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您的检索式：作者名="A.Bharathi"
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| 1 | Catalytic activity of TiO_2 nanoparticles in the synthesis of some2,3-disubstituted dihydroquinazolin-4(1H)-ones显示文摘Green chemistry is playing an important role for synthesizing organic compounds,due to its eco-friendly nature and low cost.In green chemistry,metal nanoparticles exhibited some useful physical and chemical properties(catalytic activity).Due to its diverse properties,nanoparticles can be utilized as a catalyst in various organic reactions.Recent research has been directed towards the utilization of ecofriendly and bio-friendly plant materials in nanoparticles synthesis.In our present work,TiO_2nanoparticles(TiO_2 NPs) were synthesized using Annona squamosa peel extract and their catalytic applications were studied on the 2,3-disubstituted dihydroquinazolin-4(1H)-one synthesis.Synthesized compounds were confirmed using FT-IR,~1H NMR,^(13)C NMR and GC-MS analyses. | A.Bharathi Selvaraj Mohana Roopan Amir Kajbafvala R.D.Padmaja M.S.Darsana G.Nandhini Kumari | 2014 | Chinese Chemical Letters2014，25，2： | 1 |
| 2 | Modelling a Learning-Based Dynamic Tree Routing Model for Wireless Mesh Access Networks显示文摘Link asymmetry in wireless mesh access networks(WMAN)of Mobile ad-hoc Networks(MANETs)is due mesh routers’transmission range.It is depicted as significant research challenges that pose during the design of network protocol in wireless networks.Based on the extensive review,it is noted that the substantial link percentage is symmetric,i.e.,many links are unidirectional.It is identified that the synchronous acknowledgement reliability is higher than the asynchronous message.Therefore,the process of establishing bidirectional link quality through asynchronous beacons underrates the link reliability of asym-metric links.It paves the way to exploit an investigation on asymmetric links to enhance network functions through link estimation.Here,a novel Learning-based Dynamic Tree routing(LDTR)model is proposed to improve network performance and delay.For the evaluation of delay measures,asymmetric link,interference,probability of transmission failure is evaluated.The proportion of energy consumed is used for monitoring energy conditions based on the total energy capacity.This learning model is a productive way for resolving the routing issues over the network model during uncertainty.The asymmetric path is chosen to achieve exploitation and exploration iteratively.The learning-based Dynamic Tree routing model is utilized to resolve the multi-objective routing problem.Here,the simulation is done with MATLAB 2020a simulation environment and path with energy-efficiency and lesser E2E delay is evaluated and compared with existing approaches like the Dyna-Q-network model(DQN),asymmetric MAC model(AMAC),and cooperative asymmetric MAC model(CAMAC)model.The simulation outcomes demonstrate that the anticipated LDTR model attains superior network performance compared to others.The average energy consump-tion is 250 J,packet energy consumption is 6.5 J,PRR is 50 bits/sec,95%PDR,average delay percentage is 20%. | N.Krishnammal C.Kalaiarasan A.Bharathi | 2023 | Computer Systems Science & Engineering2023，44，2： | 0 |
| 3 | Effect of Pesticides on Growth of Rhizobia and Their Host Plants During Symbiosis显示文摘Effect of various pesticides(insecticides,fungicides and herbicides)has been studied on growth and efficiency of symbiotic properties of 3 fast growing Rhizobuium sp.under green house conditions.The results reveales adverse effects on plant growth and nitrogen fixing capactity as measured by dry weight and totoal nitrogen content of plants infected with pesticide treated Rhizobium.Of the pesticides terbicides were found to be more effective on the above parameters than the insecticides and fungicides. | B.MADHAVI C.S.ANAND A.BHARATHI H.POLASA | 1993 | Biomedical and Environmental Sciences1993，6，1： | 0 |
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