Hospital Record Search using RDF based Information Retrieval

K. Sangeetha,S. Santhiya 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.8

In Today’s World, the usage of Web is increased in a very fast manner. The User who is surfing the Web always wants to extract the meaningful information from the resources. As the number of user increased, the Web is diffusing day-by- day. Due to this diffusion, there is enormous lacking in retrieving the relevant information. To overcome this, Semantic Web Technologies such as Resource Description Framework along with Document Object Model are used to bring the clear answers to user queries by taking advantage of the availability of precise semantics of information in the context of the search engines. The Resource Description Framework (RDF) is defined by the World Wide Web Consortium (W3C) which is one of the enrich entity which is mainly used to encode the meaning of the data.

Experimental investigation in the selection of blank material during deep drawing process using finite element analysis

Sangeetha N,Brathikan V M,Nitheeshwar R K,Jayabalu S 한양대학교 세라믹연구소 2022 Journal of Ceramic Processing Research Vol.23 No.4

Deep Drawing is the forming process where the shape of the punch is projected to the blank by the application of force withthe help of a die and blank holder. Obtaining a quality product in the deep drawing process mainly depends on thecharacteristics of blank materials. The deep drawing process influences the process parameters like blank holder force,coefficient of friction for the lubricants, etc. The deep drawing process was conducted using a hydraulic press machine witha maximum capacity of 50 Newton for blank materials like cold roll steel, stainless steel, aluminum alloys, and tungsten. Theblank force required for the deep drawing process was investigated on various materials and analysed with the materialproperties. The Finite Element method is used to check the quality of the deep drawing product by applying various forcesobtained in the experimental methods. Shear Stress and Strain obtained in the product during the deep drawing process werestudied and verified with the analytical stress and strain. It was found that ductile material yields a very good drawing ratiowhereas brittle material such as Titanium has very little drawing ratio which could be further enhanced by the combinationof reinforcement or a mixture of allied metals.

High‑performance electric double‑layer capacitor fabricated with nanostructured carbon black‑paint pigment as an electrode

V. Samynaathan,Sangeetha R. Iyer,K. Shree Kesavan,M. S. Michael 한국탄소학회 2021 Carbon Letters Vol.31 No.1

Engineering the microstructure of the carbonaceous materials is a promising strategy to enhance the capacitive performance of supercapacitors. In this work, nanostructured Black Pearl (1500 BP) carbon which is a conductive carbon being commercially used in printing rolls, conductive packaging, conductive paints, etc. is analyzed for its feasibility as an electrode material for Electric Double-Layer Capacitors (EDLCs). To achieve that commercial Black Pearl (BP), carbon is treated with mild acid H3PO4 to remove the impurities and enhance the active sites by regulating the growth of agglomerates and creating micropores in the nano-pigments. Generally, the coalescence of nanoparticles owing to their intrinsic surface energy has tendency to create voids of different sizes that act like meso/micropores facilitating the diffusion of ions. The electrochemical performance of BP carbon before and after chemical activation is investigated in aqueous ( H2SO4, KOH and KCl) and a non-aqueous electrolyte (1 M TEMABF4 in acetonitrile) environment employing different electrochemical techniques such as Cyclic Voltammetry (CV), Galvanostatic charge/discharge (GCD) and Electrochemical Impendence Spectroscopy (EIS). The chemically activated BP carbon delivers the highest specific capacitance of ∼156 F g?1 in an aqueous electrolyte, 6 M KOH. The highest specific power, ~ 15.3 kW kg?1 and specific energy, 14.6 Wh kg?1 are obtained with a symmetric capacitor employing non-aqueous electrolyte because of its high working potential, 2.5 V.

In vitro Plant Regeneration from Apical Bud and Nodal Segments of Anthocepahalus Cadamba – An important sacred and medicinal tree

M Kavitha,Kalaimagal, S Mercy,N Sangeetha,D Ganesh 강원대학교 산림과학연구소 2009 Journal of Forest Science Vol.25 No.2

Multiple shoot induction and plant regeneration using apical bud and nodal explants of 100 year old tree of Anthocephalus cadamba, an important sacred and medicinal tree in India was achieved for the first time. Aseptic explants cultured in Murashige and Skoog (MS) medium augmented with different concentrations of BAP (0.1, 0.5, 1.0, 2.5, 5.0 and 10 mg/l), when maintained for 60 days, healthy shoots were induced in presence of BAP (1 mg/l). Lower concentrations of BAP (0.1 - 0.5 mg/l) induced only one shoot per explant. Increase in number of shoots per explant was observed in presence of higher concentrations of BAP (2.5, 5.0 and 10 mg/l). However, elongation of shoots was completely inhibited. Bud break and shoot regeneration was largely associated with seasonal factors. Apical buds cultured during June to August exhibited early bud break within two weeks of initial culture. In rest of the months, bud break and shoot regeneration was very slow irrespective of the various concentrations of BAP used in the medium. Explants sourced from three different maturity levels of shoots indicated that actively growing shoots from the mother plant with 1 – 2 nodal segments was more suitable for culture initiation than the explants collected from mature shoots at dormant stage. Regenerated shoots with 2 – 3 pairs of leaves when transferred to half strength MS medium fortified with IBA (1 mg/l), 60% of the shoots induced healthy roots, indicating the possibility of large scale micropropagation.

In vitro Plant Regeneration from Apical Bud and Nodal Segments of Anthocepahalus Cadamba - An important sacred and medicinal tree

Kavitha, M.,Kalaimagal, I.,Mercy, S.,Sangeetha, N.,Ganesh, D. Institute of Forest Science 2009 Journal of Forest Science Vol.25 No.2

Multiple shoot induction and plant regeneration using apical bud and nodal explants of 100 year old tree of Anthocephalus cadamba, an important sacred and medicinal tree in India was achieved for the first time. Aseptic explants cultured in Murashige and Skoog (MS) medium augmented with different concentrations of BAP (0.1, 0.5, 1.0, 2.5, 5.0 and 10 mg/l), when maintained for 60 days, healthy shoots were induced in presence of BAP (1 mg/l). Lower concentrations of BAP (0.1 - 0.5 mg/l) induced only one shoot per explant. Increase in number of shoots per explant was observed in presence of higher concentrations of BAP (2.5, 5.0 and 10 mg/l). However, elongation of shoots was completely inhibited. Bud break and shoot regeneration was largely associated with seasonal factors. Apical buds cultured during June to August exhibited early bud break within two weeks of initial culture. In rest of the months, bud break and shoot regeneration was very slow irrespective of the various concentrations of BAP used in the medium. Explants sourced from three different maturity levels of shoots indicated that actively growing shoots from the mother plant with 1 - 2 nodal segments was more suitable for culture initiation than the explants collected from mature shoots at dormant stage. Regenerated shoots with 2 - 3 pairs of leaves when transferred to half strength MS medium fortified with IBA (1 mg/l), 60% of the shoots induced healthy roots, indicating the possibility of large scale micropropagation.

An Explainable Deep Learning Approach for Oral Cancer Detection

Babu P. Ashok,Rai Anjani Kumar,Ramesh Janjhyam Venkata Naga,Nithyasri A.,Sangeetha S.,Kshirsagar Pravin R.,Rajendran A.,Rajaram A.,Dilipkumar S. 대한전기학회 2024 Journal of Electrical Engineering & Technology Vol.19 No.3

With a high death rate, oral cancer is a major worldwide health problem, particularly in low- and middle-income nations. Timely detection and diagnosis are crucial for efective prevention and treatment. To address this challenge, there is a growing need for automated detection systems to aid healthcare professionals. Regular dental examinations play a vital role in early detection. Transfer learning, which leverages knowledge from related domains, can enhance performance in target categories. This study presents a unique approach to the early detection and diagnosis of oral cancer that makes use of the exceptional sensory capabilities of the mouth. Deep neural networks, particularly those based on automated systems, are employed to identify intricate patterns associated with the disease. By combining various transfer learning approaches and conducting comparative analyses, an optimal learning rate is achieved. The categorization analysis of the reference results is presented in detail. Our preliminary fndings demonstrate that deep learning efectively addresses this challenging problem, with the Inception-V3 algorithm exhibiting superior accuracy compared to other algorithms.