6,347 research outputs found

    Non-thermal atmospheric pressure plasma jet and its application for polymer treatment

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    Non-thermal atmospheric pressure plasma jet is a suitable source for polymer treatment. The main characteristic of this plasma jet is the remote operation and its scalable dimension, thus, allowing local treatment of 3D surfaces. In this work an atmospheric pressure DBD plasma jet has been constructed and the application of the plasma jet for polymer treatment is investigated

    IDENTIFIKASI SENYAWA METABOLIT SEKUNDER PADA TANAMAN RUMPUT KEBAR (Biophytum petersianum Klotzsch)

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    Grass crop kebar (Biophytum petersianum Klotzsch), included in family Oxalidaceae. This crop as according to it’s the name, of course grows either in region Kebar Tengah and Kebar Timur, glorious Manokwari Irian. Grass Kebar (Biophytum petersianum Klotzsch) many applied as drug \ud crop between it for uterine fertility, stomachache drug, back ache drug, laxative and tumor drug. \ud This research aim to know secodary metabolit types which implied in grass plant kebar (Biophytum petersianum Klotzsch). Research type applied is qualitative research having the character of descriptive. Material applied in this research is all part of crop Biophytum \ud petersianum Klotzsch which dry. In determination of secodary metabolit content type which implied in crop Biophytum petersianum Klotzsch applies method spot test while determination of secodary metabolit content type standing in reproduction at crop grass kebar (Biophytum \ud petersianum Klotzsch) applied method KLT (Thin layer chromatography) \ud Based on result of inferential research that in crop grass kebar (Biophytum petersianum Klotzsch), contains type secodary metabolit type Flavonoid, Fenolik and alkaloid,dan generation compound isoflavon that is daidzein

    Full design of fuzzy controllers using genetic algorithms

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    This paper examines the applicability of genetic algorithms (GA) in the complete design of fuzzy logic controllers. While GA has been used before in the development of rule sets or high performance membership functions, the interdependence between these two components dictates that they should be designed together simultaneously. GA is fully capable of creating complete fuzzy controllers given the equations of motion of the system, eliminating the need for human input in the design loop. We show the application of this new method to the development of a cart controller

    Orthogonal series estimation of the pair correlation function of a spatial point process

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    The pair correlation function is a fundamental spatial point process characteristic that, given the intensity function, determines second order moments of the point process. Non-parametric estimation of the pair correlation function is a typical initial step of a statistical analysis of a spatial point pattern. Kernel estimators are popular but especially for clustered point patterns suffer from bias for small spatial lags. In this paper we introduce a new orthogonal series estimator. The new estimator is consistent and asymptotically normal according to our theoretical and simulation results. Our simulations further show that the new estimator can outperform the kernel estimators in particular for Poisson and clustered point processes
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