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Coimbatore, India

Rajakumar C.,CIET | Shankar Kumar K.R.,REC
Journal of Theoretical and Applied Information Technology | Year: 2014

PCA and FLDA are mainly used in face recognition and feature extraction. PCA uses eigen vector and FLDA uses within class scatter matrix and between class scatter matrix. When within class matrix becomes singular, it cannot be evaluated. A new method called semi-discrete decomposition is used in single image per person problems. The performance of this method is tested on 4-data bases, namely ORL, UMIST, Poly u-NIR, YALE. The proposed method performs better than SVD based approach and QRCP based approach in terms of recognition rate with training times in two times higher than QRCP. © 2005 - 2014 JATIT & LLS. All rights reserved. Source

Ervik T.,Norwegian University of Science and Technology | Stokkan G.,Sintef | Buonassisi T.,Massachusetts Institute of Technology | Mjos O.,REC | Lohne O.,Norwegian University of Science and Technology
Acta Materialia | Year: 2014

An investigation of two industrially cast quasi-monocrystalline silicon blocks revealed a high dislocation density originating at intersections between the seed crystals. This may be ascribed to three different generation mechanisms. Firstly, a dislocation cell structure was observed in the seed crystals, probably as an effect of poor surface preparation of the seeds. Furthermore, clusters of dislocations form around contact points in the interface between two neighbouring seeds. At contact points, the two monocrystalline silicon seeds plastically deform and sinter together. Dislocation rosettes form as a result of an indentation mechanism at high temperatures. A third mechanism acts at the bottom surface, where dislocation clusters also form by indentation of contact points between the seed and the crucible. Since dislocations forming in the seeds will continue into the growing ingot, it is crucial to depress the dislocation formation in the seeds. © 2013 Acta Materialia Inc. Published by Elsevier Ltd. All rights reserved. Source

Nikolayev A.I.,RAS Institute of Chemistry | Melnik N.A.,RAS Institute of Chemistry | Chekanova Y.V.,RAS Institute of Chemistry | Petrov V.B.,RAS Institute of Chemistry | Dmitriyev S.V.,REC
Obogashchenie Rud | Year: 2014

The issues related to decrease of sphene concentrate radioactive nuclides content in beneficiation stage are considered, the main radioactive nuclide being thorium-232. Sphene concentrate from apatite-nepheline ores mined in the Kola Peninsula is distinguished by increased concen- tration of radioactive nuclides, limiting its application in welding materials and for other purposes. The source of radioactive nuclides in concen- trate is perovskite mineral impurity. Decrease in radioactive nuclides content in beneficiation stage was traced by means of mineralogical, radio- metric and X-ray phase analyses methods. Dry electromagnetic separation and corona-type electrostatic separation application at increased temperatures permitted to decrease effective radioactivity of concentrate to acceptable level, allowed for application in welding materials. Sphene total losses at the stage of concentrate cleaning from perovskite amounted to 10.6 %. The achieved results require further optimization of electrostatic separation operations regimes. Considering feed material fine size (99 % of size fraction minus 0.2 mm), the results of dry elec- tromagnetic separation and electrostatic separation may be considered wholly satisfactory. This opens a prospect for further improvement of indices in sphene concentrate dry cleaning from radioactive nuclides, as well as commercial implementation of this technology. Source

Gupta K.,SCOPE College of Engineering, Bhopal | Khan B.,SCOPE College of Engineering, Bhopal | Mubeen S.E.,REC
2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems, SPICES 2015 | Year: 2015

In deregulated electricity market available transfer capability (ATC) are of great importance, because many generators and distributors are available for sending and receiving the power from the transmission line. Hence in this paper flexible AC transmission system (FACTS) devices are incorporated in the power system to enhance the ATC of transmission line. The third generation FACTS device such as Unified Power Flow Controller (UPFC) is used for this purpose. Also voltage source modeling of FACTS device is used to show the ATC enhancements because by this model effect of parameters variation are incorporated for each iteration. Results are shown for sample 5 bus system. © 2015 IEEE. Source

Jain M.B.,REC | Nigam M.K.,RITEE | Tiwari P.C.,M.E. Scholar in Power Electronics
Proceedings of the 2012 World Congress on Information and Communication Technologies, WICT 2012 | Year: 2012

Short term load forecasting in this paper is done by considering the sensitivity of the network load to the temperature, humidity, day type parameters (THD) and previous load and also ensuring that forecasting the load with these parameters can best be done by the Regression Line Method (RLM) and Curve Fitting Method (CFM). The analysis of the load data recognizes that the load pattern is not only dependent on temperature but also dependent on humidity and day type. A new norm has been developed using the regression line concept with inclusion of special constants which hold the effect of the history data and THD parameters on the load forecast and it is used for the STLF of the test dataset of the data set considered. A unique norm with a, b, c and d constants based on the history data has been proposed for the STLF using the concept of curve fitting technique. The algorithms implementing this forecasting technique have been programmed using MATLAB. The input data of each day average power, average temperature, average humidity and day type of the previous year are used for prediction of power, in the case of the regression line method and the forecast previous month data and the similar month data of the previous year is used for the curve fitting method. The results are also compared with the Euclidean Norm Method (ELM) which is generally used method for STLF. The simulation results show the robustness and suitability of the proposed CFM norm for the STLF as the forecasting accuracies are very good and less than 3% for almost all the day types and all the seasons. Results also indicate that the proposed curve fitting method out passes the regression technique and the standard Euclidean distance norm with respect to forecasting accuracy and hence it will provide a better technique to utilities for short term load forecasting. © 2012 IEEE. Source

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