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您的检索式：作者名="G.Ravikumar"
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| 1 | In vitro antibacterial and free radical scavenging activity of green hull of Juglans regia显示文摘Antioxidant supplements from plants are vital to count the oxidative damage in cells.We assessed the antioxidants and antibacterial activity of green hull of Juglans regia in this study.According to our results the maximum antibacterial activity was observed in ethanolic extract when compared to other extract.So,the ethanolic extract was studied for antioxidant activity which exhibited high antiradical activity against DPPH,hydroxyl,and nitric oxide radicals.In conclusion,green hull of J.regia showed strong reducing power activity and total antioxidant capacity.The results justify the therapeutic application of plant in the indigenous system of medicine. | Pardeep Sharma G.Ravikumar M.Kalaiselvi D.Gomathi C.Uman | 2013 | Journal of Pharmaceutical Analysis2013，3，4： | 6 |
| 2 | 家蚕AFLP分子进化研究显示文摘为进一步探讨家蚕的起源分化和其系统发育,为家蚕遗传育种提供科学依据,利用AFLP技术和统计学分析对具有代表性的9个不同的地区家蚕品种进行了分子系统学研究。家蚕的DNA多态性分析及其聚类分析结果进一步证实家蚕可能起源于不同地方(多起源中心)、由多种生态类型(包括一化、二化、多化)混杂的野桑蚕驯化而来,其驯化之初就已拥有一化、二化、多化的遗传背景,而且一化和二化品种间的遗传距离小,分化程度小,表明它们应该有共同的起源中心。 | 周泽扬 李斌 G.Ravikumar 全国兴 田村俊树 | 2004 | 西南农业学报2004，17，2： | 3 |
| 3 | Neural Cryptography with Fog Computing Network for Health Monitoring Using IoMT显示文摘Sleep apnea syndrome(SAS)is a breathing disorder while a person is asleep.The traditional method for examining SAS is Polysomnography(PSG).The standard procedure of PSG requires complete overnight observation in a laboratory.PSG typically provides accurate results,but it is expensive and time consuming.However,for people with Sleep apnea(SA),available beds and laboratories are limited.Resultantly,it may produce inaccurate diagnosis.Thus,this paper proposes the Internet of Medical Things(IoMT)framework with a machine learning concept of fully connected neural network(FCNN)with k-near-est neighbor(k-NN)classifier.This paper describes smart monitoring of a patient’s sleeping habit and diagnosis of SA using FCNN-KNN+average square error(ASE).For diagnosing SA,the Oxygen saturation(SpO2)sensor device is popularly used for monitoring the heart rate and blood oxygen level.This diagnosis information is securely stored in the IoMT fog computing network.Doctors can care-fully monitor the SA patient remotely on the basis of sensor values,which are efficiently stored in the fog computing network.The proposed technique takes less than 0.2 s with an accuracy of 95%,which is higher than existing models. | G.Ravikumar K.Venkatachalam Mohammed A.AlZain Mehedi Masud Mohamed Abouhawwash | 2023 | Computer Systems Science & Engineering2023，44，1： | 0 |
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