Browsing by Author "K. Ramalakshmi"

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Assessment of toxicity and biochemical mechanisms underlying the insecticidal activity of chemically characterized Boswellia carterii essential oil against insect pest of legume seeds
(Academic Press Inc., 2017) S. Kiran; Anupam Kujur; Laluram Patel; K. Ramalakshmi; Bhanu Prakash
The present study was undertaken to investigate the insecticidal activity of chemically characterized Boswellia carterii essential oil (EO) and its mode of action against the pulse beetle Callosobruchus chinensis and C. maculatus. GC–MS analysis depicted α-thujene (69.16%), α-Pinene (7.20) and α-Phellandrene (6.78%) as the major components of test EO. EO exhibited absolute toxicity at 0.10 μl/ml air against both C. chinensis and C. maculatus following 24 h exposure. EO caused a significant reduction in oviposition and further reproductive development at LC50 doses (0.050 μl/ml to 0.066 μl/ml in air). Compared to control, a significant elevation in ROS level accompanied with impairment in enzymatic (SOD and CAT) and non-enzymatic (GSH/GSSH) antioxidant defense system has been observed in EO exposed insect pest. However, EO has no significant effect on in vivo AChE activity. An absolute protection of Vigna radiata seeds samples exposed to EO at LC90 doses was observed without affecting seed germination. The findings revealed that the B. carterii EO has strong insecticidal potential, hence, it could be recommended as a biorational alternative to synthetic insecticides. © 2017 Elsevier Inc.
Exploration of an innovative geometric parameter based on performance enhancement for foot print recognition
(IOS Press, 2020) V.D. Ambeth Kumar; S. Malathi; R. Venkatesan; K. Ramalakshmi; K. Vengatesan; Weiping Ding; Abhishek Kumar
Foot print, a distinct parameter, is commonly associated with biometrics. Though several methods have been developed in the field of automated biometric based identification, foot print recognition has different characteristics and plays a pivotal role for identification. In this modern world, it is invariably required to have enhanced security and footprint is one such biometric system which is useful for providing authentication and identification. Footprint is also gaining popularity as a technology to identify new born babies at hospitals. The continuous growth in human population necessitates the absolute need for unique identification technique. Recently, there are several incidences of security breach in hospitals where improper tagging of babies lead to child theft and child mismatch. The main objective of this work is to identify a new foot parameter by using two newly proposed algorithms, which helps in better recognition of the foot image. The foot feature extraction methodologies and the procedure for image recognition have been briefly described. The proposed work also highlights the future work to be carried out in this aspect. © 2020 – IOS Press and the authors. All rights reserved