Dua A.,Kurukshetra University |
Gaurav G.,JMIT |
Balkar S.,P.A. College |
Mahajan R.,Kurukshetra University
International Journal of Research in Ayurveda and Pharmacy | Year: 2013
Antimicrobial properties of methanolic extract of cumin (Cuminum cyminum) seeds on four enteropathogenic and food-spoiler bacterial strains have been investigated. The cumin extract has been found to be effective against both gram positive and gram negative bacteria. Increase in absorbance between 260-280 nm indicates that incubation of bacterial cultures with cumin extract causes damage to their cell membranes and release of intracellular nucleotides and proteinaceous materials from the cells. The growth inhibition zones observed by agar well diffusion method were 10.7 to 14.0 mm in diameter in presence of cumin extract. Minimum concentrations of cumin extract effective against E,coli, P.aeruginosa, S.aureus and B.pumilus were found to be 12.5, 6.25, 25.0 and 6.25 mg dry weight per ml respectively. © 2010 IJRAP.
Kaur A.,JMIT |
Kumar P.,Thapar University
ICNIT 2010 - 2010 International Conference on Networking and Information Technology | Year: 2010
The objective of the paper is to show the effect of noise on the performance of various clustering Techniques. Clustering is being widely used in many application including medical, finance and etc. Clustering may be applied on database using various approaches, based upon distance, density, hierarchy, and partition. The data item which is not relevant to data mining is called noise (e.g. out of bound and etc). Noise is major problem in cluster analysis, which degrades the performance of various clustering techniques in the term of time and space. Our purpose is to study how a particular clustering technique is responsive to the noise in the terms of time. We have used clustering techniques based upon the partitioned or non-hierarchical clustering, which forms the clusters in one step as opposed to several steps. We will introduce noise in the experimental database and the same will be used for clustering algorithm. Then the percentage of noise will be varied and the time required for clustering will be calculated. The observation so obtained will be used for analysis purpose. After that we will compare and analysis the performance of the clustering techniques based on the time required. Then we will conclude which algorithm is more realistic to noise. © 2010 IEEE.
IET Conference Publications | Year: 2013
In this paper, the Prony's signal modeling approach is used to design fractional delay (FD) infinite impulse response (IIR) filters. This approach utilizes the least mean square error technique in indirect way to model the FD finite impulse response (FIR) filters into the lower order FD IIR filters. This modeling approach is the combination of direct least square method and the Pade's signal modeling method. Further, the design examples are also considered to observe the effectiveness of proposed FD IIR filters. In last, the stability of designed FD IIR filters is confirmed by showing the locations of poles in pole-zero plots.
Bawa R.K.,Punjabi University |
Communications in Computer and Information Science | Year: 2011
Over the last few decades the development of Internet and Grid technology has rapidly increased in the number of resources to which a user, program, or community may have access. When a large number of resources are available which fulfills the minimum criteria imposed by the user then the burden goes onto the user to select the best resource. Also a wrong resource selection imposes the overhead and cost burden on the user. So, an efficient and reliable resource selection is required which overcomes the burden of the user and selects the best resource. In this paper we proposed a two phase approach for efficient resource selection. The aim of this paper is to identify the most available, reliable and fastest resources for running an application. In this context, we introduced an approach for resource selection that maximizes the quality, reliability, and efficiency of resources and minimizes the other overhead. © 2011 Springer-Verlag.
Kaushik A.,Panjab University |
Journal of Reinforced Plastics and Composites | Year: 2010
The epoxy-colloidal silica nanocomposites were prepared by directly blending a two pack system of Araldite (CY-230) and hardener (HY-951) with colloidal silica. As the colloidal silica powder was considerably fine, the weight percent was kept quite low. The silica content was varied from 1% to 3% by weight of the total matrix. These composites were then characterized for morphology using scanning electron microscopy (SEM), thermogravimetric analysis (TGA), and absorption kinetics in various solvents including distilled water, ethanol, acetone, carbon tetrachloride, and methylethylketone. Absorption kinetics was studied at two temperatures, that is, 30°C and 50°C. The SEM micrographs indicated the uniform distribution at lower concentrations, that is, up to 2% of colloidal silica. TGA results show improved thermal stability and increase in ash content with increase in silica content. Swelling kinetics shows that for most of the solvents the nature of diffusion is non-Fickian and as the silica content increases, deviation from Fickian behavior increases. Moreover, diffusivity decreases with increase in silica content but increases with temperature. Sorption values increases with silica content and also increase with temperature. Various reasons for deviation from Fickian behavior were studied. © 2010 The Author(s).