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This article approaches the improvement of the software development processes specified with the Software Process Engineering Metamodel version 2 (SPEM). The work consists of transforming the SPEM specification of the SmallRUP development methodology to be used as an input of a Standard Workflow Engine. For this purpose, a transformation was used defined in Relations language, which is part of the...
This paper documents the design of a tool to create protocol adaptors. With the current emphasis in software engineering on using common off the shelf components, there are increasing interface mismatches. In addition to this, there is constant pressure to speed up the development process. And as the prevalence of distributed applications raises we are seeing an increase in the passing of messages...
Authors propose a robust ontology based multidimensional data warehousing and mining approach to address the issues of organizing, reporting and documenting diabetes cases including causalities. Data mining procedures, in which map and data views depicting similarity and comparison of attributes extracted from warehouses, are used in the present studies, for understanding the ailments based on gender,...
Analysis of social data is at the core of social studies and an important application area of data mining and knowledge discovery. One aspect of such social data analysis is based on demographic and/or economic data. In this paper, we apply data mining techniques to find the characteristics of people living in the south of USA. The data used in our study is the WAGE2 data set with 935 observations...
Knowledge about the seasonal rainfall for some regions of Brazil is essential, due to the dependency of agriculture and for a correct management of water resources. For this, linear and nonlinear models are commonly used for seasonal rainfall prediction, some of them are based on Artificial Neural Networks, which have proved to have a great potential for this purpose. Following this idea, this work...
Authors propose robust data warehousing and mining approach supported by ontology that can integrate data attributes of associative-fractures of multiple (dimensions) horizons from different types (of different geological and production regimes) of wells and fields, periodically (longitudinal dimension) and geographically (distantly, lateral dimension) located within a producing basin and or extended...
Modern mathematical models for simulation of various systems are becoming increasingly complex and intricate. Since no one model can simulate every aspect of a system, the need for these models to be broken into their component parts is imperative for accuracy and maintainability. However, no model can operate alone without data from an outside source, and so further efforts in the Model Interoperability...
In nature, complex systems grow out of a simple start (often a single cell). This growing process is environment-dependent: a cell receives signals from its surroundings, which significantly influence its activities. This results in a mature organism that is adapted to a complex environment in spite of the initial simplicity. This paper discusses a logistic execution system in which the self-organizing...
Smart grids and the semantic web are two recent paradigms that come hand in hand. On the one side, the evolution of current power networks demands dealing with big amounts of data that must be processed to gain valuable information. On the other, semantic web technologies that directly address this data enrichment and knowledge extraction. Further, smart grids will be formed of a galaxy of intelligent...
The smart grid revolution demands a huge effort redesigning and enhancing current power networks, as well as integrating emerging scenarios such as distributed generation, renewable energies and the electric vehicle. This novel scenario will present a huge flood of data that can be only handled, processed, and exploited with the help of cutting-edge ICT technologies. We present here the ENERGOS project...
According to the Electric Power Research Institute (EPRI) a common semantics model is necessary for achieving interoperability in the Smart Grid vision. In this paper, we present an outline of two influential International Electrotech-nical Commission Standards (CIM and IEC 61850) for building a common semantic model in a Smart Grid vision. In addition, we revise two representative approaches suggested...
Smart Grid can be thought as integrating the electrical and information technologies in between any point of generation and any point of consumption of the grid. This is a challenging context for the software-intensive systems of the grid, since interoperability among them become a fundamental issue to communicate and interchange data (syntactic interoperability). More than supporting just communication...
Given the challenges posed by the smart grid paradigm, we propose hereby a distributed intelligent ICT architecture, which is built upon a basic brick named PGDIN (Power Grid Distributed Inteligence Node) integrating a DDS middleware, an ESP/CEP engine, a distributed cache, and an OWL unified model for power standards. A case study dealing with substation monitor and control is also introduced.
This paper describes a reengineering solution for a Smart House controllers system using model-based development approach, emphasizing automatic code generation. Starting with the analysis of an existing system, based on a network of controllers, named as Tiny-Domots, the behavioral models associated with each controller was built using state diagrams as primary modeling formalism. A set of rules...
This paper presents a micro-architectural feature in a processor's datapath to support the C language's runtime environment. A hardware accelerator for C function calls was embedded in a processor core and its impact on area and performance was evaluated. Results show that the accelerator offers a performance improvement in several different processor configurations. The performance gain depends on...
Industrial systems monitor and control is, in the majority of the cases, implemented using real-time acquisition systems. Since the real-world is analog, there is a growing demand for faster, high resolution, real-time and reliable acquisition systems at very low cost. This paper presents an embedded system designed to tackle the previously listed requirements, thus being able to be used in most of...
Model Based Development within the area of embedded systems hardware-software co-design has been demonstrated to be effective to handle system complexity. Several modeling formalisms are widely used within this area. The work presented in this paper aims to contribute for the usage of Petri nets as the system-level specification language within model-based development of embedded systems using co-design...
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