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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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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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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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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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SDN4Moodle: an SDN-based Toolset to Enhance QoS of Moodle Platform

SDN4Moodle: an SDN-based Toolset to Enhance QoS of Moodle Pl...

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IEEE Symposium on Computers and Communications (ISCC)

作者： Anderson H. da Silva Marcondes Charles C. Miers Maurcio A. Pillon Guilherme P. Koslovski Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

Network configuration, performance, and congestion impact the Quality of Service (QoS) of Moodle Learning Management System (LMS). Moreover, LMSs composing modules have different QoS demands for each activity. Upon a network, they compete for resources with applications for social media, streaming, chat, cloud file synchronization, games, among others. Eventually, the network congestion can leave the LMS service unavailable for students and professors. Recently, the popularization of Software Defined Networks (SDN) revolutionized the network management. We propose SDN4Moodle, a toolset to increase the QoS of Moodle services. SDN4Moodle was implemented in conformity to Moodle's plugin guidelines, and it is controlled by internal Moodle events. Each action performed by a Moodle's user is dynamically translated into network forwarding rules, and switches configuration. Our experimental results indicates SDN4Moodle, an open-source system, efficiently achieves flows isolation and bandwidth control on shared networks.

关键词： Quality of service Monitoring Protocols Streaming media Servers Control systems Computers

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An Evolutive Hybrid Approach to Cloud computing Provider Selection

An Evolutive Hybrid Approach to Cloud Computing Provider Sel...

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Congress on Evolutionary Computation

作者： Lucas Borges De Moraes Adriano Fiorese Rafael Stubs Parpinelli Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

The success of cloud computing technology has leveraged the emergence of a large number of new companies providing cloud computing services. Choosing which cloud providers are the most suitable to attend consumers desired quality of service has become a hard problem. In order to qualify such providers, performance indicators (PIs) are useful tools for systematic and synthesized information collection. Thus, the problem approached in this work is to find the best set of cloud computing providers that satisfies a customer's request, with the least amount of providers and the lowest price. Hence, this work proposes a hybrid Genetic Algorithm (GA) to address this problem. In experiments, three approaches, using PIs as input, are employed: a simple matching algorithm, a GA and the proposed hybrid matching-GA approach. The hybrid method combines the qualities of both the matching algorithm and the GA showing promising results.

关键词： Cloud computing Genetic algorithms Quality of service Computational modeling Measurement Databases Encoding

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A Method to Suggest Alternative Routes Based on Analysis of Automobiles' Trajectories

A Method to Suggest Alternative Routes Based on Analysis of ...

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Conferencia Latinoamericana En Informatica (CLEI)

作者： João Pedro Schmitt Fabiano Baldo Santa Catarina State University Graduate Program in Applied Computing Joinville Brazil

ISBN: (纸本)9781728104386

Inexperienced drivers usually use the most-known paths to move inside the cities, while drivers with a better knowledge of the road network normally taken alternative routes that are shorter, faster or safer. This knowledge about roads usage, when shared with other drivers, could offer more paths options to distribute the traffic load across the city by suggesting alternative routes. However, the problem lies in how to suggest alternative route directions for ordinary drivers considering knowledge gathered from experienced drivers. In order to try to solve this problem, it is proposed an algorithm, named TODS - Trajectory Outlier Detection and Segmentation, to group and segment car road trajectories in standard and alternative routes based on city roads usage in different day times periods. After that, the segmentation results are suggested as driving directions for ordinary drivers. To evaluate the results was performed a qualitative comparison with TRA-SOD algorithm considering the segmentation process. The tests were executed using two trajectories datasets collected by drivers in San Francisco - USA and Joinville - Brazil. The results assessment indicate that TODS is superior to TRA-SOD due to its segmentation characteristics. Besides that, it has been observed that the time period of the day influences how routes are used along the day.

关键词： Trajectory Standards Roads Urban areas Clustering algorithms Automobiles

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An Improved Evolutionary Hybrid Method for Cloud Provider Selection

An Improved Evolutionary Hybrid Method for Cloud Provider Se...

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Brazilian Conference on Intelligent Systems (BRACIS)

作者： Lucas Borges de Moraes Adriano Fiorese Rafael Stubs Parpinelli Santa Catarina State University Joinville Brazil Graduate Program in Applied Computing Santa Catarina State University Joinville Brazil

Cloud computing (CC) popularization unleashed the creation and competition of a large number of new companies providing CC services, the so called Cloud Providers (CPs). Thus, select the smallest CP set with the lowest price that are the most suitable to a given request (customer's needs, such as demanded resources and desired service quality) becomes a hard problem. Nonetheless, robust search methods like metaheuristics ones are used to solve it, for instance Evolutionary Algorithms (EAs). Performance Indicators (PIs) were used to quantify features of each CP used later to select them using a method. This paper proposes an improved hybrid method which uses in sequence: a deterministic, an EA and a local search method to find the most suitable possible CP set in the solution search space. This hybrid method was tested and has the highest assertiveness among all others methods developed to solve this problem, becoming a promising solution to a real application.

关键词： Cloud computing Genetic algorithms Indexes Search methods Adaptation models Companies

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GreenRM: Reference model for sustainable software development 26

GreenRM: Reference model for sustainable software developmen...

引用

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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An Energy Efficient Mesh LNN Routing Protocol Based on Ant Colony optimization

An Energy Efficient Mesh LNN Routing Protocol Based on Ant C...

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IEEE International Conference on Industrial Informatics (INDIN)

作者： Vinícius de Figueiredo Marques Janine Kniess Rafael Stubs Parpinelli Graduate Program in Applied Computing Santa Catarina State University Joinville SC Brazil

Low-power and Lossy network (LNN) is commonly deployed in Internet of Things applications. It consists of a considerable amount of devices, also known as motes, with sensory capacity and wireless connectivity deployed in a wide geographical area. Such devices face limitations in terms of energy, memory and processing. A common topology in LNN is a mesh-like one. The communication between nodes often happens in a multi-hop fashion due to their limited transmission range. There is a need of efficient routing protocols, in terms of energy consumption. The present paper depicts a routing algorithm based on ant colony optimization. It also shows details about its implementation in the Contiki OS network system and analysis of its performance in comparison with the default Contiki's mesh routing protocol. Results shown that the proposed algorithm had a better performance in terms of packet delivery rate, duty cycling and energy consumption.

关键词： Routing protocols Energy consumption Routing Measurement Mathematical model Ant colony optimization Wireless sensor networks

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