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      • SCIESCOPUSKCI등재

        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.

      • KCI등재

        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.

      • KCI등재

        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.

      • KCI등재

        Copy Number Variation Burden on Asthma Subgenome in Normal Cohorts Identifies Susceptibility Markers

        Sangeetha Vishweswaraiah,Avinash M Veerappa,Padukudru A Mahesh,Sareh R Jahromi,Nallur B. Ramachandra 대한천식알레르기학회 2015 Allergy, Asthma & Immunology Research Vol.7 No.3

        Purpose: Asthma is a complex disease caused by interplay of genes and environment on the genome of an individual. Copy number variations (CNVs) are more common compared to the other variations that disrupt genome organization. The effect of CNVs on asthma subgenome has been less studied compared to studies on the other variations. We report the assessments of CNV burden in asthma genes of normal cohorts carried out in different geographical areas of the world and discuss the relevance of the observation with respect to asthma pathogenesis. Methods: CNV analysis was performed using Affymerix high-resolution arrays, and various bioinformatics tools were used to understand the influence of genes on asthma pathogenesis. Results: This study identified 61 genes associated with asthma and provided various mechanisms and pathways underlying asthma pathogenesis. CCL3L1, ADAM8, and MUC5B were the most prevalent asthma genes. Among them, CCL3L1 was found across all 12 populations in varying copy number states. This study also identified the inheritance of asthma-CNVs from parents to offspring creating the latent period for manifestation of asthma. Conclusions: This study revealed CNV burden with varying copy number states and identified susceptibility towards the disease manifestation. It can be hypothesized that primary CNVs may not be the initiating event in the pathogenesis of asthma and additional preceding mutations or CNVs may be required. The initiator or primary CNVs sensitize normal cohorts leading to an increased probability of accumulating mutations or exposure to allergic stimulating agents that can augment the development of asthma.

      • KCI등재

        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.

      • KCI등재

        Development of an Image Processing Algorithm for Smart CNC Machines

        Abhinav Gandhi,M. Sangeetha 대한전자공학회 2018 IEIE Transactions on Smart Processing & Computing Vol.7 No.3

        This paper presents the design and implementation of a computer vision algorithm for automating the painting process in furniture manufacturing. Woodworking computer numerical control (CNC) machines are limited in terms of the operations they can perform, are extremely power hungry due to heavy moving parts, and require human intervention. Automating processes in furniture making would help manufacturers procure on-demand furniture sales while maintaining zero inventory. This work deals with using computer vision to detect pieces of furniture on a CNC bed and painting them without human intervention.

      • KCI등재

        MB-FL: Macro-block Fuzzy Logic for Video Compression in Multimedia Applications

        B. Veerasamy,C. M. Sangeetha 한국지능시스템학회 2022 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.22 No.4

        Methods to reduce the iterations needed to process a given video stream are referred to as videocompression techniques. Videos consume a large amount of storage space on computationalsystems or handheld devices, and video compression is also used to lower the dimensionality ofdata owing to constraints on storage resources. In this study, we propose a macro block-basedfuzzy logic video compression (MB-FL) algorithm. The proposed approach uses a fuzzy-basedsearch to maintain pixel resolution, which is ideal for real-time streaming media and thusincreases PSNR and subjective quality. Compression is performed on repeated frames of datafiles via complex equations, and the repeating patterns are then substituted with smaller dataor coding fragments. Owing bandwidth limitations, compression is often necessary to transmitand receive content over network connections. Using a fuzzy membership function (MF), themultiscale aspect of our method evaluates the connection of individual components in thecurrent frame to those in the reference frame. The results of an experimental evaluation showthat the proposed approach significantly compressed files using a fuzzy-based search. Wecompared the performance of MB-FL with that of existing models to measure the quality ofcompressed video stream

      • KCI등재

        A Palm Vein Recognition System based on a Support Vector Machine

        Vijayakumar Ponnusamy,Abhijit Sridhar,Arun Baalaaji,M. Sangeetha 대한전자공학회 2019 IEIE Transactions on Smart Processing & Computing Vol.8 No.1

        Palm vein authentication is among the recent research in the field of access control applications. Because palm veins are tough to forge, they act as a reliable metric in security applications. Accurate extraction of palm veins is challenging in the presence of various dynamics, such as variant light conditions, variations in palm vein patterns from person to person, the cleanliness of the hand, etc. This paper presents a robust recognition process that makes use of a ridge filter for vein pattern extraction, and local binary patterns (LBP) for feature extraction. The ridge filter takes the major eigenvalue of the Hessian matrix, which contains the second-order derivative of the image pixels. The eigenvalue is then processed using LBP feature extraction from the vein patterns. Finally, a support vector machine is used for classification of subsequent images. The result shows that the system can provide accuracy of 89%, with a computation time of 0.423s. The false acceptance rate and false rejection rate were also evaluated as benchmark parameters, which show significantly good performance.

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