In this paper, a novel neuro-fuzzy based method combined with a feature selection technique is proposed for online dynamic voltage stability status prediction of power system. This technique uses synchronized phasors measured by phasor measurement units (PMUs) in a wide-area measurement system. In order to minimize the number of neuro-fuzzy inputs, training time and complication of neuro-fuzzy ...

In this paper, content-based image retrieval (CBIR) for content-based image mining is proposed. Here, an approach of image detection in a image dataset and an improved histogram based approach for Correlative Histogram Features named as Correlative Histogram based Coding (CR-HBC) is proposed. The proposed approach enhances the objective of processing noise and system overhead with respect to th...

Principled game-theoretic techniques exist for solving the problem of action coordination in a group of agents, however they typically suffer from an exponential blowup of the action space when many agents are involved. Coordination graphs (Guestrin et. al., 2002) offer tractable approximations via a context-specific decomposition into smaller coordination problems, and they are based on an ite...

Risk is anything that threatens the successful achievement of a project’s goals. The fundamental principle of risk-based testing is to do more thorough testing to those parts of the software system that present the highest risk. In this fast abstract, we introduce risk-based testing and discuss applying risk analysis to select test cases for regression testing which is essential to ensure softw...

The BioNLP’09 Shared Task on Event Extraction is a challenge which concerns the detection of bio-molecular events from text. In this paper, we present a detailed account of the challenges encountered during the construction of a machine learning framework for participation in this task. We have focused our work mainly around the filtering of false positives, creating a high-precision extraction...

In this paper we discuss the current approaches in question answering (QA) and their applicability in building a conversational agent that models a historical figure that gives informative and relevant answers to user questions about the life of that personality. We analyze two main methods: one in which we use an ontology to build our knowledge base and one where we don't have a knowledge base...

In a multi-agent system, action selection is important for the cooperation and coordination among agents. As the environment is dynamic and complex, modular Q-learning, which is one of the reinforcement learning schemes, is employed in assigning a proper action to an agent in the multi-agent system. The architecture of modular Q-learning consists of learning modules and a mediator module. The m...

The well-known Darwinian evolutionary theory (1859) introduced natural selection as the most important mechanism of evolutionary processes at every level from biological systems, including species, individual organisms... to molecules such as DNA or proteins. In architecture we observe similar evolution processes which lead to the development of various architectural movements and concepts from...

Component-Based Software Engineering is concerned with the assembly of pre-existing software components that lead to software systems which respond to client specific requirements. The aim of this paper is to present a new algorithm to construct a software system by selecting based on metrics and fuzzy analysis the needed components. We evaluate our approach using a case study and comparing it ...

In case-based reasoning systems, several learning techniques may apply to a given situation. In a failuredriven learning environment, the problems of strategy selection are to choose the best set of learning algorithms or strategies that recover from a processing failure and to use the strategies to modify the system’s background knowledge so that the failure will not repeat in similar future s...