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Showing papers by "National Institute of Technology, Meghalaya published in 2012"


Proceedings ArticleDOI
25 Jun 2012
TL;DR: How the security architecture of LTE deals with identity privacy is discussed and a possible solution that may be utilised to overcome the problem of user identity privacy in LTE is discussed.
Abstract: Identity privacy is a security issue that is crucial for the users of a cellular network. Knowledge of the permanent identity of a user may allow an adversary to track and amass comprehensive profiles about individuals. Such profiling may expose an individual to various kind of unanticipated risks, and above all may deprive an individual of his right to privacy. With the introduction of sensitive services like online banking, shopping, etc. through cellular phones, identity privacy has now become a bigger security issue. In GSM and UMTS, the problem of user identity privacy vulnerability is proven to exist. In both these systems, there are situations where the permanent identity of a subscriber may get compromised. Long Term Evolution (LTE), which evolved from GSM and UMTS, is proposed by 3GPP for inclusion into the fourth generation of cellular networks. Although security of LTE has evolved from the security of GSM and UMTS, due to different architectural and business requirements of fourth generation systems, LTE security is substantially different and improved compared to its predecessors. However, the issue of identity privacy vulnerability continue to exist in LTE. In this paper, we discuss how the security architecture of LTE deals with identity privacy. We also discuss a possible solution that may be utilised to overcome the problem of user identity privacy in LTE.

50 citations


Book ChapterDOI
27 Oct 2012
TL;DR: It is shown that, at least on the authors' case study task, unsupervised fuzzy clustering of the unlabeled examples helps in obtaining the hard clusters, and the membership values obtained with fuzzy clusters are used as additional features for hard clustering.
Abstract: We consider the task of semi-supervised classification: extending category labels from a small dataset of labeled examples to a much larger set. We show that, at least on our case study task, unsupervised fuzzy clustering of the unlabeled examples helps in obtaining the hard clusters. Namely, we used the membership values obtained with fuzzy clustering as additional features for hard clustering. We also used these membership values to reduce the confusion set for the hard clustering. As a case study, we use applied the proposed method to the task of constructing a large emotion lexicon by extending the emotion labels from the WordNet Affect lexicon using various features of words. Some of the features were extracted from the emotional statements of the freely available ISEAR dataset; other features were WordNet distance and the similarity measured via the polarity scores in the SenticNet resource. The proposed method classified words by emotion labels with high accuracy.

33 citations


Proceedings ArticleDOI
01 Dec 2012
TL;DR: In this paper, the automatic generation control of an interconnected two area thermal system with appropriate generation rate constraints is considered in the areas of performance of several classical controllers such as Integral (I), Proportional plus Integral plus PI (PI), Integral and Double Derivative (IDD) controllers.
Abstract: This paper deals with automatic generation control of an interconnected two area thermal system Appropriate generation rate constraints are considered in the areas Performances of several Classical controllers like Integral (I), Proportional plus Integral (PI), Proportional plus Integral plus Derivative (PID), Integral plus Double Derivative (IDD) are compared with newly introduced Classical Controller in AGC named as Proportional plus Integral plus Double Derivative (PIDD) controller Investigation reveals that PIDD controller gives better dynamics than the other Controller Further, selection of suitable value of governor speed regulation parameter (R) has been examined in presence of PIDD controller Moreover, Area Capacity effect on the system dynamic responses has been studied for the first time in AGC using PIDD Controller System dynamic responses are examined with 1% step load perturbation in area 1

10 citations


Proceedings ArticleDOI
01 Dec 2012
TL;DR: Investigation reveals that bacterial foraging algorithm for optimization of gains and other parameters such as order of integrator (λ) and differentiator (μ) in case of I-λ-D-μ controller provides better performance than the IO controllers in terms of settling time, reduced oscillations and peak overshoots.
Abstract: In this paper a maiden attempt has been made to examine and investigates the effect of bacterial foraging (BF) optimized fractional order integral and derivative (FOID or IλDμ) controller in automatic generation control (AGC) of a multi-area thermal system considering single stage of reheat turbine and appropriate generation rate constraint (GRC) The performances of several classical integer-order (IO) controllers such as I, PI and PID controllers is evaluated and compared with IλDμ controller to assess the best controller Investigation reveals that IλDμ controller provides better performance than the IO controllers in terms of settling time, reduced oscillations and peak overshoots This paper employs bacterial foraging algorithm for optimization of gains and other parameters such as order of integrator (λ) and differentiator (μ) in case of IλDμ controller Further, sensitivity analysis is carried out for the first time in the system considered to investigate the robustness of the optimum gains, λ and μ of IλDμ controllers obtained at nominal condition

1 citations