14 research outputs found

    Security Enhanced Location-aided Level-based Disjoint Multipath Routing Algorithm for Mobile Ad Hoc Networks

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    In mobile ad hoc networks (MANET), the location-based multipath routing protocols involves less routing overhead compared to non-location-based protocols. This paper proposes two location-based algorithms, Enhanced Location-aided Level-based node Disjoint Multipath routing (ELLDMR) and Secure Location-aided Level-based node Disjoint Multipath routing (SLLDMR), to enhance the link lifetime and the security of the MANET. The objective of ELLDMR is to build multiple paths with non-critical nodes so that the lifetime of the routing path is significantly increased. It also hides the source, destination and path identity in intermediate nodes to avoid intrusion of routing attacks in the routing path. The SLLDMR is an enhancement over ELLDMR where it aims to overcome rushing attack and exhibit secure data transmission using two-level cryptographic processes. The performances of ELLDMR and SLLDMR are simulated using NS2 where it shows a minimum routing overhead, less end to end delay and high packet delivery compared to existing Location-aided Level-based node Disjoint Multipath routing (LLDMR) algorithm and Topology Hiding multipath protocol (TOHIP)

    Insight into the reproductive biology of euryhaline cyclopoid copepods Apocyclops dengizicus and Apocyclops royi

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    The present research work aimed to investigate the unexplored information about mating strategies and reproductive potential of two euryhaline cyclopoid species Apocyclops dengizicus and A. royi. Laboratory experiments on mating strategy and reproductive aspects such as the efficacy of females under different mating conditions, the reproductive potential of males, mating frequency, and the effect of starvation on survival and reproductive potential, were conducted and documented. The once-mated female and females pairing continuously with males favored higher reproductive potential. In the present study, the mate-pursuing males prefers to copulate with mature virgin females. The older female was unable to produce eggs even after the sperm discharge. The lifespan of both the Apocyclops species under different states of mating and unmated conditions showed considerable variation. Apocyclops dengizicus produced 7.92±0.57 pairs of spermatophores, while A. royi extruded 13.32±0.99 pairs of spermatophores during its lifespan. The results were analyzed and inferred; thus, high throughput was applied to reveal the understudied topics of these Apocyclops species to add considerable knowledge about its reproductive biology

    EXPERIMENTAL INVESTIGATION OF TEXTILE DYEING WASTEWATER TREATMENT BY ELECTROCOAGULATION AND ADVANCED OXIDATION PROCESS

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    JOURNAL OF FLUID AND HYDRAULIC ENGINEERING (JFHE) Volume 1, Issue 1, January-December 2020, pp. 1-9, Article ID: JFHE_01_01_001 Available online at https://iaeme.com/Home/issue/JFHE?Volume=1&Issue=1 EXPERIMENTAL INVESTIGATION OF TEXTILE DYEING WASTEWATER TREATMENT BY ELECTROCOAGULATION AND ADVANCED OXIDATION PROCESS A. Rajkumar Assistant Professor, Department of Civil Engineering, PSG College of Technology, Coimbatore-641 004, Tamilnadu, India R. Muthupriya Post Graduate student, M.E. Infrastructure Engineering, PSG College of Technology, Coimbatore-641 004, Tamilnadu, India Cite this Article: A.Rajkumar and R.Muthupriya, Experimental investigation of textile dyeing wastewater treatment by electrocoagulation and advanced oxidation process, Journal of Fluid and Hydraulic Engineering (JFHE), 2019, 10(1), pp. 1-9. DOI: https://doi.org/10.17605/OSF.IO/8R6N

    Security Enhanced Location-aided Level-based Disjoint Multipath Routing Algorithm for Mobile Ad Hoc Networks

    Get PDF
    In mobile ad hoc networks (MANET), the location-based multipath routing protocols involves less routing overhead compared to non-location-based protocols. This paper proposes two location-based algorithms, Enhanced Location-aided Level-based node Disjoint Multipath routing (ELLDMR) and Secure Location-aided Level-based node Disjoint Multipath routing (SLLDMR), to enhance the link lifetime and the security of the MANET. The objective of ELLDMR is to build multiple paths with non-critical nodes so that the lifetime of the routing path is significantly increased. It also hides the source, destination and path identity in intermediate nodes to avoid intrusion of routing attacks in the routing path. The SLLDMR is an enhancement over ELLDMR where it aims to overcome rushing attack and exhibit secure data transmission using two-level cryptographic processes. The performances of ELLDMR and SLLDMR are simulated using NS2 where it shows a minimum routing overhead, less end to end delay and high packet delivery compared to existing Location-aided Level-based node Disjoint Multipath routing (LLDMR) algorithm and Topology Hiding multipath protocol (TOHIP)

    Haematological parameters of Cyprinus carpio with reference to probiotic feed: A machine learning approach

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    The study aims to analyze the haematological parameters of Cyprinus carpio with reference to the formulation of the probiotic fortified feeds using a machine learning approach. C. carpio fed with pelletized feed, probiotic pelletized feed (5% Lysinibacillus macroides), probiotic pearl beads (5% L. macroides) and probiotic rice puff (5% L. macroides) for 60 days. At the end of the experiments, using blood samples, the haematological indices such as leucocytes, erythrocytes, hemoglobin, hematocrit and packed-cell-volume, were analyzed. Duncan’s Multiple Range Test showed that the haematological parameters in control feeding regimes significantly (P<0.05) were low compared with that of the probiotic feeding regimes. The data sets of different feeding regimes were classified using the machine learning method. In the present study, the classifiers like the Random Forest, the Linear Model, and the Decision Tree were employed. To identify the relationship between the features, correlation coefficient and dendrogram were applied. The results of the machine learning method showed high accuracy (98%) in random forest methods followed by the decision tree method. The correlation coefficient between the haematological indices recorded a positive value. But, calculated values of mean corpuscular volume, mean corpuscular hemoglobin and mean corpuscular haemoglobin concentration were either low positive or negatively correlated with other haematological indices. Based on the results, the Random Forest, Linear Model and Decision Tree Analysis might be considered for haematological classification of the fish haematological data set
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