Abstract:
293 aerobic bacterial pathogens were isolated from various clinical samples. All the isolates were subjected to Gram stain (GS), potassium hydroxide (KOH) string test, and Vancomycin susceptibility test. All Gram negative bacilli i.e. 100%, showed resistance to Vancomycin and KOH string test positivity (p=0.000). 97.8% of gram positive bacteria were sensitive to Vancomycin and 100% were KOH string test negative (p=0.000). As KOH string test and Vancomycin tests are simple and inexpensive, these can be used in addition to Gram staining, for rapid identification of bacterial isolates.

Abstract:
Curvelet transform is the new member of the evolving family of multiscale geometric transforms. It offers an effective solution to the problems associated with image denoising using wavelets. Finger prints possess the unique properties of distinctiveness and persistence. However, their image contrast is poor due to mixing of complex type of noise. In this paper an attempt has been made to present the results of denoising of such images using both wavelet and curvelet transforms. The results obtained demonstrate that the curvelet transform based reconstructions are visually sharper than the wavelet reconstructions. The recovery of edges and of the faint linear and curvilinear features is of particularly superior quality. The results obtained are in accordance with the expected predictions of the existing theory of curvelet transforms.

Abstract:
It is well known that the rampant increase for the demand of electricity and rapid depletion of the fossil fuels has called for immediate response in the direction of energy sufficiency. To accomplish this, one of the important tasks is to identify the locations of high potential for renewable energy generation. It is a well-established fact that solar energy proved to be the most sought after source for energy generation. Although, solar energy potential maps of India have been prepared based on solar irradiation maps in the earlier studies, the present research study has been carried out with a focused attention directly on solar energy generation considering various parameters. In this work it is shown that solar energy generation does not depend on solar radiation alone at a location. Instead, there are various other factors that influence the energy generation. Some of them are ambient temperature, wind velocity and other parameters like weather and topographic conditions. In this study the locations with high and low solar energy generation potential in India have been identified through systematic analysis by computing the solar energy parameters at every grid point (1° × 1°). The work has been extended with more detailed study for Gujarat, Andhra Pradesh and the newly formed Telangana states. The data points considered for the states are 0.25° × 0.25° having resulted in adding more number of locations. Our results indicate that the total annual energy generation in India varies from 510,000 KWH to 800,000 KWH per acre of land. The least energy generation location pertains to the eastern parts of Arunachal Pradesh and eastern part of Assam and the highest annual solar energy generation has been identified in the eastern parts of Jammu & Kashmir and eastern part of Uttarakhand.

Abstract:
Li2Pd3B is known to be superconducting, while the isotypical Li2Pt3B compound is not. Electronic structures of Li2Pd3B and Li2Pt3B have been calculated in order to obtain an insight into this surprising difference, through an analysis of the differences in the band structures. The electronic structures of these systems were obtained using the Full Potential Linear Augmented Plane Wave plus local orbitals (FP-LAPW+lo) method and it was found that four bands cross the Fermi level (EF). Out of these four bands, only two bands contribute significantly to the density of states at the EF. One of these bands is a hole band and the other an electron band. Thus at least a two-band model is required for studying the electronic properties of the Pd and Pt compounds. These two bands are rather narrow and hence the coulombic correlations effects can be significant.

Abstract:
This paper deals with the optimal location and parameters of Unified Power Flow Controllers (UPFCs) in electrical power systems, using particle swarm optimization (PSO). The objective is to maximize the transmission system loadability subject to the transmission line capacity limits and specified bus voltage levels. Using the proposed method, the location of UPFCs and their parameters are optimized simultaneously. PSO is used to solve the above non-linear programming problem for better accuracy. The proposed approach is examined and tested on IEEE 30-bus system and IEEE 118-bus system. The results obtained are quite promising for the power system operation environment

Abstract:
Researchers often need to find expertise in their chosen areaof research. Finding expertise is very useful as relevantresearch papers can be studied and the experts could beidentified. Therefore finding expertise in the chosen area ofresearch has always attracted interest among academiccommunity. These days research institutions and individualresearchers make their publications and research findingsavailable on web. With the exclusive growth of World WideWeb search engine users are overwhelmed by the hugevolume of results returned in response to a simple query,which is far too large to get the desired knowledge.Therefore one of the methods of finding the expertise is byway of efficiently and accurately clustering the webdocuments, which enhances the integrity of web searchengine. Data mining techniques matured making it possibleto automate the web document clustering. In this paper, wepresent mutually exclusive Maximal Frequent Item setdiscovery based K- Means clustering approach. It has beenimplemented in JAVA. The common text processingapproach is to convert the downloaded web documents intovectors. It is being done by extracting document features andit generates the document-feature data set. For a set ofdocuments, the feature set is composed of all termsappearing in any one of the documents. We call this adocument-feature data set. If document m contains feature n,then the corresponding value, in row n and column m of thetable, is set to one. Otherwise, it is zero. Then, Apriorialgorithm is applied to these document feature data set. Themutually exclusive frequent sets generated by Apriorialgorithm are taken as initial points of K-Means algorithm.The output of the K-Means clustering algorithm will be thesets of highly related documents appearing together withsame features. This approach enables the clustering of theweb documents. It enables researchers to find the documentsrelated to their desired area clustered and displayedtogether during the web search. It will significantly helpthem in terms of saving the time and getting all the relevantpapers together in a cluster..

Abstract:
In this paper, we consider the weight $i$ de Rham--Gauss--Manin bundles on a smooth variety arising from a smooth projective morphism $f:X\_U\lrar U$ for $i\geq 0$. We associate to each weight $i$ de Rham bundle, a certain parabolic bundle on $S$ and consider their parabolic Chern characters in the rational Chow groups, for a good compactification $S$ of $U$. We show the triviality of the alternating sum of these parabolic bundles in the (positive degree) rational Chow groups. This removes the hypothesis of semistable reduction in the original result of this kind due to Esnault and Viehweg.

Abstract:
In this paper, we prove a generalization of Reznikov's theorem which says that the Chern-Simons classes and in particular the Deligne Chern classes (in degrees $>1$) are torsion, of a flat bundle on a smooth complex projective variety. We consider the case of a smooth quasi--projective variety with an irreducible smooth divisor at infinity. We define the Chern-Simons classes of Deligne's canonical extension of a flat vector bundle with unipotent monodromy at infinity, which lift the Deligne Chern classes and prove that these classes are torsion.

Abstract:
In this paper, we obtain an explicit formula for the Chern character of a locally abelian parabolic bundle in terms of its constituent bundles. Several features and variants of parabolic structures are discussed. Parabolic bundles arising from logarithmic connections form an important class of examples. As an application, we consider the situation when the local monodromies are semi-simple and are of finite order at infinity. In this case the parabolic Chern classes of the associated locally abelian parabolic bundle are deduced to be zero in the rational Deligne cohomology in degrees $\geq 2$.

Abstract:
Differential phases open a new parameter in polarimetric weather radar data analysis. In polarimetric S-matrices measured at the linear polarisation bases (vertical and horizontal) there exist basically three differential phases namely the differential propagation phase and two co-to-crosspolar phases. In this paper we shall investigate the statistics of differential propagation phase and co-to-crosspolar phases in weather radar data recorded with the C-band weather radar of DLR, Wessling.