Scenarios have proven useful to elicit, validate and document requirements but cannot be used in isolation. Our concern in this paper is to integrate scenario-based techniques in existing methods. We propose a set of operators to support such an integration. This set is classified in two sub-sets: the one dealing with the integration of the product models of the two initial methods and the one ...

Nowadays standard technologies play important roles in enhancing sharability, reusability and interoperability of learning contents. However, there is a lack of pedagogical justification of the contents implemented with the standards. This paper discusses the standard-compliance of our ontology-based modeling framework and how the framework gives theoretical justification to standardcompliant l...

This paper describes research into the application of evolutionary algorithms for generating failure scenarios for bulk power systems. We focus on a modified Ward Hale 6 bus system. An evolutionary algorithm is presented in detail. The developed EA proves to perform well on the test system and successfully generates a ‘compact’ failure scenario, requiring delibrate outaging of only two out of s...

The performability of a system is usually evaluated as the mean of a performance measure, aggregated over all failure scenarios (both tolerated and not) through a Markov reward process. This metric can gloss over performance deficiencies in important portions of the failure scenario space, and is also expensive to compute because the number of possible failure scenarios can be very large. We ar...

Chronic heart failure is a severe clinical syndrome among the most remarkable for prevalence and morbidity in the developed western countries. The European STREP project HEARTFAID aims at realizing an innovative platform of services which will improve the processes of diagnosis, prognosis and therapy provision in the heart failure domain. The core of the platform intelligence is a Clinical Deci...

In the present work, a data-driven fuzzy similarity approach is proposed to assist the operators in fault diagnosis tasks. The approach allows: i) prediction of the Recovery Time (RT), i.e., the time remaining until the system can no longer perform its function in an irreversible manner, ii) Fault Diagnosis (FD), i.e., the identification of the component faults and iii) estimation of the system...

due to the nature of the sediment data, selection of appropriate methods for processing the data before entering them to the artificial intelligence models can enhance the reliability of simulations results. in this study, the effects of sediment data processing procedures on ann and anfis models outputs in 7 dez basin stations were evaluated. accordingly, three scenarios were considered: in th...

China’s role on the global grain market is expected to increase as the demand for food and feed grows, both within and outside the country. This role could also be affected by unexpected crop failures caused by natural hazards. This paper uses agricultural production (rice, wheat, maize, tubers, soybeans and other grains) and natural hazards data (floods and droughts) for 31 provinces in China ...

The aim of this paper is to utilize Bayesian Networks scenario-building method to create a framework for analyzing the future of Iran’s energy industry. This framework helps to develop more resilient conservation policies when faced with uncontrollable, irreducible uncertainty by the ability to prediction and diagnose scenarios. Also this paper aims to quantify the scenarios as well as explaini...