periods. A land surface temperature (LST) data series from MODIS (Moderate Resolution Imaging Spectroradiometer) on the Aqua satellite was processed between 2003 and 2012 that covered the entire state of Rio Grande do Sul, in Brazil. Enhanced vegetation index (EVI) data from MODIS on the Terra satellite were used to monitor the LST during different phenological stages. Spatially interpolated maps of soybean yield distributions were generated using data obtained from Instituto Brasileiro de Geografia e Estatística (IBGE) at state and municipality levels. The results indicate that canopy-LST occurrence in mid-February, during the grain filling, is most correlated to yield reduction (R2 = 0.82 and RMSD = 14.4%). At the state level, the average yield is 2003 kg·ha-1 with a standard deviation of 308 kg·ha-1. The overall average of the canopy-LST is 305.0 K (31.8°C) with a standard deviation of 1.9 K. The slope of the downward linear relationship between canopy-LST and yield was -28.7%. These results indicate that monitoring heat wave events can provide important information for characterising agriculture vulnerability.

关键词： Land Surface Temperature Soybean Remote Sensing Canopy Vegetation Index MODIS Data

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Observing Network Performance and Congestion on Managing Assets with RFID and Cloud computing

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Journal of Computer and Communications 2017年第9期5卷 43-66页

作者： Leandro Andrioli Rodrigo da Rosa Righi Cristiano André da Costa Lucas Graebin Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos (Unisinos) S&#227 o Leopoldo RS Brazil

Today, we observe that more and more, radio frequency identification (RFID) technology has been used to identify and track objects in enterprises and institutions. In addition, we also perceive the growing adoption of cloud computing, either public or private, to process and store data from the objects. In this context, the literature does not present an initiative that looks into the network on enterprise-cloud interactions, so neglecting network performance and congestion information when transmitting data to the cloud. Thus, we are presenting a model named ACMA—Automatic Control and Management of Assets. ACMA employs context awareness to control and monitor corporate assets in companies with multiple units. ACMA provides a centralized point of access in the cloud in which interested actors can get online data about each corporate asset. In particular, our scientific contribution consists in considering network congestion to control dynamically the data updating interval from sensors to the cloud. The idea is to search for reliability and integrity of operations, without losing or corrupting data when updating the information to cloud. Thus, this article describes the ACMA model, its architecture, algorithms and features. In addition, we describe the evaluation methodology and the results obtained through experiments and simulations based on the developed prototype.

关键词： Internet of Things RFID Cloud computing Network Congestion Adaptivity Assets

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