A Note on 1-Edge Balance Index Set

A graph labeling is an assignment of integers to the vertices or edges or both, subject to certain conditions. Varieties of graph labeling have been investigated by many authors [2], [3] [5] and they serve as useful models for broad range of applications

Qualitative assessment of Swarnamakshika Bhasma (Copper Pyrite) using Nambhuri Phase Spot Test

Swarnamakshika is one among Maharasa (Great minerals), on reviewing the Ayurvedic classics, it is evident that therapeutic use of Swarnamakshika (Copper Pyrite) has been in practice since samhita kala (300B C- 600 B.C) period. Swarnamakshika (Copper Pyrite) used since time immemorial in treating various diseases like pandu (Anemia), kushta (Skin ailments), prameha (Diabetes) and it is best Rasayana (Immuno-modulatory) etc. Swarna Makshika (Copper pyrite) is the most abundant copper bearing mineral. Swarnamakshika (Copper Pyrite) was prepared according to the Ayurvedic classics and subjected to various bhasma parikshas (Powder test) as explained in Rasashastra (Indian Alchemy) text and also including the Namburi Phased Spot Test one of the qualitative tests described for various Ayurvedic preparations of Bhasma (Powder). NPST helps differentiate between purity of the sample, and thus identify, various bhasmas. It depends upon the pattern of the spot, which develops after a specific chemical reaction. Sample of Swarna Makshika Bhasma, (Swarnamakshika powder) which was tested with NPST the bhasmas (Ashes) prepared in our college, produced the most accurate results

Immunomodulatory effects of Swarnamakshika Bhasma : A Experimental Study

The present day lifestyle and food habits have increased the production of free radicals. These cytotoxic free radicals not only raise the oxidative stress but also play an important role in the immune-system dysfunction due to which the mankind is prone to various major ailments and it is now proved that diseases like Prameha, Pandu, Vatavyadhi etc. are free radical mediated ones. To tackle these free radicals our body needs antioxidants. An antioxidant is a molecule which is capable of inhibiting the oxidation of other molecules. Oxidation reactions can produce free radicals which in turn start chain reactions that damage cells. Antioxidants terminate these chain reactions by removing free radical intermediates and inhibit other oxidation reactions. Many herbals drugs and compound herbal preparations have been screened for their antioxidant and immuno-modulatory properties but still there is a need for effective antioxidants. This dearth and also the fact that Swarnamakshika is being used in treating many of the free radical mediated diseases prompted us to take the present study which aims to validate the immuno-modulatory effect of Swarnamakshika Bhasma scientifically and explain its probable mode of action at the cellular level

Experimental study of the influence of glass cover cooling using evaporative cooling process on the thermal performance of single basin solar still

Acute shortage of drinking water has been on the rise owing to increasing population as well as shortage of drinkable water. Generation of potable water using passive solar stills is among the simplest and easier devices which make use of solar heat energy. However, the output of solar still is generally low owing to greater heat loss and needs improvement. In this paper, an experimental analysis is carried out to determine the performance of passive solar still with glass cover cooling using cold water generated using passive evaporative cooling process. The cold water required for cooling the glass cover is obtained using evaporative cooling process in the water tank which is wound with wet cotton cloth wick. The cold water thus obtained is sprayed onto the top surface of glass cover. The experiment is carried out in the outdoor conditions of Dubai from 10:00h to 14:00h and the temperature recordings of basin plate, glass cover, basin water, ambient air and cooling water are noted for every 30 minutes. The results reveal that the average increase in condensation heat transfer coefficient is found to be about 20.8% higher in the presence of glass cover cooling and the distillate output is found to increase by about 3.32 times. The average still efficiency is found to be relatively higher in the presence of cooling which is about 7.3% higher in the presence of cooling. The cold water temperature generated through evaporative cooling process is about 20.4% lower as compared to ambient temperature. Thus, the cooling of glass cover using cold water obtained through evaporative cooling process is found to be effective in enhancing the thermal performance of single basin solar still system

A Note on 1-Edge Balance Index Set

Let G be a graph with vertex set V and edge set E, and Z2 = {0, 1}. Let f be a labeling from E to Z2, so that the labels of the edges are 0 or 1. The edges labelled 1 are called 1-edges and edges labelled 0 are called 0-edges. The edge labeling f induces a vertex labeling f* : V -. Z2 defined by f*(v) =.. . 1 if the number of 1-edges incident on v is odd, 0 if the number of 1-edges incident on v is even. For i . Z2 let ef (i) = e(i) = |{e . E : f(e) = i}| and vf (i) = v(i) = |{v . V : f*(v) = i}|. A labeling f is said to be edge-friendly if | e(0) - e(1) |= 1. The 1- edge balance index set (OEBI) of a graph G is defined by {| vf (0) -vf (1) | : the edge labeling f is edge-friendly}. The main purpose of this paper is to completely determine the 1-edge balance index set of wheel and Mycielskian graph of a path

A note on strongly sum difference quotient graphs

Recently, Adiga and Shivakumar Swamy 1 have introduced the concept of strongly sum difference quotient (SSDQ) graphs and shown that all graphs such as cycles, flowers and wheels are SSDQ graphs. They have also derived an explicit formula for α(n); the maximum number of edges in a SSDQ graphs of order n in terms of Eulers phi function. In this paper, we show that much studied families of graphs such as Mycielskian of the path Pn and the cycle Cn; Cn � Pn; double triangular snake graphs and total graph of Cn are strongly sum difference quotient graphs

Color energy of a graph

In this paper, we introduce the concept of color energy of a graph, E C(G) and compute the color energy EX(G) of few families of graphs with minimum number of colors. It depends on the underlying graph and colors on its vertices. We establish an upper bound and a lower bound for color energy. Also we introduce the concept of complement of a colored graph and compute energies of complement of colored graphs of few families of graphs

Abstract

A split lexicon approach for improved recognitio

On vertex balance index set of some graphs

Let Z2 = {0, 1} and G = (V, E) be a graph. A labeling f : V −→ Z2 induces an edge labeling f ∗ : E −→ Z2 defined by f ∗ (uv) = f(u).f(v). For i ∈ Z2, let vf (i) = v(i) = card{v ∈ V : f(v) = i} and ef (i) = e(i) = card{e ∈ E : f ∗ (e) = i}. A labeling f is said to be vertex-friendly if | v(0)−v(1) |≤ 1. The vertex balance index set is defined by {| ef (0) − ef (1) | : f is vertex-friendly}. In this paper we completely determine the vertex balance index set of Kn, Km,n, Cn × P2 and Complete binary tree

Neural Speech Decoding During Audition, Imagination and Production

© 2013 IEEE. Interpretation of neural signals to a form that is as intelligible as speech facilitates the development of communication mediums for the otherwise speech/motor-impaired individuals. Speech perception, production, and imagination often constitute phases of human communication. The primary goal of this article is to analyze the similarity between these three phases by studying electroencephalogram(EEG) patterns across these modalities, in order to establish their usefulness for brain computer interfaces. Neural decoding of speech using such non-invasive techniques necessitates the optimal choice of signal analysis and translation protocols. By employing selection-by-exclusion based temporal modeling algorithms, we discover fundamental syllable-like units that reveal similar set of signal signatures across all the three phases. Significantly higher than chance accuracies are recorded for single trial multi-unit EEG classification using machine learning approaches over three datasets across 30 subjects. Repeatability and subject independence tests performed at every step of the analysis further strengthens the findings and holds promise for translating brain signals to speech non-invasively