Current Issue : July - September Volume : 2012 Issue Number : 3 Articles : 6 Articles
The key success of a business process is the ability to manage between processes within an enterprise and\r\nbetween enterprises. To remain competitive, enterprises must become increasingly agile and integrated across their\r\nfunctions. Activity ontology plays a critical role in this integration, enabling better designs for enterprises, analysis of\r\ntheir performance, and management of their operations. The goal of this paper is to create an activity ontology for\r\nwater production processes that has the ability to deduce answers to queries that require relatively shallow knowledge\r\nof the domain. This activity ontology will provide a sharable representation of knowledge that minimizes ambiguity and\r\nmaximizes understanding of the production activities. This kind of representation is of importance because it will be\r\nable to provide sophisticated support to automated decision making; it does not only answer queries with what are\r\nexplicitly represented in the Knowledge Base, but also answer queries to what is implied in the Knowledge Base. The\r\nproject was implemented using Prolog, a logic programming language and it was tested by posing a set of competency\r\nquestions....
Cone Beam Computed Tomography produces distortion-free and accurate images of the craniofacial anatomy,\r\nand can be considered as a useful instrument to perform a correct diagnosis and treatment using a cephalometric\r\nanalysis. Now a days the 3D cephalometric analysis are made by adapting on 3D what was born on 2D, so it can be\r\nnecessary to find a new technique that was born directly on 3D.\r\n\r\nSixty-five Ricketts� first skeletal classes were chosen in an archive of 700 CBCT acquisitions. 3 easily repeatable\r\nreference planes were found on each case and then 15 points were selected on the skull, for a total of 18 cephalometric\r\npoints. Each point of these 65 patients creates a cloud of points that could represent the range of normality in the 3D\r\nspace. The coordinates of each analyzed point presented a standard deviation between 0, 00 and 5, 64. This range\r\nof values may be considered representative for the first skeletal class.\r\n\r\nAuthors agree that further studies are needed but the Direct 3D cephalometric analysis may be considered a new\r\neasy, precise and rapid way to reach a correct diagnosis and treatment with a cephalometric analysis born directly\r\non 3D....
A pervasive computing system (PCS) requires that devices be context aware in order to provide proactively adapted services\r\naccording to the current context. Because of the highly dynamic environment of a PCS, the service adaptation task must be\r\nperformed during device operation. Most of the proposed approaches do not deal with the problem in depth, because they are\r\neither not really context aware or the problem itself is not thought to be dynamic. Devices in a PCS are generally hand-held, that\r\nis, they have limited resources, and so, in the effort to make them more reliable, the service adaptation must take into account this\r\nconstraint. In this paper, we propose a dynamic service adaptation approach for a device operating in a PCS that is both context\r\naware and limited resources aware. The approach is then modeled using colored Petri Nets and simulated using the CPN Tools, an\r\nimportant step toward its validation....
UML/OCL class diagrams provide high-level descriptions of software systems. Currently, UML/OCL class diagrams are highly used\r\nfor code generation through several transformations in order to save time and effort of software developers. Therefore, verification\r\nof these class diagrams is essential in order to generate accurate transformations. Verification of UML/OCL class diagrams is a\r\nquite challenging task when the input is large (i.e., a complex UML/OCL class diagram). In this paper, we present (1) a benchmark\r\nfor UML/OCL verification and validation tools, (2) an evaluation and analysis of tools available for verification and validation of\r\nUML/OCL class diagrams including the range of UML support for each tool, (3) the problems with efficiency of the verification\r\nprocess for UML/OCL class diagrams, and (4) solution for efficient verification of complex class diagrams....
Agent-systems can bring important benefits especially in applications scenarios where highly distributed, autonomous,\r\nintelligence, self-organizing, and robust systems are required. Furthermore, the high levels of autonomy and self-organizations\r\nof agent systems provide excellent support for developments of systems in which dependability is essential. Both Ubiquitous\r\nComputing and Ambient Intelligence scenarios belong in this category. Unfortunately, the lack of appropriate security\r\nmechanisms, both their enforcement and usability, is hindering the application of this paradigm in real-world applications.\r\nSecurity issues play an important role in the development of multiagent systems and are considered to be one of the main issues to\r\nsolve before agent technology is ready to be widely used outside the research community. In this paper, we present a software based\r\nsolution for the protection of multiagent systems concentrating on the cooperative agents model and the protected computing\r\napproach....
Due to feedback connections, recurrent neural networks (RNNs) are dynamic models. RNNs can provide more\r\ncompact structure for approximating dynamic systems compared to feedforward neural networks (FNNs). For some\r\nRNN models such as the Hopfield model and the Boltzmann machine, the fixed-point property of the dynamic systems\r\ncan be used for optimization and associative memory. The Hopfield model is the most important RNN model, and\r\nthe Boltzmann machine as well as some other stochastic dynamic models are proposed as its generalization. These\r\nmodels are especially useful for dealing with combinatorial optimization problems (COPs), which are notorious NP-\r\ncomplete problems. In this paper, we provide a state-of-the-art introduction to these RNN models, their learning\r\nalgorithms as well as their analog implementations. Associative memory, COPs, simulated annealing (SA), chaotic\r\nneural networks and multilevel Hopfield models are also important topics treated in this paper....
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