The target of the subtopic mining subtask of NTCIR-10 Intent-2 Task is to return a ranked list of subtopics. To this end, this paper proposes a method to apply the rough set theory for redundancy reduction in subtopic mined from webpages. Besides, semantic similarity is used for subtopic relevance measure in the re-ranking process, computed with semantic features extracted by NLP tools and sema...

1 Department of IT, SRM University, Chennai, India 2 Department of IT, SRM University, Chennai, India [email protected],[email protected] ___________________________________________________________________________________________________________________ Abstract: Automated question answering (QA) still faces challenges such as processing and deep understanding of complex ques...

An approach to modeling of a 6/4 type switched reluctance motor (SRM) is described in the paper. The modeling procedure is based on the reluctance network method and analytical solution of an ordinary differential equation. It allows for estimation of the torque, efficiency and acoustic noise of the motor taking into account the magnetic non-linearity and the control algorithm to keep a constan...

This paper studies two important questions related with switched reluctance machines: 1. In what conditions we can consider to use the SRM linear model but with sufficient accuracy to predict its steady-state characteristics? 2. To take or not to take into account the mutual inductances in the 6/4 SR non-linear model? Are there any significant errors when we neglect the phase mutual inductances...

Abstract: In this paper, rotor speed and position of a Switched Reluctance Motor (SRM) are controlled using an intelligent control algorithm. The controller is working based on a PID signal while its gain is permanently tuned by means of an Emotional Learning Algorithm to achieve a better control performance. Here, nonlinear characteristic of SRM is identified using an efficient training algori...

Storage Resource Managers (SRMs) are middleware components whose function is to provide dynamic space allocation and file management on shared storage components on the Grid[1,2]. SRMs support protocol negotiation and reliable replication mechanism. The SRM standard supports independent SRM implementations, allowing for a uniform access to heterogeneous storage elements. SRMs allow site-specifi...

We explore the problem of retrieving semi-structured documents from a realworld collection using a structured query. We formally develop Structured Relevance Models (SRM), a retrieval model that is based on the idea that plausible values for a given field could be inferred from the context provided by the other fields in the record. We then carry out a set of experiments using a snapshot of the...

We consider learning convergence in Spiking Neural Networks trained according to the ReSuMe learning rule. We begin with a short introduction of the ReSuMe learning rules and we define the learning scenarios to be considered. Next, we present a formal proof of learning convergence for the Spike Response Model (SRM) trained according to the defined scenarios. Finally, we demonstrate that the pro...