Model transformation is defined as a central concept in model driven engineering. Identifying the transformation rules is nontrivial task, where it might be much easier for the experts to provide examples of the trans...
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Model transformation is defined as a central concept in model driven engineering. Identifying the transformation rules is nontrivial task, where it might be much easier for the experts to provide examples of the transformations rather than specifying complete and consistent rules. the examples provided by expert represent their knowledge in the domain. thus, it is much beneficial to utilize a set of examples, i.e. pairs of transformation source and target models, in order to learn transformation rules. Machine learning (ML) techniques proved their ability of learning relations and concepts in various domains. In this paper, we aim to apply inductivelogicprogramming (ilp) for learning the transformation rules between the requirements analysis and software design based on a set of pairs of transformation analysis and design models. ALEPH and GilpS systems have been employed, individually, to induce the intended transformation rules; however the resultant rules don't accommodate the desire transformations. thus, in this paper we focus on identifying the problem of analysis-design transformation and discussing the derived rules as well as the limitations of the current ilp systems.
Model transformation is defined as a central concept in model driven *** the transformation rules is nontrivial task,where it might be much easier for the experts to provide examples of the transformations rather than...
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Model transformation is defined as a central concept in model driven *** the transformation rules is nontrivial task,where it might be much easier for the experts to provide examples of the transformations rather than specifying complete and consistent *** examples provided by expert represent their knowledge in the ***,it is much beneficial to utilize a set of examples,*** of transformation source and target models,in order to learn transformation *** learning(ML) techniques proved their ability of learning relations and concepts in various *** this paper,we aim to apply inductivelogicprogramming(ilp) for learning the transformation rules between the requirements analysis and software design based on a set of pairs of transformation analysis and design *** and GilpS systems have been employed,individually,to induce the intended transformation rules;however the resultant rules don't accommodate the desire ***,in this paper we focus on identifying the problem of analysis-design transformation and discussing the derived rules as well as the limitations of the current ilp systems.
Autonomy in robotic surgery will significantly improve the quality of interventions in terms of safety and recovery time for the patient, and reduce fatigue of surgeons and hospital costs. A key requirement for such a...
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the current trend of maximum reduction of the power consumption of electronic devices, motivated by limited battery voltage and long-life operation requirement, leads to a low power, low voltage technology. However, t...
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the current trend of maximum reduction of the power consumption of electronic devices, motivated by limited battery voltage and long-life operation requirement, leads to a low power, low voltage technology. However, there are still many blocks that cannot work or do not work “satisfactorily” at low voltages. As an alternative to conventional DC/DC converters are used Charge Pumps. Charge Pumps have particularly small size, easy integrability and higher working frequency than conventional DC/DC converters. that is why the Charge Pumps are now integral parts of integrated circuits that contain blocks requiring the voltages in the extent of up to tens of volts. the integration of Charge Pumps directly into the system allows manufacturers to feed a complex system with many specific power requirements from a single source. Charge Pump efficiency is reduced by threshold voltage, stray capacitance, the time constant affected by channel resistance, etc. this paper is concentrated on comparison of some various architectures of negative Charge Pumps with new design. So output voltage, rise time, number of transistors and other parameters various architectures of negative Charge Pumps are compared by simulation executed by Mentor Graphics.
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