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Search Results: 1 - 10 of 224177 matches for " R. Nagarajan "
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Fuzzy Empowered Cognitive Spatial Relation Identification and Semantic Action Recognition  [PDF]
R. I. Minu, G. Nagarajan
Circuits and Systems (CS) , 2016, DOI: 10.4236/cs.2016.78165
Abstract: Automatic labeling of the action held by the players in a live-in sports video is the main motivation of this paper. In this paper, we proposed a fuzzy-based action recognition system from a basketball sports image. This paper deals with the intellectual sports event action recognition from a live video stream. It required an intelligent system which would automatically and semantically label the action in the videos through machine understandability concept. The machine knowledge can be feed through the domain ontology of particular sports event. The major required component for this kind of system is an efficient image analysis component and automation action labelling component. The image is labelled using Type-2 Fuzzy set concept.
Simulation and Implementation of Soft-Switched Interleaved DC-DC Boost Converter for Fuel Cell Systems
R. Seyezhai,Harinee Harinee,Nagarajan Nagarajan
Buletin Teknik Elektro dan Informatika , 2012,
Abstract: In this paper, a soft-switched Interleaved DC-DC Boost Converter (IBC) for fuel cell is simulated and implemented. The proposed two-phase IBC circuit consists of two identical boost converter connected in parallel and are controlled by interleaved switching signals. But in the conventional IBC switching loss increases with the number of switching devices. To solve this problem, this paper has proposed a soft switched IBC. Detailed analysis has been done to investigate the benefits of soft-switched IBC compared to that of conventional uncoupled and directly coupled IBC. The converter circuit is constructed using power MOSFET as power switch. The PWM is generated by PIC18F4450 microcontroller. In this paper, the analysis of the converter is presented which is verified by the results of simulation and experimentation.
2,4-Dichlorophenyl 4-bromobenzenesulfonate
Nagarajan Vembu,Frank R. Fronczek
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809042950
Abstract: In the title molecule, C12H7BrCl2O3S, the dihedral angle between the two benzene rings is 55.18 (5)°. The notable intermolecular contacts include C—H...O and π–π interactions [centroid–centroid distances = 4.037 (1) and 3.349 (1) ].
Morpholinium 2,4,6-trinitrophenolate
Nagarajan Vembu,Frank R. Fronczek
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536808042657
Abstract: There are two independent formula units in the asymmetric unit of the title compound, C4H10NO+·C6H2N3O7 . The morpholinium cations in both molecules are puckered and adopt a chair conformation. Intermolecular N—H...O and C—H...O interactions generate rings of motifs R21(5) and R12(6). The supramolecular aggregation is completed by the presence of two co-operative hydrogen-bonded networks of further N—H...O interactions, which generate an infinite one-dimensional chain along the base vector [100]. Two C—H...π interactions are also seen.
N,N-Dimethylanilinium 2,4,6-trinitrophenolate
Nagarajan Vembu,Frank R. Fronczek
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536808041743
Abstract: In the title compound, C8H12N+·C6H2N3O7 , there are N—H...O and C—H...O interactions which generate R21(5), R21(6) and R12(6) ring motifs. The supramolecular aggregation is completed by the presence of edge-to-face and offset face-to-face π–π interactions with centroid–centroid distances of 3.673 and 3.697 , respectively.
4-Nitrophenyl 4-bromobenzenesulfonate
Nagarajan Vembu,Frank R. Fronczek
Acta Crystallographica Section E , 2009, DOI: 10.1107/s1600536809040033
Abstract: In the title molecule, C12H8BrNO5S, the dihedral angle between the two benzene rings is 30.02 (7)°. The crystal structure is stabilized by weak C—H...O interactions.
Prediction of RNA Binding Residues: An Extensive Analysis Based on Structure and Function to Select the Best Predictor
R. Nagarajan, M. Michael Gromiha
PLOS ONE , 2014, DOI: 10.1371/journal.pone.0091140
Abstract: Protein-RNA complexes play key roles in several cellular processes by the interactions of amino acids with RNA. To understand the recognition mechanism, it is important to identify the specific amino acids involved in RNA binding. Various computational methods have been developed for predicting RNA binding residues from protein sequence. However, their performances mainly depend on the training dataset, feature selection for developing a model and learning capacity of the model. Hence, it is important to reveal the correspondence between the performance of methods and properties of RNA-binding proteins (RBPs). In this work, we have collected all available RNA binding residues prediction methods and revealed their performances on unbiased, stringent and diverse datasets for RBPs with less than 25% sequence identity based on structural class, fold, superfamily, family, protein function, RNA type, RNA strand and RNA conformation. The best methods for each type of RBPs and the type of RBPs, which require further refinement in prediction, have been brought out. We also analyzed the performance of these methods for the disordered regions, structures which are not included in the training dataset and recently solved structures. The reliability of prediction is better than randomly choosing any method or combination of methods. This approach would be a valuable resource for biologists to choose the best method based on the type of RBPs for designing their experiments and the tool is freely accessible online at www.iitm.ac.in/bioinfo/RNA-protein/.
Appropriateness of correlated first order auto-regressive processes for modeling daily temperature records
Radhakrishnan Nagarajan,R. B. Govindan
Physics , 2005, DOI: 10.1016/j.physa.2005.12.042
Abstract: The present study investigates linear and volatile (nonlinear) correlations of first-order autoregressive process with uncorrelated AR (1) and long-range correlated CAR (1) Gaussian innovations as a function of the process parameter ($\theta$). In the light of recent findings \cite{jano}, we discuss the choice of CAR (1) in modeling daily temperature records. We demonstrate that while CAR (1) is able to capture linear correlations it is unable to capture nonlinear (volatile) correlations in daily temperature records.
Lattice expansion and non-collinear to collinear ferrimagnetic order in MnCr$_2$O$_4$ nanoparticle
R. N. Bhowmik,R. Ranganathan,R. Nagarajan
Physics , 2005, DOI: 10.1103/PhysRevB.73.144413
Abstract: We report magnetic behaviour of MnCr$_2$O$_4$, which belongs to a special class of spinel, known as chromite. Bulk MnCr$_2$O$_4$ shows a sequence of magnetic states, which follows paramagnetic (PM) to collinear ferrimagnetic (FM) state below T$_C$ $\sim$ 45 K and collinear FM state to non-collinear FM state below T$_S$ $\sim$ 18 K. The non-collinear spin structure has been modified on decreasing the particle size, and magnetic transition at T$_S$ decreases in nanoparticle samples. However, ferrimagnetic order is still dominating in nanoparticles, except the observation of superparamagnetic like blocking and decrease of spontaneous magnetization for nanoparticle. This may, according to the core-shell model of ferrimagnetic nanoparticle, be the surface disorder effect of nanoparticle. The system also show the increase of T$_C$ in nanoparticle samples, which is not consistent with the core-shell model. The analysis of the M(T) data, applying spin wave theory, has shown an unusual Bloch exponent value 3.35 for bulk MnCr$_2$O$_4$, which decreases and approaches to 1.5, a typical value for any standard ferromagnet, with decreasing the particle size. MnCr$_2$O$_4$ has shown a few more unusual behaviour. For example, lattice expansion in nanoparticle samples. The present work demonstrates the correlation between a systematic increase of lattice parameter and the gradual decrease of B site non-collinear spin structure in the light of magnetism of MnCr$_2$O$_4$ nanoparticles.
Particle size effects in the antiferromagnetic spinel CoRh$_2$O$_4$
R. N. Bhowmik,R. Nagarajan,R. Ranganathan
Physics , 2002,
Abstract: We report the particle size dependent magnetic behaviour in the antiferromagnetic spinel CoRh2O4. The nanoparticles were obtained by mechanical milling of bulk material, prepared under sintering method. The XRD spectra show that the samples are retaining the spinel structure. The particle size decreases from 70 nm to 16 nm as the milling time increases from 12 hours to 60 hours. The magnetic measurements suggest that the antiferromagnetic ordering at T$_N$ $\approx$ 27K exists in bulk as well as in nanoparticle samples. However, the magnitude of the magnetization below T$_N$ increases with decreasing particle size.
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