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匹配条件: “N. Sridharan” ,找到相关结果约197498条。
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Food habits of dhole Cuon alpinus in Kalakad-Mundanthurai Tiger Reserve in Tamil Nadu, India
K. Muthamizh Selvan,Gokulakkannan. N,N. Sridharan
Asian Journal of Conservation Biology , 2013,
Abstract: Food habits of dhole Cuon alpinus studied in Kalakad-Mundanthurai Tiger Reserve from January 2010 to July 2010 by analyzing 78 scats. Ten prey species were consumed by dholes in which Sambar was consumed highest percentage (30.77%) followed by wild pig (23.08%) and lowest was Jungle fowl (0.063%). In terms of biomass contribution sambar was highest (78.70%) while jungle fowl was lowest contribution (3.85%). The total prey biomass consumed by dhole was 191.72 kg during our study period. This study will give basic information on food habits of dhole and also gives basic idea for better management strategies to protect this elegant carnivore.
A sharp lower bound for the Wiener index of a graph
R. Balakrishnan,N. Sridharan,K. V. Iyer
Computer Science , 2010,
Abstract: Given a simple connected undirected graph G, the Wiener index W(G) of G is defined as half the sum of the distances over all pairs of vertices of G. In practice, G corresponds to what is known as the molecular graph of an organic compound. We obtain a sharp lower bound for W(G) of an arbitrary graph in terms of the order, size and diameter of G.
Fuzzy clustering analysis to study geomagnetic coastal effects
M. Sridharan, N. Gururajan,A. M. S. Ramasamy
Annales Geophysicae (ANGEO) , 2005,
Abstract: The utility of fuzzy set theory in cluster analysis and pattern recognition has been evolving since the mid 1960s, in conjunction with the emergence and evolution of computer technology. The classification of objects into categories is the subject of cluster analysis. The aim of this paper is to employ Fuzzy-clustering technique to examine the interrelationship of geomagnetic coastal and other effects at Indian observatories. Data from the observatories used for the present studies are from Alibag on the West Coast, Visakhapatnam and Pondicherry on the East Coast, Hyderabad and Nagpur as central inland stations which are located far from either of the coasts; all the above stations are free from the influence of the daytime equatorial electrojet. It has been found that Alibag and Pondicherry Observatories form a separate cluster showing anomalous variations in the vertical (Z)-component. H- and D-components form different clusters. The results are compared with the graphical method. Analytical technique and the results of Fuzzy-clustering analysis are discussed here.
First simultaneous lidar observations of sodium layers and VHF radar observations of E-region field-aligned irregularities at the low-latitude station Gadanki
S. Sridharan, A. K. Patra, N. Venkateswara Rao,G. Ramkumar
Annales Geophysicae (ANGEO) , 2009,
Abstract: Simultaneous observations of atmospheric sodium (Na) made by a resonance lidar and E-region field-aligned-irregularities (FAI) made by the Indian MST radar, both located at Gadanki (13.5° N, 79.2° E) and horizontal winds acquired by a SKiYMET meteor radar at Trivandrum (8.5° N, 77° E) are used to investigate the relationship among sodium layer, FAI and neutral winds in the mesosphere and lower thermosphere region. The altitudes and descent rates of higher altitude (~95 km) Na layer and FAI agree quite well. The descending structures of the higher altitude Na layer and FAI are found to be closely related to the diurnal tidal phase structure in zonal winds observed over Trivandrum. At lower altitudes, the descent rate of FAI is larger than that of Na layer and zonal tidal phase. These observations support the hypothesis that the metallic ion layers are formed by the zonal wind shear associated with tidal winds and subsequently get neutralized to manifest in the form of descending Na layers. The descending FAI echoing layers are manifestation of the instabilities setting in on the ionization layer. In the present observations, the altitudes of occurrence of Na layer and FAI echoes being low, we surmise that it is quite possible that the FAI echoes are due to the descent of already formed irregularities at higher altitudes.
Performance improvement study of solar water heating system
P. Sivakumar,W. Christraj,M. Sridharan,N. Jayamalathi
Journal of Engineering and Applied Sciences , 2012,
Abstract: Heating water for domestic purpose is a simple and effective way of utilizing solar energy. Initial cost of solar water heating system is high. But we get zero green energy cost. This paper discusses the improving of the performance of a flat plate solar energy collector by changing the design parameters of the number of riser tubes and the arrangement of riser tubes in zig-zag pattern from the existing flat plat collector system. Experiments were conducted using copper tube in header and riser with different dimensions. The performance shows that the efficiency is 59.09% when increasing the number of riser tubes and its 62.90% in the zig-zag arrangement (Z- Configuration) of the riser tube. Now-a-days this system produces higher efficiency than the existing conventional flat plate collector.
Causal Relationship between Foreign Direct Investment and Growth: Evidence from BRICS Countries
Sridharan. P,Vijayakumar N,Chandra Sekhara Rao K
International Business Research , 2009, DOI: 10.5539/ibr.v2n4p198
Abstract: In this paper we examine the causal relationship between Foreign Direct Investment (FDI) and Growth of the BRICS countries. We employed Industrial Production Index (IPI) as a measure of Economic Growth. The stationarity of the data series are checked using Augmented Dickey Fuller (ADF) Test and tested for the existence of co-integration. Johansen Co-integration model found that the Brazil alone co-integrated among the selected countries at levels. The Vector Error Correction Model (VECM) employed to trace the existence of long run relationship. The results of VECM found that Growth leads FDI bi-directionally for Brazil, Russia and South Africa and FDI leads Growth uni-directionally for India and China respectively.
Effects of solar eclipse on the electrodynamical processes of the equatorial ionosphere: a case study during 11 August 1999 dusk time total solar eclipse over India
R. Sridharan,C. V. Devasia,N. Jyoti,Diwakar Tiwari
Annales Geophysicae (ANGEO) , 2003,
Abstract: The effects on the electrodynamics of the equatorial E- and F-regions of the ionosphere, due to the occurrence of the solar eclipse during sunset hours on 11 August 1999, were investigated in a unique observational campaign involving ground based ionosondes, VHF and HF radars from the equatorial location of Trivandrum (8.5° N; 77° E; dip lat. 0.5° N), India. The study revealed the nature of changes brought about by the eclipse in the evening time E- and F-regions in terms of (i) the sudden intensification of a weak blanketing ES-layer and the associated large enhancement of the VHF backscattered returns, (ii) significant increase in h' F immediately following the eclipse and (iii) distinctly different spatial and temporal structures in the spread-F irregularity drift velocities as observed by the HF radar. The significantly large enhancement of the backscattered returns from the E-region coincident with the onset of the eclipse is attributed to the generation of steep electron density gradients associated with the blanketing ES , possibly triggered by the eclipse phenomena. The increase in F-region base height immediately after the eclipse is explained as due to the reduction in the conductivity of the conjugate E-region in the path of totality connected to the F-region over the equator along the magnetic field lines, and this, with the peculiar local and regional conditions, seems to have reduced the E-region loading of the F-region dynamo, resulting in a larger post sunset F-region height (h' F) rise. These aspects of E-and F-region behaviour on the eclipse day are discussed in relation to those observed on the control day. Key words. Ionosphere (electric fields and currents; equatorial ionosphere; ionospheric irregularities)
Determinants of FDI in BRICS Countries: A panel analysis
Vijayakumar, N.,Sridharan P.,Rao, K. C. S.
International Journal of Business Science and Applied Management , 2010,
Abstract: This study examines the factors determining FDI inflows of BRICS countries using annual dataset from the period 1975 to 2007 (for Russia required data set is available from 1990 onwards). The study employs Panel data analysis and finds that the selected variables Market size, Labour cost, Infrastructure, Currency value and Gross Capital formation as the potential determinants of FDI inflows of BRICS countries. The Economic Stability and Growth prospects (measured by inflation rate and Industrial production respectively), Trade openness (measured by the ratio of total trade to GDP) are seems to be the insignificant determinant of FDI inflows of the BRICS countries. The empirical results are robust in general for alternative variables determining FDI flows.
Priority Based Load Balancing in Cloud for Data Intensive Applications
E. Iniya Nehru,S. Sujatha,P. Seethalakshmi,N. Sridharan
Journal of Artificial Intelligence , 2012,
Abstract: The number of Internet users is growing at an exponential rate every day. Large number of users tries to retrieve the data in many applications like examination results, which leads to very high load on a server. This also results in reduction of throughput and there is strong need for developing a system with an efficient load balancing algorithm to retrieve the intensive data within a reasonable response time. By the use of cloud technology, this can be achieved. Cloud Computing encompasses virtualization, distributed environment and provides on-demand services. The objective of this study was to balance the requests by identifying the IP address and use a predefined policy to retrieve the data from a distributed database environment using virtualization techniques.
Bootstrap Learning and Visual Processing Management on Mobile Robots
Mohan Sridharan
Advances in Artificial Intelligence , 2010, DOI: 10.1155/2010/765876
Abstract: A central goal of robotics and AI is to enable a team of robots to operate autonomously in the real world and collaborate with humans over an extended period of time. Though developments in sensor technology have resulted in the deployment of robots in specific applications the ability to accurately sense and interact with the environment is still missing. Key challenges to the widespread deployment of robots include the ability to learn models of environmental features based on sensory inputs, bootstrap off of the learned models to detect and adapt to environmental changes, and autonomously tailor the sensory processing to the task at hand. This paper summarizes a comprehensive effort towards such bootstrap learning, adaptation, and processing management using visual input. We describe probabilistic algorithms that enable a mobile robot to autonomously plan its actions to learn models of color distributions and illuminations. The learned models are used to detect and adapt to illumination changes. Furthermore, we describe a probabilistic sequential decision-making approach that autonomously tailors the visual processing to the task at hand. All algorithms are fully implemented and tested on robot platforms in dynamic environments. 1. Introduction An open grand challenge in the field of robotics is to enable widespread deployment of robots in the real world, where they can operate autonomously and collaborate with humans. Addressing this grand challenge would in turn require answers to the following major questions. (i)Autonomous Learning and Adaptation. How to enable a robot to autonomously learn models of environmental features based on sensory input, detect environmental changes, and adapt the learned models in response to such changes?(ii)Processing Management. Given multiple sources of information, which bits of information should be processed, and what processing should be performed in order to achieve a desired goal reliably and efficiently?(iii)Multiagent Coordination. How to enable a team of robots, each with possibly different capabilities and constraints, to collaborate robustly towards a shared objective despite noisy sensing and communication? In this paper, the focus is primarily on developing probabilistic methods for Autonomous Learning and Adaptation, and for Processing Management. We propose probabilistic methods that enable a robot to use sensory inputs to learn environmental models and respond to environmental changes. Furthermore, given multiple sources of information, the robot autonomously tailors the sensory processing to the
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