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Preliminary phytochemical and antiulcer studies of Hibiscus rosa sinensis Linn. root extracts
Anita Gnana Kumari A,Palavesam A,Anbu Jeba Sunilson J,Anandarajagopal K
International Journal of Green Pharmacy , 2010,
Abstract: The antiulcer activity of various extracts of Hibiscus rosa sinensis roots was evaluated in pyloric ligation induced gastric ulcer in albino rats. The root extracts were prepared by cold maceration process with petroleum ether, alcohol and water separately. The preliminary phytochemical screening of H. rosa sinensis revealed the presence of sterols, glycosides, proteins, mucilage and flavonoids. Oral administration of aqueous and alcohol extracts (250 and 500 mg/kg) of H. rosa sinensis roots were evaluated for antiulcer activity and compared with the standard drug, lansoperazole (8 mg/kg). From the results, it can be concluded that the aqueous extract of H. rosa sinensis roots (500 mg/kg) showed highly significant (P< 0.001) dose-dependent antiulcer activity. These results lend scientific support for the plant as folk medicine.
AN EFFICIENT APPROACH TO DETECT FOREST FIRE USING K-MEDIODS ALGORITHM
A Gnana Baskaran
Journal of Global Research in Computer Science , 2011,
Abstract: Clustering high dimensional spatial data for Forest fire risk analysis has been major issue due to sparsity of data points.. Most of the clustering algorithm becomes inefficient if the required distance similarity measure is computed for low dimensional spatial space of high dimensional data with sparsity of data point along different dimensions and also considering the obstacles.. Objective of this study were to contribute the complexity of projecting clusters for traffic risk analysis, (i) lack of support for reducing the number of dimensions on spatial space to reduce the searching time (ii) the lack of support for obstacles in the spatial data space. (iii) Compare computation time of HARP, Proclus, Doc, FastDoc, SSPC algorithms. Approach: During the first phase the satellite captured still images for different dimensions such as time and location of the forest fire network are enhanced and this images are given as input to red color image separation, During this phase the input images groped based on red color using K-Means algorithm and during the second phase the red color images are converted to gray scale images . The third phase mainly focuses on spatial attribute relevance analysis for detecting dense and sparse forest fire regions after detecting dense and sparse fire regions the algorithm employees pruning technique to reduce the search space by taking only dense fire regions and eliminating sparse fire regions and during fourth phase K-mediods algorithm is employed to project the clusters on different spatial dimensions and also it solves the problem of obstacles Results: First we showed that various projecting clustering algorithm on spatial space becomes inefficient if the number of dimensions increases .The new scheme proposed reduces the spatial dimension space so that it reduces the computation time and also it solves the problem of obstacles using K-mediods algorithim and finally the result is compared with HARP ,Proclus,Doc,FastDoc,SSPC The algorithms produces acceptable results when the average cluster dimensionality is greater than 10%. Conclusion: Hence the findings suggested the overhead reasonably minimized and using simulations, we investigated the efficiency of our schemes in supporting high dimensional spatial clustering for forest fire risk analysis. Keywords: Data mining, clustering, high dimensions projected clustering, pruning.
AN EFFICIENT APPROACH TO DETECT FOREST FIRE USING K-MEDIODS ALGORITHM
A Gnana Baskaran
Journal of Global Research in Computer Science , 2011,
Abstract: : Clustering high dimensional spatial data for Forest fire risk analysis has been major issue due to sparsity of data points.. Most of the clustering algorithm becomes inefficient if the required distance similarity measure is computed for low dimensional spatial space of high dimensional data with sparsity of data point along different dimensions and also considering the obstacles.. Objective of this study were to contribute the complexity of projecting clusters for traffic risk analysis, (i) lack of support for reducing the number of dimensions on spatial space to reduce the searching time (ii) the lack of support for obstacles in the spatial data space. (iii) Compare computation time of HARP, Proclus, Doc, FastDoc, SSPC algorithms. Approach: During the first phase the satellite captured still images for different dimensions such as time and location of the forest fire network are enhanced and this images are given as input to red color image separation, During this phase the input images groped based on red color using K-Means algorithm and during the second phase the red color images are converted to gray scale images . The third phase mainly focuses on spatial attribute relevance analysis for detecting dense and sparse forest fire regions after detecting dense and sparse fire regions the algorithm employees pruning technique to reduce the search space by taking only dense fire regions and eliminating sparse fire regions and during fourth phase K-mediods algorithm is employed to project the clusters on different spatial dimensions and also it solves the problem of obstacles Results: First we showed that various projecting clustering algorithm on spatial space becomes inefficient if the number of dimensions increases .The new scheme proposed reduces the spatial dimension space so that it reduces the computation time and also it solves the problem of obstacles using K-mediods algorithim and finally the result is compared with HARP ,Proclus,Doc,FastDoc,SSPC The algorithms produces acceptable results when the average cluster dimensionality is greater than 10%. Conclusion: Hence the findings suggested the overhead reasonably minimized and using simulations, we investigated the efficiency of our schemes in supporting high dimensional spatial clustering for forest fire risk analysis. Keywords: Data mining, clustering, high dimensions projected clustering, pruning.
Nitric oxide induced alleviation of toxic effects of short term and long term Cd stress on growth, oxidative metabolism and Cd accumulation in Chickpea
Kumari, Anita;Sheokand, Sunita;Swaraj, Kumari;
Brazilian Journal of Plant Physiology , 2010, DOI: 10.1590/S1677-04202010000400007
Abstract: the present study investigates the effect of long and short term cd stress in chickpea plants and evaluates the protective effect of exogenous nitric oxide (no) supplementation using sodium nitroprusside (snp). cadmium treatments were given before sowing (long term stress) and thirty days after germination (short term stress). sodium nitroprusside was given as foliar spray 30 days after germination to both long and short term cd treated plants. cadmium adversely affected the membranes as was evident from increased electrolyte leakage and lipid peroxidation levels. sodium nitroprusside treatments decreased ion leakage and lipid peroxidation levels significantly. short term cd stress resulted in a higher induction of the catalase, peroxidase, ascorbate peroxidase, glutathione reductase and superoxide dismutase as compared to long term cd stress. nitric oxide showed its positive effect by further increasing the activities of antioxidant enzymes. cadmium stress also altered the level of antioxidant metabolites by reducing the ascorbate redox ratio (asc/dha) and glutathione redox ratio (gsh/gssg). sodium nitroprusside treatments increased the redox ratios. cadmium also adversely affected the seed yield and a greater decline was observed with long term cd stress as compared to short term cd stress. nitric oxide had a positive effect on seed yield and cd accumulation. the study concludes that an exogenous supply of no protects chickpea plants from cd toxicity.
Privacy and Security issues in Cloud Computing
Anita Kumari Nanda , Brojo Kishore Mishra
International Journal of Advanced Computer Research , 2012,
Abstract: “Cloud computing” – a relatively recent term, defines the paths ahead in computer science world. Being built on decades of research it utilizes all recent achievements in virtualization, distributed computing, utility computing, and networking. It implies a service oriented architecture through offering software and platforms as services, reduced information technology overhead for the end-user, great flexibility, reduced total cost of ownership, on demand services and many other things. Security concerns the confidentiality, availability and integrity of data or information. Security may also include authentication and non-repudiation. This paper is a brief survey based on readings of “cloud” computing and it tries to address related research topics, privacy and security issues ahead and possible solution.
Factors affecting orientation and satisfaction of women entrepreneurs in rural India
Jeevan Jyoti,Jyoti Sharma,Anita Kumari
Annals of Innovation & Entrepreneurship , 2011, DOI: 10.3402/aie.v2i1.5813
Abstract: In the present era, the women-owned businesses in the form of women entrepreneurs are one of the fastest growing entrepreneurial populations in the India. The objective of the paper is to study the factors that affect women entrepreneurial orientation and their satisfaction. In this regard, the paper explores the affecting variables and their impact on orientation and satisfaction. The proposed model and hypotheses were tested by using the data collected from boutiques, beauty parlors, carpet making units, and general stores in Jammu and Kashmir (India). Univariate, bi-variate, and multi-variate techniques were used for data analysis. In SEM, 13 paths were created for evaluating the cause and effect relationship between different factors viz., social, psychological, financial, push, pull factors, problems, and entrepreneurial orientation and satisfaction. Out of 13 paths eight relationships are significant while five relationships are insignificant in this structural equation. The key finding of the paper is that all factors affect orientation highly as compared to satisfaction. The implications of research findings for researchers and practitioners are discussed and the suggestions have also been provided.
Defect Analysis of MCA Wires
Anita Kumari,Javier F. Pulecio,Sanjukta Bhanja
Physics , 2010,
Abstract: As devices continue to scale, imperfections in the fabrication process will have a more substantial impact on the reliability of a system. In Magnetic Cellular Automata (MCA) data is transferred through the coupling of neighboring cells via magnetic force fields. Due to the size of the switching cells, usually of the order of nanometers or smaller, MCA can be sensitive to inherent fabrication defects such as irregular spacing and non-uniform cell structures. Here we investigate conventional electron beam lithography fabrication defects and present a simulation based study on their effects on information propagation in a wire. The study varies the location of the different types of defects throughout the MCA wire under the in influence of a spatial moving clocking field. We demonstrate that with the proposed spatially moving clock the most probable fabrication defects of MCA do not affect the information propagation and the location of the defect does not play a significant role in computation. Thus it is concluded that MCA wires demonstrate significant defect robustness towards realistic electron beam lithography shortcomings.
L- edge colouring of graphs
R. B. Gnana Jothi,A. Uma Devi
International Journal of Mathematics and Soft Computing , 2013,
Abstract: A graph G = (V, E) is said to be topogenic if it admits a topogenic set indexer, which is a set indexer f: V 2X such that f(V) is a topology on X. A list colouring of a graph G = (V,E) with a colour list C = for V = {v1, v2, ….vn} is a proper colouring of V by element of so that the adjacent vertices u,v are coloured differently and the colour for is in C(V). L- edge colouring of a graph G is an assignment L:E(G) 2X- such that no two adjacent edges receive the same label where X is a ground set. A graph G is to be L- edge colourable if there exists an L- edge colouring of G. A comparative study of topogenic graphs and L- edge colourable graphs has been made in this paper.
Analysis of Performance of Broadcasting Protocol in Vehicular Ad-hoc Network Environment
A. Singaravelan,Dr. C. Suresh Gnana Dhas
International Journal of Computer Science and Network , 2013,
Abstract: Wireless communications are becoming the dominant form oftransferring information and the research field. In this paper, wedeal with the most applicable forms of the Vehicular Ad -HocNetworks (VANETs). VANET is the technology of buildinga robust Ad -Hoc network between mobile vehicles and eachother. VANETs applications are unique characteristics andpromising challenges. This paper presents a complete study ofthe broadcasting protocols in VANET environments. The novelreliable broadcasting protocol is designed for an optimumperformance of public-safety related applications. It possessesminimum latency, minimum probability of collision in theacknowledgment messages and unique robustness at differentspeeds and traffic volumes.
An Integrated Solution for both Monitoring and Controlling for Automization Using Wireless Sensor Networks: A Case Study
M Gnana Seelan,Ch A S Murty
International Journal of Network Security & Its Applications , 2013,
Abstract: Temperature monitoring plays a major role in controlling it according to its varied conditions. Thisprocess is common in all critical areas like data centre, server rooms, grid rooms and other datacommunication equipped rooms. This is mandatory for each organization/industry to impart suchprocess, as most of the critical data would be in data centre along with their network infrastructure whichhaving various electronic, electrical and mechanical devices are involved for data transmissions. Thesedevices are very much depend on the environmental factors such as temperature, moisture, humidity etc.,and also emit heat in the form of thermal energy when they are in functional. To overcome these heats,the server/data centre room(s) would be engaged with multiple (distributed) air-conditioning (ac) systemsto provide cooling environment and maintain the temperature level of the room. The proposed paper isthe study of automization of monitoring and controlling temperature as per desired requirements withwsn network
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