327 research outputs found

    FOPID Controlled Shunt Active Filter in IEEE Thirty Bus System with Improved Dynamic Time Response

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    This paper aims on improving the dynamic time response of a Wind Energy Conversion System (WECS) connected to IEEE Thirty Bus System(TBS) using Permanent Magnet Synchronous Generator (PMSG) in closed loop controlled Active Power Filter with FOPID. The simulation results are presented to find the effect of shunt active filter using FOPID controller. Open Loop Thirty Bus System (OLTBS) with change in load is simulated. The simulation results with PI and FOPID Controller based SAF are compared and the corresponding time-domain parameters are presented. The results indicate that FOPID Controller system has better response than PI controlled system

    EFFECT OF CHROMIUM ON GROWTH AND YIELD OF Vigna mungo (L.)

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    This study was conducted to find out the effect of different concentrations (control 5, 10, 25, 50, 100 and 200 mg/l) of chromium on growth, yield of black gram (Vigna mungo L.). Pot culture experiments were carried out with black gram seeds with different concentrations of chromium solution. The morphological growth parameters were recorded at 15, 30, 45 and 60 days old chromium treated plants. The yield was recorded at the time of harvest. The study revealed that, the increase in chromium reduce the growth and and yield in black gram plants

    EFFECT OF CHROMIUM ON GROWTH AND YIELD OF Vigna mungo (L.)

    Get PDF
    This study was conducted to find out the effect of different concentrations (control 5, 10, 25, 50, 100 and 200 mg/l) of chromium on growth, yield of black gram (Vigna mungo L.). Pot culture experiments were carried out with black gram seeds with different concentrations of chromium solution. The morphological growth parameters were recorded at 15, 30, 45 and 60 days old chromium treated plants. The yield was recorded at the time of harvest. The study revealed that, the increase in chromium reduce the growth and and yield in black gram plants

    Biodiversity of Medicinal Plants in Thudaripettai Village, Nagapattinam District, Tamil Nadu, India

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    The medicinal plants have received more attention among researchers to treat various diseases and disorders. This study was aimed to record the various medicinal plants present in Thudaripettai Village situated in Tharangambadi Taluk, Nagapattinam district of Tamil Nadu. A total of 60 plant species belonging to 35 families were reported with their medicinal values. These results will provide information about medicinal plants and methods of utilization of these plants to cure various diseases of mankind. Survey of the information of medicinal plants used by the villagers were collected and arranged alphabetically followed by common name, vernacular name, family name, parts of use, methods of uses, medicinal uses and their habit. The information is very much useful for further research which will lead to the discovery of new bioactive compounds from the above medicinal plants

    3-(2-Meth­oxy­naphthalen-1-yl)-2-benzofuran-1(3H)-one

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    The asymmetric unit of the title compound, C19H14O3, contains two crystallographically independent mol­ecules in which the dihedral angles between the naphthalene and benzofuran ring systems are 76.49 (7) and 86.17 (7)°. In the crystal, mol­ecules are linked by inter­molecular C—H⋯O hydrogen-bonding inter­actions into chains running parallel to the a axis. In addition, the crystal packing is stabilized by C—H⋯π inter­actions

    1-(2-Bromo­acet­yl)-3-methyl-2,6-diphenyl­piperidin-4-one

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    In the title compound, C20H20BrNO2, the piperidone ring adopts a boat conformation. The phenyl rings are oriented at dihedral angles of 97.8 (2) and 96.0 (1)° with respect to the best plane through the piperidine ring. The dihedral angle between the two phenyl rings is 49.7 (1)°. In the crystal, bifurcated C—H⋯O hydrogen bonds form a R 2 1(7) ring motif, linking the mol­ecules into centrosymmetric dimers

    Ethyl 4-hy­droxy-2,6-diphenyl-1-(2-thio­morpholino­acet­yl)-1,2,5,6-tetra­hydro­pyridine-3-carboxyl­ate

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    In the title compound, C26H30N2O4S, the thio­morpholine ring adopts a chair conformation whereas the tetra­hydro­pyridine ring is in a half-chair conformation. The dihedral angle between the two phenyl rings is 33.3 (2)°. A strong intra­molecular O—H⋯O hydrogen bond generates an S(6) motif. In the crystal, mol­ecules are linked by inter­molecular C—H⋯O hydrogen bonds, generating a ribbon-like structure propagating along the a axis

    Subclasses of starlike functions associated with a fractional calculus operator involving Caputo's fractional differentiation

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    In this paper, we introduce a new class of functions which are analytic and univalent with negative coefficients defined by using certain fractional operators descibed in the Caputo sense and obtain coefficient estimates, extreme points, the radii of close to convexity, starlikeness and convexity and neighbourhood results for functions in this new class. In  particular, we obtain modified Hadamard product results for the function f(z) belongs to the new class in the unit disc

    Naïve Bayesian Classification Based Glioma Brain Tumor Segmentation Using Grey Level Co-occurrence Matrix Method

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    Brain tumors vary widely in size and form, making detection and diagnosis difficult. This study's main aim is to identify abnormal brain images., classify them from normal brain images, and then segment the tumor areas from the categorised brain images. In this study, we offer a technique based on the Nave Bayesian classification approach that can efficiently identify and segment brain tumors. Noises are identified and filtered out during the preprocessing phase of tumor identification. After preprocessing the brain image, GLCM and probabilistic properties are extracted. Naive Bayesian classifier is then used to train and label the retrieved features. When the tumors in a brain picture have been categorised, the watershed segmentation approach is used to isolate the tumors. This paper's brain pictures are from the BRATS 2015 data collection. The suggested approach has a classification rate of 99.2% for MR pictures of normal brain tissue and a rate of 97.3% for MR images of aberrant Glioma brain tissue. In this study, we provide a strategy for detecting and segmenting tumors that has a 97.54% Probability of Detection (POD), a 92.18% Probability of False Detection (POFD), a 98.17% Critical Success Index (CSI), and a 98.55% Percentage of Corrects (PC). The recommended Glioma brain tumour detection technique outperforms existing state-of-the-art approaches in POD, POFD, CSI, and PC because it can identify tumour locations in abnormal brain images
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