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Search Results: 1 - 10 of 5150 matches for " Venkatachalam Ch "
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A simple slide test to assess erythrocyte aggregation in acute ST-elevated myocardial infarction and acute ischemic stroke: Its prognostic significance
Lakshmi Atla,Uma Prasad,Venkatachalam Ch,Nageswar Rao G
Indian Journal of Pathology and Microbiology , 2011,
Abstract: A simple slide test and image analysis were used to reveal the presence of an acute-phase response and to determine its intensity in subjects of acute myocardial infarction and acute ischemic stroke. Erythrocytes tend to aggregate during an inflammatory process. Evaluation of erythrocyte adhesiveness/aggregation is currently available to the clinicians indirectly by erythrocyte sedimentation rate (ESR), but ESR correlates poorly with erythrocyte aggregation, hence a simple slide technique using citrated blood was used to evaluate erythrocyte aggregation microscopically and also by using image analysis. Aims: (1) To study erythrocyte aggregation/adhesiveness by a simple slide test in subjects with acute ST-elevated myocardial infarction (STEMI), acute ischemic stroke and healthy controls. (2) To study the prognostic significance of ESR and erythrocyte aggregation/adhesiveness test (EAAT) in predicting the outcome after 1 week in subjects of acute myocardial infarction and acute ischemic stroke. Patients and Methods: Three groups of subjects were included in the study; 30 patients of acute STEMI, 30 patients of acute ischemic stroke, and 30 subjects with age- and gender-matched healthy controls. Citrated blood was subjected to simple slide test and ESR estimation by Westergren′s method. Stained smears were examined under 400Χ and graded into four grades. Images were taken from nine fields; three each from head, body, and tail of the smear. The degree of erythrocyte aggregation was quantified using a variable called erythrocyte percentage (EP), by using the software MATLAB Version 7.5. A simple program was used to count the number of black and white pixels in the image by selecting a threshold level. Results: The mean ESR of the subjects with acute myocardial infarction (29 + 17.34) was significantly higher (P = 0.001) than the mean ESR of the control group (15.5 + 12.37). The mean EP of the subjects with acute myocardial infarction (69.91 + 13.25) was significantly lower (P < 0.001) than the mean EP of the control group (85.16 + 8.41). The mean ESR of the subjects with acute stroke (40.46 + 33.75) was significantly higher (P = 0.0005) than that of the controls (15.5 + 12.37). The mean EP of the stroke patients (70.59 + 11.30) was significantly lower (P < 0.001) than the mean EP of the controls (85.16 + 8.41). In subjects with acute myocardial infarction there was a significant negative correlation (r = 0.623) between ESR and EP. In acute stroke patients there was a significant negative correlation (r = 0.69) between ESR and EP. On performing standard er
Decolorization of Cibacron Yellow S-3R Using Coriolus Versicolor (MTCC 138)
Sivakumar Venkatachalam,Chitradevi Venkatachalam
Modern Applied Science , 2009, DOI: 10.5539/mas.v2n5p3
Abstract: The aim of the present study is to analyze the ability of the white rot fungi Coriolus Versicolor (MTCC 138) in the decolorization of Cibacron Yellow S-3R, a recalcitrant azo reactive textile dye. The influencing parameters that affect the percentage of decolorization rates are optimized in batch mode. The optimal values of the parameters such as mycelia age, temperature, pH, initial dye concentration and carbon source concentration are found to be 7 days, 30°C, 5.4, 100 mg/l and 2 mg/l respectively. The maximum percentage of decolorization at the optimized conditions is found to be 90%. It is also conferred that there is substrate inhibition to fungal decolorization when initial dye concentration is greater than 100 mg/l.
Oscillation of Second Order Nonlinear Neutral Differential Equations with Mixed Neutral Term  [PDF]
Ramalingam Arul, Venkatachalam Subramaniyam Shobha
Journal of Applied Mathematics and Physics (JAMP) , 2015, DOI: 10.4236/jamp.2015.39134
Abstract: In this paper, we obtained some sufficient conditions for the oscillation of all solutions of the second order neutral differential equation of the form \"\"where \"\", and \"\". Examples are provided to illustrate the main results.
WIENER PREDICTION BASED HANDOFF CALL RESOURCE MANAGEMENT IN WIRELESS MOBILE MULTIMEDIA NETWORKS
K. Venkatachalam
Journal of Global Research in Computer Science , 2011,
Abstract: The objective of wireless mobile multimedia networks is to allocate required amount of resources to a mobile multimedia call. Reserving the resources in advance to a future new and handoff call is better than rejecting a call at neck of the moment due to insufficient resource at a particular time. This work presents an efficient handoff resource management method by considering the future resource demands of a wireless multimedia call. Here wiener prediction based resource estimation and reservation method is adopted to estimate the instantaneous resource demands of a mobile call. Cell segmentation technique is introduced and utilized to predict the resource demands more accurately in a real time manner. The simulation result shows the synergy of resource reservation using wiener prediction and cell segmentation have been decrease the call dropping probability of the handoff calls and enhance the micro and pico cellular system performance in real time manner
An Integrated Face Tracking and Facial Expression Recognition System  [PDF]
Angappan Geetha, Venkatachalam Ramalingam, Sengottaiyan Palanivel
Journal of Intelligent Learning Systems and Applications (JILSA) , 2011, DOI: 10.4236/jilsa.2011.34023
Abstract: This article proposes a feature extraction method for an integrated face tracking and facial expression recognition in real time video. The method proposed by Viola and Jones [1] is used to detect the face region in the first frame of the video. A rectangular bounding box is fitted over for the face region and the detected face is tracked in the successive frames using the cascaded Support vector machine (SVM) and cascaded Radial basis function neural network (RBFNN). The haar-like features are extracted from the detected face region and they are used to create a cascaded SVM and RBFNN classifiers. Each stage of the SVM classifier and RBFNN classifier rejects the non-face regions and pass the face regions to the next stage in the cascade thereby efficiently tracking the face. The performance of tracking is evaluated using one hour video data. The performance of the cascaded SVM is compared with the cascaded RBFNN. The experiment results show that the proposed cascaded SVM classifier method gives better performance over the RBFNN and also the methods described in the literature using single SVM classifier [2]. While the face is being tracked, features are extracted from the mouth region for expression recognition. The features are modelled using a multi-class SVM. The SVM finds an optimal hyperplane to distinguish different facial expressions with an accuracy of 96.0%.
Spontaneous bilateral distal ulna fracture: an unusual complication in a rheumatoid patient
Santosh Venkatachalam,Paul Dixon
Journal of Orthopaedics and Traumatology , 2011, DOI: 10.1007/s10195-011-0140-4
Abstract: Bilateral ulna stress fractures are extremely rare. Patients with rheumatoid arthritis have osteopenic bone secondary to a variety of causes. We report a case of bilateral stress fractures of the ulna in an elderly patient with rheumatoid arthritis, and literature on this condition is reviewed. Prompt recognition and activity modification are essential to treat this rare injury. Recovery can take up to 12 weeks.
Spatial Beam Compression and Effective Beam Injection Using Triangular Gradient Index Profile Photonic Crystals
Natesan Yogesh;Venkatachalam Subramanian
PIER , 2012, DOI: 10.2528/PIER12050206
Abstract: Spatial beam compression of an electromagnetic wave is one of the fundamental techniques employed in microwaves and optics. As there are many ways to achieve this task using the combination of prisms and lenses, recent research suggests the parabolic gradient index photonic crystals (GRIN PC) for the design of spatial beam compressor owing to its functionalities. However, the fabrication of a graded media with the parabolic profile is a difficult challenge in practical realization. To an alternative, present work attempts this problem with respect to the triangular gradient index profile. The performance and aspects of the beam compression are investigated experimentally using the pillar type GRIN PC at the microwave length-scales. The utility of the device for an effective beam injection to the photonic-waveguide component is further demonstrated experimentally.
Analysis of Self-Collimation Based Cavity Resonator Formed by Photonic Crystal
Natesan Yogesh;Venkatachalam Subramanian
PIER M , 2010, DOI: 10.2528/PIERM10012604
Abstract: The self-collimation effect in photonic crystal is used for the realization of open cavity resonator formed by photonic prisms in a four-port arrangement. The confinement, field enhancement and energy storage capabilities of the proposed cavity are explored in this paper. The effect of dielectric losses included in the system and role of the position of line source in the confinement effect of the cavity are brought out. Decay of short Gaussian pulse placed inside the cavity is analyzed through finite-difference time-domain studies. Due to the high confinement and divergence less beam propagation, utility of the proposed cavity for rotational gyroscope application is also revealed.
Near Field Focusing Effect and Hyperbolic Dispersion in Dielectric Photonic Crystals
Natesan Yogesh;Venkatachalam Subramanian
PIER M , 2011, DOI: 10.2528/PIERM11070702
Abstract: This paper investigates the near field focusing behavior corresponding to the hyperbolic dispersion regime at the second band of the square lattice photonic crystal (PC). Numerical studies reveal the influence of the corner part negative refraction in the observed focusing effect, though the major part of the refraction is divergent at this hyperbolic regime. It is further observed that the investigated dispersion shows the surface mode behavior when the effective index of the PC slab is higher than the air medium. This aspect may be implemented for the excitation and transfer of near fields for an evanescent wave microscopy.
Efficient Spatial Data mining using Integrated Genetic Algorithm and ACO
K Sankar,V Venkatachalam
International Journal of Computer Science Issues , 2011,
Abstract: Spatial data plays a key role in numerous applications such as network traffic, distributed security applications such as banking, retailing, etc., The spatial data is essential mine, useful for decision making and the knowledge discovery of interesting facts from large amounts of data. Many private institutions, organizations collect the number of congestion on the network while packets of data are sent, the flow of data and the mobility of the same. In addition other databases provide the additional information about the client who has sent the data, the server who has to receive the data, total number of clients on the network, etc. These data contain a mine of useful information for the network traffic risk analysis. Initially study was conducted to identify and predict the number of nodes in the system; the nodes can either be a client or a server. It used a decision tree that studies from the traffic risk in a network. However, this method is only based on tabular data and does not exploit geo routing location. Using the data, combined to trend data relating to the network, the traffic flow, demand, load, etc., this work aims at deducing relevant risk models to help in network traffic safety task. The existing work provided a pragmatic approach to multi-layer geo-data mining. The process behind was to prepare input data by joining each layer table using a given spatial criterion, then applying a standard method to build a decision tree. The existing work did not consider multi-relational data mining domain. The quality of a decision tree depends, on the quality of the initial data which are incomplete, incorrect or non relevant data inevitably leads to erroneous results. The proposed model develops an ant colony algorithm integrated with GA for the discovery of spatial trend patterns found in a network traffic risk analysis database. The proposed ant colony based spatial data mining algorithm applies the emergent intelligent behavior of ant colonies. The experimental results on a network traffic (trend layer) spatial database show that our method has higher efficiency in performance of the discovery process compared to other existing approaches using non-intelligent decision tree heuristics.
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