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Modelling IF Steels Using Artificial Neural Networks and Automated Machine Learning 20th

Modelling IF Steels Using Artificial Neural Networks and Aut...

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20th International Conference on Hybrid Intelligent Systems, HIS 2020 and 12th World Congress on Nature and Biologically Inspired computing, NaBIC 2020

作者： Sgrott, Douglas Macedo Cerqueira, Fabricio Moreira Miranda, Fabiano J. F. Filho, José F. S. Parpinelli, Rafael S. UDESC Graduate Program in Applied Computing Santa Catarina State University JoinvilleSC Brazil Global Research and Development Group ArcelorMittal São Francisco do SulSC Brazil

ISBN: (纸本)9783030730499

The development of steels requires multiples manufacturing steps and involves a high number of variables and non-linear processes. Although there are data-driven models used to predict such steels’ mechanical properties, their design often requires specialized Machine Learning knowledge, hampering the application of such models. In this paper, an Automated Machine Learning (AutoML) framework, namely Auto-Keras, was employed to generate and train a data-driven model on a steel data-set through Neural Architecture Search. This paper proposes predicting the mechanical properties of steels applying Artificial Neural Networks (ANN) as a multivariate regression problem using AutoML. The results show that even with a vast parameter search space, it is possible to generate ANNs with different architectures that provide high performance with free and open-source AutoML. Three ANNs with different activation functions were optimized using Auto-Keras and compared. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Machine learning

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3D data acquisition using stereo camera 38

3D data acquisition using stereo camera

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38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018

作者： Kirsten, Evandro Inocencio, Leonardo Campos Veronez, Maurício Roberto Da Silveira, Luiz Gonzaga Bordin, Fabiane Marson, Fernando Pinho Advanced Visualization and Geoinformatics Laboratory UNISINOS Saõ Leopoldo RS Brazil Graduate Program on Applied Computing UNISINOS Av. UNISINOS 950 Saõ Leopoldo RS93022-750 Brazil

ISBN: (纸本)9781538671504

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. © 2018 IEEE.

关键词： Computer vision

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Escada: Predicting Virtual Machine Network Bandwidth Demands for Elastic Provisioning in IaaS Clouds 4

Escada: Predicting Virtual Machine Network Bandwidth Demands...

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4th IEEE International Conference on Cloud and Autonomic computing, ICCAC 2017

作者： Marques, Jonatas Adilson Obelheiro, Rafael Rodrigues Institute of Informatics Federal University of Rio Grande Do sul Porto Alegre Brazil Graduate Program in Applied Computing Department of Computer Science Santa Catarina State University Joinville Brazil

ISBN: (纸本)9781538619391

In Infrastructure as a Service clouds, customers lease virtual resources (e.g., CPU, memory, network) offered by cloud providers, paying for the allocated capacity of resources, regardless of their effective use. In this context, it is in the interest of the customers to reserve resources with sufficient capacity so that their applications achieve good performance while, at the same time, minimizing their expenses with idle capacities. The correct provisioning of resources is also invaluable to providers, who seek to maximize the resource usage of their physical infrastructures, avoiding spending maintenance costs with unused hardware such as high capacity servers and networking devices. We introduce Escada, a novel model for network bandwidth prediction to guide the provisioning of virtual machines. Escada is application-oblivious and dynamically adapts to changes in a virtual machine workload profile. The network flows of a virtual machine are monitored and used to estimate its total required bandwidth over a time period. A prediction algorithm is then applied to the entire history of estimates to predict the virtual machine future required bandwidth. Our experimental evaluation shows that the estimates provided by Escada are useful for guiding the prediction of network bandwidth requirements, providing accurate bandwidth estimates even when the network is under-provisioned. Furthermore, Escada correctly adjusts its prediction algorithm faster than the state-of-the-art model and predicts more reliably during the adjusting period. © 2017 IEEE.

关键词： Virtual machine

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On Generating VHDL Descriptions from Aspect-Oriented UML/MARTE Models

On Generating VHDL Descriptions from Aspect-Oriented UML/MAR...

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Brazilian Symposium on computing System Engineering (SBESC)

作者： Marco Aurélio Wehrmeister Marcela Leite Graduate Program in Applied Computing (PPGCA) Federal University of Technology - Parana (UTFPR) Curitiba Brazil Graduate Program in Applied Computing (PPGCA) Instituto Federal Catarinense (IFC Araquari) Araquari Brazil

This paper discusses an approach to generate VHDL descriptions from high-level specifications, specifically UML/MARTE models that include aspect-oriented semantics. Standard UML diagrams describe the handling of functional requirements, whereas crosscutting concerns associated with the non-functional requirements are handle by aspects. UML-to-VHDL transformation is performed automatically by a script-based code generation tool named GenERTiCA. For that, mapping rules scripts define how to generate VHDL constructs from model elements, including the implementation of aspects adaptations. The generated VHDL description does not require any manual modification, in order to be fully synthesized onto a FPGA device. Some case studies have been performed to evaluate the proposed approach, however, this paper discusses the line-following robot implemented as a FPGA-based embedded system. An improvement in system design has been obtained, namely an increase in system performance and a better utilization of FPGA reconfigurable resources. Such positive results are related to a better modularization of components achieved by using the proposed high-level approach.

关键词： Unified modeling language Field programmable gate arrays Object oriented modeling Embedded systems Hardware Robots

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Aspect-Oriented Model-Driven Engineering for FPGA/VHDL Based Embedded Real-Time Systems

Aspect-Oriented Model-Driven Engineering for FPGA/VHDL Based...

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International Symposium on Object-Oriented Real-Time Distributed computing

作者： Marcela Leite Marco Aurélio Wehrmeister Graduate Program in Applied Computing (PPGCA) Santa Catarina State University (UDESC) Joinville Brazil Graduate Program in Applied Computing (PPGCA) Federal University of Technology - Paraná (UTFPR) Curitiba Brazil

This work aims to assist the design of FPGA-based embedded system by extending the AMoDE-RT approach in order to support automatic generation of VHDL descriptions from high-level specification of embedded systems. This paper discusses the handling of non-functional requirements using concepts from Aspect-Oriented Software Development (AOSD) paradigm. The proposed approach promotes the specification of platform-independent aspects in UML/MARTE model, which is later used to generate the system VHDL description. A set of mapping rules has been created to implement the model-level aspects using VHDL constructs/statements. GenERTiCA tool has been extended to allow the UML-to-VHDL automatic transformation, including the weaving of aspects adaptations code into the generated VHDL description. Such an approach allows not only the generation of a fully sinthesizable VHDL description, but also the reuse of aspects in distinct implementation technologies. The obtained results show an increase in system performance and a better utilization of FPGA configurable resources due to the improved components modularization. These results indicate the practicability of full translation of platform-independent aspects into VHDL, opening room for gains in embedded real-time system design, including reuse and design effort reduction.

关键词： Unified modeling language Field programmable gate arrays Adaptation models Clocks Real-time systems Embedded systems

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Playing the Original Game Boy Tetris Using a Real Coded Genetic Algorithm

Playing the Original Game Boy Tetris Using a Real Coded Gene...

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Brazilian Conference on Intelligent Systems (BRACIS)

作者： Renan Samuel da Silva Rafael Stubs Parpinelli Graduate Program in Applied Computing State University of Santa Catarina Joinville Brazil

Tetris is a very popular game, having sold more than 450 millions units according to Forbes and it is also a very popular research subject in the field of Artificial Intelligence and Computational Intelligence. This work has two main goals. The first goal consists of providing a standardized testing scenario based on an Emulator to run the Original Tetris Game. The second goal is to test several feature sets found in the literature in the proposed Real Coded Genetic Algorithm Based Agent. The results obtained showed the viability of having an agent playing the Original Tetris Game.

关键词： Games Genetic algorithms Standards Artificial neural networks Testing Emulation Sociology

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Scheduling services for MANETs using genetic algorithms

Scheduling services for MANETs using genetic algorithms

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International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

作者： Marcelo Petri Janine Kniess Rafael Stubs Parpinelli Graduate Program in Applied Computing Santa Catarina State University Joinville Brasil

This paper presents a genetic algorithm for resource scheduling in service discovery to MANETs operating in emergency scenarios. The shared resources could be ambulances or support cars. Through an appropriate model for scheduling resources, we aim to attend the greatest number of victims in the affected area. Performance evaluation results on the Network Simulator NS-3 confirm the effectiveness of genetic algorithm for resource scheduling when compared to the A-Star algorithm which is simple heuristic method, that prioritizing paths that seem to be leading closer to the goal.

关键词： Protocols Genetic algorithms Scheduling Ad hoc networks Mobile computing Biological cells Processor scheduling

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On using fuzzy logic to control a simulated hexacopter carrying an attached pendulum

On using fuzzy logic to control a simulated hexacopter carry...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Emanoel Koslosky Marco A. Wehrmeister João A. Fabro André S. de Oliveira Graduate Program in Applied Computing (PPGCA) Federal University of Technology Curitiba Brazil

Fuzzy logic is used in many applications from industrial process control to automotive applications, including consumers trend forecast, aircraft maneuvering control and others. Considering the increased interest in using of multi-rotor aircrafts (usually called drones) for many kinds of applications, it is important to study new methods to improve multi-rotor maneuverability while controlling its stability in a proper way. Controlling the flight of multi-rotors, specially those equipped six rotors, is not a trivial task. When considering the design of such a control systems, traditional approaches such as PD/PID are very difficult to design, in spite of being easily implementable. This work proposes an approach based on multiple interconnected fuzzy controllers, aiming to control the various aspects related to maneuverability of a hexacopter carrying a free payload forming a pendulum. The behavior produced by such a control system has been simulated on a well-known robotics simulation environment and analyzed in terms of flight stability, as well as roll, pitch and yaw movements. The results show the feasibility of the proposed approach in keeping the hexacopter flying in a stable way.

关键词： Rotors Acceleration Payloads Control systems Helicopters Sensors

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Gamification strategies for mobile device applications: A systematic review

Gamification strategies for mobile device applications: A sy...

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Iberian Conference on Information Systems and Technologies (CISTI)

作者： Nathália Pinto Cechetti Daiana Biduki Ana Carolina Bertoletti De Marchi Graduate Program in Applied Computing Universidade de Passo Fundo - UPF Brazil

ISBN: (纸本)9781509050475

In the quest to engage and motivate users on the use of mobile applications, the gamification concept has been excelling in the market since incorporates game elements in a non-game context. Scoring systems, challenges, competitions and badges, are some of the elements implemented in many fields, such as health, education, ecological awareness, among others. In this context, this study aimed to systematically review available literature to identify gamification strategies used in mobile applications. A search was conducted in ACM, Science Direct and Scopus databases, from March to June 2016. A total of 402 studies were found, 23 of which met the eligibility criteria. The results demonstrated the heterogeneity of gamification elements being used and the impact they caused in the applications, especially as a motivational factor for users. This study provides the basis for future research on gamification methods and emphasizes the importance of this concept to increase engagement and provide enjoyment to users.

关键词： Mobile communication Games Education Databases Mobile applications Crowdsourcing Systematics

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The Protein Structure Prediction Problem Approached by a Cascade Differential Evolution Algorithm Using ROSETTA

The Protein Structure Prediction Problem Approached by a Cas...

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Brazilian Conference on Intelligent Systems (BRACIS)

作者： Pedro Henrique Narloch Rafael Stubs Parpinelli Graduate Program in Applied Computing State University of Santa Catarina Joinville Brazil

The Protein Structure Prediction (PSP) is one of the most challenging problems in Bioinformatics. In computationally terms, the PSP is classified as a NP-complete problem. In this way, metaheuristics became very interesting to find good solutions in a plausible processing time. In this work we propose a distinct Differential Evolution approach that mix different mutation mechanisms (DEcascade) to solve the PSP using the backbone side chain torsion angles representation with the ROSETTA energy function. Four proteins are used in the experiments: 1ZDD, 1CRN, 1ENH and 1AIL. To evaluate the proposed approach, two variations of DEcascade are used and compared with singlemutation mechanisms DE and literature work. Both variations showed competitive results when compared with the literature and better energy values than other DE approaches. Also, the population diversity is monitored during the optimization process showing that the diversity balance is a key feature for good solutions.

关键词： Proteins Sociology Statistics Optimization Prediction algorithms Lattices Amino acids

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