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- 저자 : S.J.Thiruvengadam (검색결과 3 건)
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Chung, I. M.,Rajakumar, G.,Lee, J. H.,Kim, S. H.,Thiruvengadam, M. Springer International 2017 Applied microbiology and biotechnology Vol.101 No.13
<P>Eclipta prostrata belongs to a family of medicinal plants (Asteraceae) and plays a role in the treatment of several diseases, including infectious hepatitis, snake venom poisoning, gastritis, and respiratory diseases such as a cough and asthma. A number of compounds, including thiophene derivatives, steroids, triterpenes, flavonoids, polyacetylenes, polypeptides, and coumestans, have been isolated from E. prostrata. The plant functional compounds can act as reducing agent in the field of nanoparticle synthesis. The extracts of E. prostrata are widely used for green biosynthesis of various metal and metal oxide nanoparticles, nanoparticles, which showed a potential for pharmaceutical, biotechnological, and biomedical applications. Establishment of a efficient in vitro regeneration and genetic transformation method of E. prostrata is a vital prerequisite for application of biotechnology in order to improve secondary metabolite yields. The present mini-review discusses its pharmacological profile, chemical constituents, biotechnological, and ethnomedical uses, mainly focusing on antimyotoxic, antihemorrhagic, antiproliferative, antioxidant, antitumor, antihyperglycemic, antidementia, antimicrobial, antihyperlipidemic, antivenom, anti-HIV, and larvicidal activities, so that the pharmaceutical potential of the plant can be better evaluated. The mini review, providing up-to-date phytochemical and other information on E. prostrata, will serve a reference for further studies.</P>
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Outage Analysis of OFDM-Based Cognitive AF Relay Network in the presence of Narrowband Interference
Samikkannu Rajkumar,V.N.SenthilKumaran,S.J.Thiruvengadam 한국전자통신연구원 2015 ETRI Journal Vol.37 No.3
Orthogonal frequency-division multiplexing (OFDM) is one of the most widely used technologies in current wireless communication systems and standards. Cognitive radio (CR) provides a robust solution to the problem of spectrum congestion as it offers opportunistic usage of frequency bands that are not occupied by primary users. Due to the underlying sensing, spectrum shaping, scaling, and interoperable capabilities of OFDM, it has been adapted as a best transmission technology for CR wireless systems. However, the performance of an OFDM-based CR wireless system is affected by the existence of narrowband interference (NBI) from other users. Further, due to carrier frequency offset in NBI sources, NBI energy may spread over all subcarriers of an OFDM signal. In this paper, a fixed Amplify-and-Forward (AF) relay that operates at a frequency band that is different from that of direct mode is introduced to suppress the effect of NBI. Analytical expressions are derived for outage probability in direct, AF-relay, and incremental relaying modes. The outage performance of the proposed AF relay–based CR network is proven to be better than that of direct mode.
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BLUE-Based Channel Estimation Technique for Amplify and Forward Wireless Relay Networks
M.PremKumar,V.N.SenthilKumaran,S.J.Thiruvengadam 한국전자통신연구원 2012 ETRI Journal Vol.34 No.4
The best linear unbiased estimator (BLUE) is most suitable for practical application and can be determined with knowledge of only the first and second moments of the probability density function. Although the BLUE is an existing algorithm, it is still largely unexplored and has not yet been applied to channel estimation in amplify and forward (AF)-based wireless relay networks (WRNs). In this paper, a BLUE-based algorithm is proposed to estimate the overall channel impulse response between the source and destination of AF strategy-based WRNs. Theoretical mean square error (MSE) performance for the BLUE is derived to show the accuracy of the proposed channel estimation algorithm. In addition, the Cramér-Rao lower bound (CRLB) is derived to validate the MSE performance. The proposed BLUE channel estimation algorithm approaches the CRLB as the length of the training sequence and number of relays increases. Further, the BLUE performs better than the linear minimum MSE estimator due to the minimum variance characteristic exhibited by the BLUE, which happens to be a function of signal-to-noise ratio.
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