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IEEE International Conference on Cloud computing Technology and Science (CloudCom)

作者： João H. F. Battisti Vitor E. Batista Guilherme P. Koslovski Maurício A. Pillon Charles C. Miers Marco A. Marques Marcos Simplício Diego Kreutz Graduate Program in Applied Computing (PPGCAP) Santa Catarina State University (UDESC) Brazil Laboratory of Computer Networks and Architecture (LARC) Universidade de São Paulo (USP) Brazil Graduate Program in Software Engineering Federal University of Pampa (Unipampa) Brazil

The use of private or consortium blockchains in organizations’ applications is growing. A relevant aspect of blockchains is the choice of consensus mechanism. This decision delimits which blockchain solutions are suitable for the private scenario. Once the consensus mechanism is chosen, more than one blockchain may be enabled. However, this decision making is not trivial and requires detailed experimental indicators about algorithms and blockchains performance. In this context, we provide a comprehensive performance analysis of the Raft consensus mechanism based on its implementation in Hyperledger Fabric and Ethereum blockchain solutions. We performed our experiments on an OpenStack private cloud using each blockchain developer’s default settings for virtual machines. Our findings show how the implementation of each solution can impact the application’s performance under certain conditions.

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Lightweight SPIFFE Verifiable Identity Document (LSVID): A Nested Token Approach for Enhanced Security and Flexibility in SPIFFE

Lightweight SPIFFE Verifiable Identity Document (LSVID): A N...

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IEEE International Conference on Cloud computing Technology and Science (CloudCom)

作者： Henrique Z. Cochak Charles C. Miers Pedro H.B. Correia Marco A. Marques Marcos A. Simplicio Graduate Program in Applied Computing (PPGCAP) Santa Catarina State University (UDESC) Brazil Laboratory of Computer Networks and Architecture (LARC) Universidade de Sao Paulo (USP) Brazil

ISBN: (数字)9798331507589

ISBN: (纸本)9798331507596

Service identities are crucial for authentication and access control, ensuring that only authorized services access specific resources. The SPIFFE framework addresses workload identity management and authentication effectively but needs support for solutions (e.g., extensible tokens) that fine-granular authorization mechanisms in distributed scenarios can use. In this context, we present the Lightweight SVID (LSVID), an identity document in JSON format that can be extended and used as a token. As an extensible token, Lightweight SVID (LSVID) enables features such as delegation, attenuation, and traceability, enhancing its flexibility and applicability. Our approach provides efficient handling of token extensions and validations, demonstrated through a proof-of-concept implemented in Go. Baseline results indicate that LSVID critical operations are efficient, with processing times in the microsecond range, offering significant functional advantages over the traditional JWT-SVIDs, one of two key security documents from SPIFFE.

关键词： Computers Authorization Cloud computing Authentication Attenuation

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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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Management of intellectual capital in a system of management accounting information 6

Management of intellectual capital in a system of management...

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6th International Conference on Computers Communications and Control, ICCCC 2016

作者： Piontkewicz, Regiane Freitas, Maria Do Carmo D. Kemczinski, Avanilde Martin, Claudia Duran San Department of Industrial Engineering Federal University of Paraná Curitiba Brazil Department of Science and Information Management Faculty of Information Management Federal University of Paraná Curitiba Brazil Graduate Program in Applied Computing Computer Science Department Santa Catarina State University Joinville Brazil Department of Industrial Engineering Faculty of Engineering University of Santiago de Chile Santiago Chile

ISBN: (纸本)9781509017355

The recognition of Intellectual Capital as a source of competitive advantage and differentiation element for organizations requires an application of new management strategies that include this feature. Considering the importance of the Accounting Information System (AIS) in organizations, the research has the main objective to investigate the contributions of accounting as Management Information System in management of Intellectual Capital in an organization. Therefore, it was adopted a single case study as research strategy, applied in a Brazilian industry of consumption goods, on the market for over 85 years. The results obtained in the documentary analysis, questionnaires, interviews and literature show that the Accounting Management Information System (AMIS) contributes to the management of Intellectual Capital. In the investigated organization, AMIS is widely used and shows similarities with the specifications found in the literature, possessing the ability of adaptation to receive indicators or variables that enable the management of Intellectual Capital. It was found that the incorporation of the variables of Intellectual Capital in AMIS could be accomplished by adopting the method proposed by López-Ruiz and Nevado-Pena, that uses both traditional financial indicators and indicators of Intellectual Capital, not conflicting with the traditional AMIS, but complementing it. Inserting variables of Intellectual Capital in AMIS also allows uniformity of understanding on the subject by all company managers. © 2016 IEEE.

关键词： Competition

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Using participatory design in designing phase of collaborative systems

Using participatory design in designing phase of collaborati...

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International Conference on Computer Supported Cooperative Work in Design

作者： Luciana Pereira de Araujo Carla Diacui M. Berkenbrock Mauro Marcelo Mattos Eric Boeing UDESC Santa Catarina State University Santa Catarina State University UDESC Computer Science Department Graduate Program in Applied Computing Brazil FURB Development and Transference Technology Lab

In this paper we present the use of participatory design in a public health management system, called PRONTO, that is being developed in Brazil. This system involves a partnership between the city hall and the University of Blumenau and it is being developed by the Development Laboratory and Transfer of Technology. The project involves a health network with 64 units of family health, 8 ambulatories and 1 polyclinic. The paper describes the experience in the project phase of the Multidisciplinary Treatment System module and presents the obtained results.

关键词： Collaboration Registers Public healthcare Prototypes Educational institutions Cities and towns

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Analyzing Performance of the Parallel-based Fractal Image Compression Problem on Multicore Systems

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AASRI Procedia 2013年 5卷 140-146页

作者： Roberto de Quadros Gomes Vladimir Guerreiro Rodrigo da Rosa Righi Luiz Gonzaga da Silveira Jinyoung Yang Applied Computing Graduate Program –PIPCA - UNISINOS–Unisinos Avenue 950 São Leopoldo RS Brazil Korean Advanced Institute of Science and Technology –KAIST – 291 Daehak-ro Yuseong-gu Daejeon 305-701South Korea

Both the size and the resolution of images always were key topics in the graphical computing area. Especially, they become more and more relevant in the big data era. We can observe that often a huge amount of data is exchanged by medium/low bandwidth networks or yet, they need to be stored on devices with limited space of memory. In this context, the present paper shows the use of the Fractal method for image compression. It is a lossy method known by providing higher indexes of file reduction through a highly time consuming phase. In this way, we developed a model of parallel application for exploiting the power of multiprocessor architectures in order to get the Fractal method advantages in a feasible time. The evaluation was done with different-sized images as well as by using two types of machines, one with two and another with four cores. The results demonstrated that both the speedup and efficiency are highly dependent of the number of cores. They emphasized that a large number of threads does not always represent a better performance.

关键词： Parallel programing Fractal Coding Multicore architectures Parallel modeling Threads Performance analysis

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Low Complexity Broadband Array Processing in Dynamic Scenarios with Jamming

Low Complexity Broadband Array Processing in Dynamic Scenari...

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IEEE Conference on Vehicular Technology (VTC)

作者： Daniel V. De Lima João Paulo J. Da Costa Ricardo K. Miranda Antonio Arlis S. Da Silva Giovanni A. Santos José Alfredo R. Vargas Auzuir R. De Alexandria Postgraduate Program in Telecommunications Engineering (PPGET) IFCE Fortaleza Brazil 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 Postgraduate Program in Mechatronics Engineering (PPMEC) UnB Brasilia Brazil

ISBN: (数字)9798350387414

ISBN: (纸本)9798350387421

Vehicle-to-Everything (V2X) networks require low-latency communications utilizing a broad spectrum while operating under jamming. In this sense, low complexity antenna array-based broadband jamming mitigation schemes are crucial in order to allow low latency communication and low-cost hardware. In this paper we propose low-complexity algorithms for signal recovery in broadband processing scenario applied to V2X. Numerical simulation of a jamming scenario demonstrate the proposed algorithm achieving the same performance in terms of signal-to-interference plus noise ratio (SINR) as the state-of-the-art while taking signiflcantly less time to compute.

关键词： Heuristic algorithms Prevention and mitigation Interference Numerical simulation Broadband communication Broadband antennas Jamming

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Crop root bacterial and viral genomes reveal unexplored species and microbiome patterns

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Cell 2025年第9期188卷 2521-2539.e22页

作者： Dai, Rui Zhang, Jingying Liu, Fang Xu, Haoran Qian, Jing-Mei Cheskis, Shani Liu, Weidong Wang, Binglei Zhu, Honghui Pronk, Lotte J.U. Medema, Marnix H. de Jonge, Ronnie Pieterse, Corné M.J. Levy, Asaf Schlaeppi, Klaus Bai, Yang Institute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing 100101 China Peking-Tsinghua Center for Life Sciences State Key Laboratory of Gene Function and Modulation Research Peking-Tsinghua-NIBS Graduate Program School of Life Sciences Peking University Beijing 100871 China CAS-JIC Centre of Excellence for Plant and Microbial Science Institute of Genetics and Developmental Biology Chinese Academy of Sciences Beijing 100101 China College of Advanced Agricultural Sciences University of Chinese Academy of Sciences Beijing 100101 China Department of Plant Pathology and Microbiology Institute of Environmental Science The Faculty of Agriculture Food and Environment The Hebrew University of Jerusalem Rehovot Israel State Key Laboratory of Applied Microbiology Southern China Institute of Microbiology Guangdong Academy of Sciences Guangzhou 510070 China Bioinformatics Group Wageningen University & Research Wageningen 6708 PB Netherlands Plant-Microbe Interactions Department of Biology Science for Life Utrecht University Utrecht 3584 CH Netherlands AI Technology for Life Department of Information and Computing Sciences Science for Life Utrecht University Utrecht 3584 CC Netherlands Department of Environmental Sciences University of Basel Basel 4056 Switzerland

Reference genomes of root microbes are essential for metagenomic analyses and mechanistic studies of crop root microbiomes. By combining high-throughput bacterial cultivation with metagenomic sequencing, we constructed comprehensive bacterial and viral genome collections from the roots of wheat, rice, maize, and Medicago. The crop root bacterial genome collection (CRBC) significantly expands the quantity and phylogenetic diversity of publicly available crop root bacterial genomes, with 6,699 bacterial genomes (68.9% from isolates) and 1,817 undefined species, expanding crop root bacterial diversity by 290.6%. The crop root viral genome collection (CRVC) contains 9,736 non-redundant viral genomes, with 1,572 previously unreported genus-level clusters in crop root microbiomes. From these, we identified conserved bacterial functions enriched in root microbiomes across soils and host species and uncovered previously unexplored bacteria-virus connections in crop root ecosystems. Together, the CRBC and CRVC serve as valuable resources for investigating microbial mechanisms and applications, supporting sustainable agriculture. © 2025 The Authors

关键词： bacteria crop genome genomic resources root microbiome virus

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Three-Dimensional Wound Reconstruction using Point Descriptors: A Comparative Study

Three-Dimensional Wound Reconstruction using Point Descripto...

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Annual IEEE Symposium on Computer-Based Medical Systems

作者： José R. A. Souto Fellipe M. C. Barbosa Bruno M. Carvalho Graduate Program in Systems and Computing Federal University of Rio Grande do Norte Natal Brazil Department of Informatics and Applied Mathematics Federal University of Rio Grande do Norte Natal Brazil

Precise measurements of chronic wound areas are very important for measuring the efficacy of different treatments, since it provides a clear picture of the chosen treatment evolution. The most used techniques still in use for measuring the wound areas involve manual measuring, paper scales and/or acetate tracing, with each health professional possibly measuring the wounds in slightly different ways, specially when dealing with the wound's depth. Thus, it is common to observe inconsistent wound area estimations by different health workers on the same wounds. Moreover, the measuring process requires direct contact with the wound, increasing the contamination and infection risks, besides possibly causing discomfort for the patient. An alternative that has already been proved successful is the use of Structure from Motion (SfM) to recover three-dimensional representations of a wound's surface and estimate that area. In this work, we analyze the effectiveness of several widely used point descriptors (BRIEF, DRINK, FREAK, ORB, SIFT and SURF) in the SfM wound reconstruction task when applied to real images of realistic synthetic wounds made of latex placed on different areas of the body. The results showed that SIFT, SURF and DRINK produced better area estimates. Since the execution time is a factor, we selected DRINK as the standard descriptor for our system, since it is approximately 9.3 and 4.9 times faster than SIFT and SURF, respectively.

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Comparative Evaluation of Image Classification Models for Ornamental Rock Classification

Comparative Evaluation of Image Classification Models for Or...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： Douglas Fiório Dias Karin Satie Komati Kelly Assis de Souza Gazolli Graduate Program in Applied Computing PPComp IFES Campus Serra Serra-ES Brazil PPComp IFES Campus Serra Instituto Federal do Espírito Santo Serra-ES Brazil

ISBN: (数字)9798331540975

ISBN: (纸本)9798331540982

The ornamental rock industry in Brazil is distinguished by its diverse assortment of rock types, presenting a unique challenge in classification due to its inherent subjectivity and reliance on expert judgment. to address this problem, the present study introduces a publicly accessible database encompassing 12 distinct classes of ornamental rocks, including granite, marble, and quartzite. This database comprises 1,798 images sourced directly from entities within the stone sector. We employ and compare the performance of seven neural network models for ornamental rock image classification: VGG16, VGG19, ResNet50, ResNet101, Xception, InceptionV3, and the Vision Transformer (ViT). Our empirical analysis reveals that the ViT model outperforms conventional architectures, achieving an accuracy rate of 98.36%.

关键词： Computer vision Analytical models Accuracy Databases Computational modeling Pancreatic cancer Computer architecture Rocks Transformers Residual neural networks

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