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8 Papers

A Framework Model for Supporting Transparent Polyglot Persistence with a Unified API and Extensible for Different Database Types

Topics: Coupling and Integrating Heterogeneous Data Sources; Non-Relational Databases

Authors: Fernando Pereira 1 ; 2 , Eduardo Guerra 3 and Reinaldo Rosa 2

Affiliations: 1 National Centre for Monitoring and Early Warning of Natural Disasters (CEMADEN), São Joś e dos Campos/SP, Brazil , 2 National Institute for Space Research (INPE), São Joś e dos Campos/SP, Brazil , 3 Free University of Bozen-Bolzano - UNIBZ, Bozen-Bolzano, Italy

Digital Object Identifier: 10.5220/0013369300003929

Proceedings of ICEIS 2025, ISBN: 978-989-758-749-8

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This work introduces the Transparent Polyglot Persistence Framework Model (TPPFM) for supporting polyglot persistence through a unified API for extension. The framework employs the Esfinge Query Builder as its basis, restructuring it to provide polyglot functionality in alignment with the proposed framework model. A real database case study is conducted to demonstrate the viability of the proposed framework and its reference implementation. The ease of implementation for the developer and the transparency concerning the utilization of several databases within the same domain model are demonstrated.

Automating the Architecture Evaluation of Enterprise Information Systems

Topics: Enterprise Engineering; Methods, Processes and Patterns for EA Development; Measurements, Metrics and Evaluation of EA Artefacts and Processes

Authors: Felipe Pinto 1 , Uirá Kulesza 2 and Eduardo Guerra 3

Affiliations: 1 Federal University of Rio Grande do Norte (UFRN) and Science and Technology of Rio Grande do Norte (IFRN), Brazil , 2 Federal University of Rio Grande do Norte (UFRN), Brazil , 3 National Institute for Space Research, Brazil

Digital Object Identifier: 10.5220/0004452103330340

Proceedings of ICEIS 2013, ISBN: 978-989-8565-61-7

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Traditional scenario-based architectural analysis methods rely on manual review-based evaluation that requires advanced skills from architects and evaluators. They are applied when the architecture has been specified, but before its implementation has begun. The system implementation is one additional and fundamental element that should be considered during the software architecture evaluation. In this paper, we propose an approach to add information, which ideally should come from traditional evaluation methods, about scenarios and quality attributes to the source code using metadata in order to allow the automatic analysis producing a report with information about scenarios, quality attributes, source code assets and potential tradeoff points among quality attributes. The paper also presents the preliminary results of the approach application to an enterprise web information system and an e-commerce web system.
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e-Business

Enterprise Engineering

Enterprise Information Systems

AN OPTIMIZATION MODEL FOR ALLOCATION OF NETWORK USERS IN MACRO-FEMTO NETWORKS - An Approach based on Energy Efficiency and Quality of Service

Topic: Optimization Techniques for Efficient Energy Consumption

Authors: Diego L. Cardoso 1 , Marcelino S. Silva 1 , Adamo L. Santana 1 , Carlos R. L. Francês 1 , Solon V. Carvalho 2 and Nandamudi L. Vijaykumar 2

Affiliations: 1 Federal University of Pará, Brazil , 2 National Institute for Space Research, Brazil

Digital Object Identifier: 10.5220/0003953202090214

Proceedings of SMARTGREENS 2012, ISBN: 978-989-8565-09-9

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The femtocell concept aims to combine fixed-line broadband access with mobile telephony using the deployment of low-cost, low-power third generation (3G) base stations in the subscribers' homes. While the self-configuration of femtocells is a plus, it can limit the quality of users and reduce the efficiency of the network, based on outdated allocation parameters such as signal power level. To this end, this paper presents a proposal for optimized allocation of users on a macro-femto network, aiming to minimize the consumption of battery without affecting the quality of service of applications. Markov Decision Process Theory is used to model the system, which is modeled as observed by the user’s side. So, when the user needs to connect to make a voice call or a data call, the mobile phone has to decide in which network to connect, using the information of number of connections, the quality of service parameters and the signal power level of each network.
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Energy and Economy

Energy-Aware Systems and Technologies

Optimization Techniques for Efficient Energy Consumption

WIRELESS MESH NETWORKS PLANNING BASED ON PARAMETERS OF QUALITY OF SERVICE

Topics: Network Optimization; OR in Telecommunications

Authors: Marlon da Silva 1 , Edson Luiz França Senne 2 and Nandamudi Lankalapalli Vijaykumar 1

Affiliations: 1 National Institute of Spatial Researches, Brazil , 2 UNESP, Brazil

Digital Object Identifier: 10.5220/0003760104410446

Proceedings of ICORES 2012, ISBN: 978-989-8425-97-3

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The use of QoS parameters to evaluate the quality of service in a mesh network is essential mainly when providing multimedia services. This paper proposes an algorithm for planning wireless mesh networks in order to satisfy some QoS parameters, given a set of test points (TPs) and potential access points (APs). Examples of QoS parameters include: probability of packet loss and mean delay in responding to a request. The proposed algorithm uses a Mathematical Programming model to determine an adequate topology for the network and Monte Carlo simulation to verify whether the QoS parameters are being satisfied. The results obtained show that the proposed algorithm is able to find satisfactory solutions.
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Applications

Operational Research

Pattern Recognition

Network Optimization

OR in Telecommunications

Software Engineering

A MEMETIC ALGORITHM FOR A CONTINUOUS CASE OF THE BERTH ALLOCATION PROBLEM

Topics: Genetic Algorithms; Evolutionary Multiobjective Optimization; Evolutionary Art and Design; Hybrid Systems

Authors: Geraldo Regis Mauri 1 , Larice Nogueira de Andrade 2 and Luiz Antonio Nogueira Lorena 3

Affiliations: 1 Federal University of Espírito Santo - UFES, Brazil , 2 Federal University of Triângulo Mineiro - UFTM, Brazil , 3 National Institute for Space Research, Brazil

Digital Object Identifier: 10.5220/0003636601050113

Proceedings of ECTA 2011/IJCCI, ISBN: 978-989-8425-83-6

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This work presents a Memetic Algorithm heuristic to solve a continuous case of the Berth Allocation Problem (BAP). The BAP deals with programming and allocating ships to berthing areas along a quay. In general, the continuous case considers that ships have different lengths and can moor anywhere along the quay. However, we consider a quay divided in berths that have limited areas and different equipments to handle the ships. So, we must to assign the ships to berths and determine the berthing time and position for each ship. We treat the ships as rectangles to be placed into a space × time area avoiding overlaps and satisfying time window constraints. Our MA uses a Simulated Annealing (SA) as the local search mechanism, and SA is also applied in a stand alone way to solve the BAP. A two-phase heuristic is also presented to compute the berthing time and position for all of ships during MA and SA execution. Computational results are performed on a set of instances proposed in the literature and new best-known solutions are presented.
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Artificial Intelligence

Evolutionary Multiobjective Optimization

Informatics in Control, Automation and Robotics

Computational Intelligence

Genetic Algorithms

Intelligent Control Systems and Optimization

Evolutionary Art and Design

Hybrid Systems

Soft Computing
Evolutionary Computing

AN EVOLUTIONARY APPROACH FOR ROBUSTNESS TESTING

Topics: Genetic Algorithms; Software Engineering Issues; MetaModeling

Authors: Thaise Yano 1 , Eliane Martins 1 and Fabiano L. de Sousa 2

Affiliations: 1 State University of Campinas, Brazil , 2 National Institute for Space Research, Brazil

Digital Object Identifier: 10.5220/0002294102770280

Proceedings of ICEC 2009/IJCCI, ISBN: 978-989-674-014-6

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In this paper we present an evolutionary testing approach to automatically generate robustness test sequences to test a communication protocol, modeled as an extended finite state machine (EFSM). The model represents the normal situation as well as in presence of faults, which makes the model too large to be treated by conventional test case generation approaches, because of the risk of combinatorial explosion. To cope with this problem, we use a testing approach based on test purposes. To search sequences that satisfy the test purposes, we use two evolutionary algorithms: the Generalized Extremal Optimization (GEO) and a Genetic Algorithm (GA). For the moment, only the control flow part of the model is taken into account. Results show that the approach is viable and potentially useful to consider data flow part of complex EFSM models.
Collapse Button Related Ontology Subjects/Areas/Topics (7)
Artificial Intelligence

Genetic Algorithms

Intelligent Control Systems and Optimization

Computational Intelligence

Informatics in Control, Automation and Robotics

Soft Computing
Evolutionary Computing

DETECTING RECTANGULAR OBJECTS IN URBAN IMAGERY - A Re-Segmentation Approach

Topics: Feature Extraction; Segmentation and Grouping; Data Mining in Pattern Recognition

Authors: Thales Sehn Korting , Luciano Vieira Dutra and Leila Maria Garcia Fonseca

Affiliation: National Institute for Space Research (INPE), Brazil

Digital Object Identifier: 10.5220/0001806702310236

Proceedings of VISAPP 2009/VISIGRAPP, ISBN: 978-989-8111-69-2

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Image segmentation is a broad area, which covers strategies for splitting one input image into its components. This paper aims to present a re-segmentation approach applied to urban imagery, where the interest elements (houses roofs) are considered to have a rectangular shape. Our technique finds and generates rectangular objects, leaving the remaining objects as background. With an over-segmented image we connect adjacent objects in a graph structure, known as Region Adjacency Graph - RAG. We then go into the graph, searching for best cuts that may result in segments more rectangular, in a relaxation-like approach. Graph search considers information about object class, through a pre-classification stage using Self-Organizing Maps algorithm. Results show that the method was able to find rectangular elements, according user-defined parameters, such as maximum levels of graph searching and minimum degree of rectangularity for interest objects.
Collapse Button Related Ontology Subjects/Areas/Topics (14)
Artificial Intelligence

Feature Extraction

Sensor Networks

Computer Vision, Visualization and Computer Graphics

Features Extraction

Signal Processing

Data Mining

Image and Video Analysis

Signal Processing, Sensors, Systems Modeling and Control

Databases and Information Systems Integration

Informatics in Control, Automation and Robotics

Soft Computing
Enterprise Information Systems

Segmentation and Grouping

IMAGE RE-SEGMENTATION - A New Approach Applied to Urban Imagery

Topics: Feature Extraction; Segmentation and Grouping; Data Mining in Pattern Recognition

Authors: Thales Sehn Korting , Leila Maria Garcia Fonseca , Luciano Vieira Dutra and Felipe Castro da Silva

Affiliation: National Institute for Space Research (INPE), Brazil

Digital Object Identifier: 10.5220/0001088104670472

Proceedings of VISAPP 2008/VISIGRAPP, ISBN: 978-989-8111-21-0

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This article presents a new approach for image segmentation applied to urban imagery. The proposed method is called re-segmentation because it uses a previous over-segmented image as input to generate a new set of objects more adequate to the application of interest. For urban objects such as roofs, building and roads, the algorithm tries to generate rectangular objects by merging and cutting operations in a weighted Region Adjacency Graph. Objects whose union generate larger regular objects are merged or otherwise cut. In order to verify the potential of the method, two experimental results using Quickbird images are presented.
Collapse Button Related Ontology Subjects/Areas/Topics (14)
Artificial Intelligence

Feature Extraction

Sensor Networks

Computer Vision, Visualization and Computer Graphics

Features Extraction

Signal Processing

Data Mining

Image and Video Analysis

Signal Processing, Sensors, Systems Modeling and Control

Databases and Information Systems Integration

Informatics in Control, Automation and Robotics

Soft Computing
Enterprise Information Systems

Segmentation and Grouping

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