Identifying Outliers in Fuzzy Time Series

Time series analysis is often associated with the discovery of patterns and prediction of features. Forecasting accuracy can be improved by removing identified outliers in the data set using the Cook’s distance and Studentized residual test. In this paper a modified fuzzy time series method is proposed based on transition probability vector membership function. It is experimentally shown that the proposed method minimizes the average forecasting error compared with other known existing methods

An Investigation on Strength Development of Cement with Cenosphere and Silica Fume as Pozzolanic Replacement

In the detailed study presented in this paper, an attempt was made to study the strength of cement when cenosphere (CS) and silica fume (SF) were used as replacement. Tests were carried out on mix with cenosphere as replacement for cement which has 12% of constant replacement of silica fume to the mass of cement, and this is made to stabilize the strength which was lost due to addition of cenosphere. From the test results, it was concluded that the strength loss of binder due to replacement of cenosphere can be stabilized by silica fume and still a safe value of strength can be achieved. Furthermore, the strength reduction is due to the consumption of hydration products and cloggy microstructure as observed in this study

Markov Model for Acute Hypertension Analysis

ABSTRACT Accurate determination of usual or average blood pressure (BP) is necessary for the assessment of risk for stroke and coronary heart disease. In this study, we provide a statistically based guide for using results of blood pressure monitoring to resolve this issue. We collected blood pressure samples from 900 people for evaluation of borderline or stage I hypertension. A Markov model is used for calculate the probability that a patient's blood pressure falls within the hypertensive range (>140/90 mm Hg). From the analysis of the results, there is a 15% probability that the patient's "true" average blood pressure is actually in the hypertensive range. This approach may be useful for clinical decision making and also for the design of clinical trials

An analysis of the stochastic behaviour for shift conversion system

This paper deals with the analysis of the stochastic behaviour and maintenance planning of shift conversion system with four subsystems A, B, C, D with possible states good and failure. Kumar and Pandey have discussed the process design for crystallisation system along with the maintenance planning and resource allocation. Subsequently, Kumar et al. have discussed about the steady state behaviour, maintenance planning along with the probabilistic analysis of desulphurisation system. Based on the Markov graph, differential equations are derived and the shift conversion system is analysed. The steady states of repair in each subsystem are obtained for the improvement in the process design which results to minimum failure. [Received on 11 January 2007; Revised 26 April 2007; Accepted 24 July 2007]shift conversion; failure rate; repair rate; Markov graph; availability; desulphurisation system; stochastic behaviour; maintenance planning.

Activity-aware prediction of Critical Paths Aging in FDSOI technologies

International audienceModern CMOS technologies such as FDSOI are affected by severe aging effects that do not only depend on physical issues related to nanoscale technologies, but also on the circuit environment and its run-time activity. Therefore it is extremely difficult to reliably establish a-priori guard bands for Critical Path estimations, usually leading to both large delay penalties (and therefore loss of performances) or too short operating lifetime. In this paper, we propose an approach that uses Machine Learning techniques to obtain reliable predictions of the aging of the Near Critical Paths. Starting from a limited set of measurements and simulation data, our framework is able to accurately estimate Critical Path delay degradation in time depending on physical parameters, environment conditions and circuit activity. Further to that, the corresponding regression models are applied to obtain dynamic aging-aware Operating Performance Point selection strategies

Cohomology of line bundles on Schubert varieties - I

The aim of this paper is to begin a study of the cohomology modules H<SUP>i</SUP>(X(w),L<SUP>λ</SUP>) for non-dominant weights λ on Schubert varieties X(w) in G/B. The aim is to setup a combinatorial dictionary for describing the cohomology modules and give criteria for their vanishing. Here L<SUP>λ</SUP> denotes the line bundle on X(w) corresponding to the 1-dimensional representation of B given by the character Λ