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Perception Based Associations in Time Series Data Bases

Perception Based Associations in Time Series Data Bases

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Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： I. Z. Batyrshin L. B. Sheremetov Research Program in Applied Mathematics and Computing Mexican Petroleum Institute Mexico

The paper discusses different aspects of the development of perception-based decision making systems. These systems are based on inference procedures transforming associations extracted from the time series data bases into generalized-constraint inference rules. Different types of simple and composite perception based constraints are discussed. Various measures of association between time series in the presence of perception based constraints are considered: association rules, association rules with perception based frequencies, correlation rules, and local trend associations based on moving approximations. Finally, the methods of transformation of these associations into the inference rules that can be used in perception based reasoning are proposed

关键词： Decision making Data mining Humans Petroleum Association rules Frequency Mathematics Wind forecasting Wind speed Meteorology

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An Energy-Efficient Bio-Scheduling Model For Emergency Networks

An Energy-Efficient Bio-Scheduling Model For Emergency Netwo...

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IEEE Conference on Wireless Communications and Networking

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

The efficient management of resources after a disaster, must take place within a short time and efficiently. Therefore, resource scheduling protocol which shares resources among the victims, respecting time constraints, is decisive. In disaster scenarios, communication infrastructure is usually damaged and a commonly used solution for ensuring connectivity between victims and providers is Mobile Ad Hoc Network (MANET). Fire brigade and ambulances might be insufficient if the number of victims is high. Hence, in order to provide an efficient resource scheduling approach that cares about the energy consumption, the number of requesters attended and the processing time, we present a Scheduling Resource protocol. Thus, to reduce the provider dislocation time and increase the number of victims attended the protocol was modeled based on Genetic Algorithms. Results show that this approach maintains the trade-off between the number of victims attended, therefore, minimize the energy consumption.

关键词： Energy consumption Protocols Scheduling algorithms Biological system modeling Process control Scheduling Space exploration

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GreenRM: Reference model for sustainable software development 26

GreenRM: Reference model for sustainable software developmen...

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26th International Conference on Software Engineering and Knowledge Engineering, SEKE 2014

作者： Thiry, Marcello Frez, Liliane Zoucas, Alessandra Applied Computing Graduate Program University of Vale do Itajaí - UNIVALI Florianópolis Brazil Department of Knowledge Management Federal University of Santa Catarina - UFSC Florianópolis Brazil

Information technology and the environment have a relationship until then signaled by the effects caused by excessive energy consumption, greenhouse gas emissions and the e-waste. In our paper we present the GreenRM reference model for sustainable software development. We focus on the model structure definition and the benefits identified with its implementation. We also present a comparison between the model processes and attributes with the environmental requirements of ISO/IEC 14001 to demonstrate its compatibility. In addition we present a model early assessment in three Brazilian software organizations to evaluate the model technical and financial feasibility. Copyright © 2014 by Knowledge Systems Institute Graduate School.

关键词： Green IT Green software engineering Process reference model Sustainable development

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Joint Cache Placement and Request Routing Optimization in Heterogeneous Cellular Networks

Joint Cache Placement and Request Routing Optimization in He...

引用

IEEE Symposium on Computers and Communications (ISCC)

作者： Marisangila Alves Guilherme Piĉgas Koslovski Graduate Program in Applied Computing - Santa Catarina State University - UDESC

ISBN: (数字)9781665497923

ISBN: (纸本)9781665497930

The 5G Quality-of-Service (QoS) objectives con-tributed to the Heterogeneous Cellular Network (HCN) evolution, dictating that applications can rely on low-latency and high-bandwidth networks. However, concurrent requests of large amount of multimedia data generate a burden on the backhaul and fronthaul networks due to redundant retransmissions and pose challenges for achieving the QoS objectives. Although mobile network operators can place content closer to the HCN edge to improve the overall QoS indicators, there are still challenges to design a cache policy aware of limited storage capacity, different content popularity, device mobility, and network congestion. This work innovates by introducing a cooperative policy to join caches placement and routing users' requests atop an HCN. By combining networking and cache QoS requirements, the policy balances the fronthaul network load and dynamically maps the caches to HCN resources. We formulated the cache policy through linear programming and in-depth evaluated its performance using extensive simulation scenarios. The results indicate that the proposed network-aware policy decreases the network latency, even when subject to changes in content popularity distribution and total HCN storage capacity.

关键词： Cellular networks Measurement 5G mobile communication Quality of service Routing Linear programming Low latency communication

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

Escada: Predicting Virtual Machine Network Bandwidth Demands...

引用

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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3D data acquisition using stereo camera 38

3D data acquisition using stereo camera

引用

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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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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