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Search Results: 1 - 10 of 401309 matches for " M.KASTHURI "
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DYNAMIC DATA GATHERING PROTOCOL IN WIRELESS SENSOR NETWORKS
Ms. S.SOBANA,M.KASTHURI,Mrs. S.KRISHNA PRABHA?
International Journal of Computer Science and Mobile Computing , 2013,
Abstract: Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wirelesscommunications capabilities. Recent advances in wireless communications technology and microelectromechanical systems have enabled the development of low cost, low power, network-enabled, andmultifunctional micro sensors. The potential applications of wireless sensor networks (WSNs) span a widespectrum in various domains, due to their ease of deployment, re-liability, scalability, flexibility, and selforganization.Generally there are three models of WSN: time, on-demand and event driven. In this paper, wepropose a hybrid data-gathering protocol which uses the advantages of both the event-driven and time-drivendata-reporting schemes. The main aim of our approach is to detect an event of interest in the near future byusing adaptive transmission based data-reporting process. Without requiring observer intervention the datafrom neighboring areas are gathered proactively. The proposed protocol analyzes the environmental changesaccurately using moderate resource consumption. The proposed protocol is implemented in networksimulator and analyzes its behaviors using synthetic environments that model the occurrence of a fire.
The Inhibitory Action of the Extracts of Adathoda vasica, Eclipta alba, and Centella asiatica on the Corrosion of Mild Steel in Hydrochloric Acid Medium: A Comparative Study
M. Shyamala,P. K. Kasthuri
International Journal of Corrosion , 2012, DOI: 10.1155/2012/852827
Abstract: The Inhibitive action of the extracts of Adathoda vasica, Eclipta alba, and Centella asiatica on the corrosion of mild steel in 1N HCl has been studied using weight loss method, electrochemical methods, and hydrogen permeation method. Polarization method indicates that the plant extracts are under mixed control, that is, promoting retardation of both anodic and cathodic reactions. The impedance method reveals that charge-transfer process controls the corrosion of mild steel. The plant extracts obey Langmuir adsorption isotherm. Theoretical fitting of the corrosion data to the kinetic-thermodynamic model was tested to show the nature of adsorption. Physisorption mechanism has been proposed for the inhibition action of these plant extracts. The protective film formed on the surface was confirmed by SEM. From hydrogen permeation method, all the plant extracts were able to reduce the permeation current. Results obtained in all three methods were very much in good agreement in the order Eclipta alba > Adathoda vasica > Centella asiatica, and, among the three plant extracts studied, the maximum inhibition efficiency was found in Eclipta alba which showed 99.6% inhibition efficiency at 8.0% v/v concentration of the extract. 1. Introduction Mild steel was the material of choice due to its characteristics of wide application in motor car bodies, machines, gears, pipes, tanks, and so forth and in most of the chemical industries. Hydrochloric acid and sulphuric acids are the medium generally being used for pickling mild steel. About 90% of pickling problems can be solved by introducing appropriate pickling inhibitor to the medium. The recent and growing trend is using plant extracts as corrosion inhibitor. Owing to strict environmental legislation, emphasis is being focused on development of naturally occurring substances as corrosion inhibitors [1]. Recently, many plant extracts have been reported to be very effective corrosion inhibitors for the protection of mild steel in acidic media [2–19]. In this study, the inhibition effect of the leaf extracts of Adathoda vasica (Adathodai), Eclipta alba (Karisalankanni), and Centella asiatica (Vallarai) on the corrosion of mild steel in 1N hydrochloric acid was investigated using weight loss method, electrochemical methods, and hydrogen permeation method. There was no literature report on the studies of corrosion inhibition effect of the above plant extracts on mild steel in hydrochloric acid medium previously. From literature survey, it were found that the six plants selected for investigation was found to contain some
A Comparative Study of the Inhibitory Effect of the Extracts of Ocimum sanctum, Aegle marmelos, and Solanum trilobatum on the Corrosion of Mild Steel in Hydrochloric Acid Medium
M. Shyamala,P. K. Kasthuri
International Journal of Corrosion , 2011, DOI: 10.1155/2011/129647
Abstract: A comparative study of the inhibitory effect of plant extracts, Ocimum sanctum, Aegle marmelos, and Solanum trilobatum, on the corrosion of mild steel in 1N HCl medium was investigated using weightloss method, electrochemical methods, and hydrogen permeation method. Polarization method indicates plant extracts behave as mixed-type inhibitor. The impedance method reveals that charge-transfer process mainly controls the corrosion of mild steel. On comparison, maximum inhibition efficiency was found in Ocimum sanctum with 99.6% inhibition efficiency at 6.0%?v/v concentration of the extract. The plant extracts obey Langmuir adsorption isotherm. The SEM morphology of the adsorbed protective film on the mild steel surface has confirmed the high performance of inhibitive effect of the plant extracts. From hydrogen permeation method, all the plant extracts were able to reduce the permeation current. The reason for the reduced permeation currents in presence of the inhibitors may be attributed to the slow discharge step followed by fast electrolytic desorption step. Results obtained in all three methods were very much in good agreement in the order Ocimum sanctum > Aegle marmelos > Solanum trilobatum. 1. Introduction Mild steel is a structural material widely used in automobiles, pipes and used in most of the chemical industries. Mild steel suffers from severe corrosion in aggressive medium of acids and pickling processes. Hydrochloric acid is widely used for pickling, descaling, and chemical cleaning processes of mild steel. 90% of pickling problems can be solved by introducing appropriate pickling inhibitor to the medium. Generally, organic compounds containing O, N, and S atoms are normally used as inhibitors to reduce the corrosion of mild steel in hydrochloric acid medium [1, 2]. Environmental concerns worldwide are increasing and are likely to influence the choice of corrosion inhibitors in the present and in future. Environmental requirements are still being developed, but some elements have been established. One of the methods to protect metals against corrosion is addition of species to the solution in contact with the surface in order to inhibit the corrosion rate. Unfortunately, many of the inhibitors used are inorganic salts or organic compounds with toxic properties or limited solubility. Increasing awareness of health and ecological risks has drawn attention to find more suitable inhibitors which are nontoxic. Accordingly, greater research efforts have been directed towards formulating environmentally acceptable inhibitors. Due to the diversity of
Pascu-Type Harmonic Functions with Positive Coefficients Involving Salagean Operator
K. Vijaya,G. Murugusundaramoorthy,M. Kasthuri
International Journal of Analysis , 2014, DOI: 10.1155/2014/793709
Abstract: Making use of a Salagean operator, we introduce a new class of complex valued harmonic functions which are orientation preserving and univalent in the open unit disc. Among the results presented in this paper including the coeffcient bounds, distortion inequality, and covering property, extreme points, certain inclusion results, convolution properties, and partial sums for this generalized class of functions are discussed. 1. Introduction and Preliminaries A continuous function is a complex-valued harmonic function in a complex domain if both and are real and harmonic in . In any simply connected domain , we can write , where and are analytic in . We call the analytic part and the coanalytic part of . A necessary and sufficient condition for to be locally univalent and orientation preserving in is that in (see [1]). Denote by the family of functions which are harmonic, univalent, and orientation preserving in the open unit disc so that is normalized by . Thus, for , the functions and are analytic in and can be expressed in the following forms: and is then given by We note that the family of orientation preserving, normalized harmonic univalent functions reduces to the well-known class of normalized univalent functions if the coanalytic part of is identically zero; that is, . For functions , Jahangiri et al. [2] defined Salagean operator on harmonic functions given by where In 1975, Silverman [3] introduced a new class of analytic functions of the form and opened up a new direction of studies in the theory of univalent functions as well as in harmonic functions with negative coefficients [4]. Uralegaddi et al. [5] introduced analogous subclasses of star-like, convex functions with positive coefficients and opened up a new and interesting direction of research. In fact, they considered the functions where the coefficients are positive rather than negative real numbers. Motivated by the initial work of Uralegaddi et al. [5], many researchers (see [6–9]) introduced and studied various new subclasses of analytic functions with positive coefficients but analogues results on harmonic univalent functions have not been explored in the literature. Very recently, Dixit and Porwal [10] attempted to fill this gap by introducing a new subclass of harmonic univalent functions with positive coefficients. Denote by the subfamily of consisting of harmonic functions of the form Motivated by the earlier works of [11–14] on the subject of harmonic functions, in this paper an attempt has been made to study the class of functions associated with Salagean operator on harmonic
Environmental Noise Classification and Cancellation using Fuzzy Classifier and Fuzzy Adaptive Filters
T. Meera Devi,N. Kasthuri,A. M. Natarajan
International Journal of Computer Science Issues , 2012,
Abstract: The background noise is one of the major factors, which adversely affects the perceived grade of service in audio communication systems. The main problem in most of the environmental noise reduction system is source of noise signal which is to be used as a reference signal. Once the noise source is known then the noise elimination process will become easier. In any environmental conditions, predominant noise signal which is corrupting the original speech signal can be identified using neural network classification. In conventional gradient-based learning algorithms, tuning methods need to be differentiable and it leads to slow in convergence and if the noise is nonlinear, it will not provide a good generalization performance. To overcome this, an automatic noise reduction system is proposed which is an integration of fuzzy classifier and fuzzy adaptive filter.
PERFORMANCE COMPARISION OF ENVIRONMENTAL NOISE MODELLING USING HIDDEN MARKOV MODEL AND FUZZY HIDDEN MARKOV MODEL
T.Meera Devi,,Dr.N.Kasthuri,,Dr.A.M.Natarajan
International Journal of Engineering Science and Technology , 2011,
Abstract: Signal model can provide the basis for the theoretical description of a signal processing system. The signal models are used to learn about the signal source when it is unavailable. Also these models are used to realize many practical systems. In this paper environmental noise signals are modelled and these modelled noise signals can be used as a reference noise signal for the noise cancellation system when the type of noise is not known priori. In this work, an approach to model the environmental noises using Hidden Markov Model (HMM) and Fuzzy Hidden Markov models (FHMM) are used and thereby use the modelled noise as reference noise input for cancelling the encountered noise using Fuzzy Recursive Least Square algorithm (FRLS) is proposed. The system is tested for various noises like horn noises from bus, car and babble noise. The performance of both the algorithms is compared. Experimental results show that Fuzzy Recursive Least Square algorithm with reference noise from fuzzy HMM based modelled noise provides 33% better performance than Recursive Least Square algorithm with reference noise from HMM based modelled noise.
(1Z)-1-(2,4-Dichlorophenyl)ethan-1-one semicarbazone
Hoong-Kun Fun,Kasthuri Balasubramani,A. M. Vijesh,Shridhar Malladii
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809029900
Abstract: In the title compound, C9H9Cl2N3O, the semicarbazone group is approximately planar, with an r.m.s deviation from the mean plane of 0.011 (2) . The dihedral angle between the least-squares planes through the semicarbazone group and the benzene ring is 38.76 (9)°. The crystal structure is further stabilized by N—H...O and C—H...O hydrogen bonding.
RBC Barcoding Allows for the Study of Erythrocyte Population Dynamics and P. falciparum Merozoite Invasion
Martha A. Clark, Morgan M. Goheen, Nicholas A. Spidale, Raj S. Kasthuri, Anthony Fulford, Carla Cerami
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0101041
Abstract: Plasmodium falciparum invasion of host erythrocytes is essential for the propagation of the blood stage of malaria infection. Additionally, the brief extracellular merozoite stage of P. falciparum represents one of the rare windows during which the parasite is directly exposed to the host immune response. Therefore, efficient invasion of the host erythrocyte is necessary not only for productive host erythrocyte infection, but also for evasion of the immune response. Host traits, such as hemoglobinopathies and differential expression of erythrocyte invasion ligands, can protect individuals from malaria by impeding parasite erythrocyte invasion. Here we combine RBC barcoding with flow cytometry to study P. falciparum invasion. This novel high-throughput method allows for the (i) direct comparison of P. falciparum invasion into different erythrocyte populations and (ii) assessment of the impact of changing erythrocyte population dynamics on P. falciparum invasion.
Hiding Sensitive Association Rule Using Heuristic Approach
Kasthuri S,Meyyappan T
International Journal of Data Mining & Knowledge Management Process , 2013,
Abstract: Data mining is the process of identifying patterns from large amount of data. Association rule mining aims to discover dependency relationships across attributes. It may also disclose sensitive information. With extensive application of data mining techniques to various domains, privacy preservation becomes mandatory. Association rule hiding is one of the techniques of privacy preserving data mining to protect the sensitive association rules generated by association rule mining. This paper adopts heuristic approach for hiding sensitive association rules. The proposed technique makes the representative rules and hides the sensitive rules.
Multi-Item Fuzzy Inventory Model Involving Three Constraints: A Karush-Kuhn-Tucker Conditions Approach  [PDF]
R. Kasthuri, P. Vasanthi, S. Ranganayaki, C. V. Seshaiah
American Journal of Operations Research (AJOR) , 2011, DOI: 10.4236/ajor.2011.13017
Abstract: In this paper, a multi-item inventory model with storage space, number of orders and production cost as constraints are developed in both crisp and fuzzy environment. In most of the real world situations the cost parameters, the objective functions and constraints of the decision makers are imprecise in nature. This model is solved with shortages and the unit cost dependent demand is assumed. Hence the cost parameters are imposed here in fuzzy environment. This model has been solved by Kuhn-Tucker conditions method. The results for the model without shortages are obtained as a particular case. The model is illustrated with numerical example.
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