1,762 research outputs found

    Software Enginering Technique For Modularity Property In Component-Based Software Architecture

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    Robots are widely used in surgical rooms of the main hospitals. The most common surgical robot is the Intuitive "Da Vinci" but other new high-tech devices are spreading to help the surgeons in their medical tasks. Such kind of devices are useful to decrees the surgeons physical and psychological stress and increasing the overall safety. The surgical room is a complex environment with a lot of heterogeneous devices made by dierent producers. Currently the devices work independently but in order to increase the functionalities to give to the users is necessary to think how to connect all of them

    Ontology-based modular architecture for surgical autonomous robots

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    In this work, we present a workflow for the design and the deployment of an architecture for the ex ecution of a surgical task (i.e. tool positioning on the correct trajectory for needle insertion), where the architect ure’s components skeleton are automatically derived from ontological description. We formalized basic knowledge in a way that is readable and processable by both man and machine

    Optimasi Portofolio Resiko Menggunakan Model Markowitz MVO Dikaitkan dengan Keterbatasan Manusia dalam Memprediksi Masa Depan dalam Perspektif Al-Qur`an

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    Risk portfolio on modern finance has become increasingly technical, requiring the use of sophisticated mathematical tools in both research and practice. Since companies cannot insure themselves completely against risk, as human incompetence in predicting the future precisely that written in Al-Quran surah Luqman verse 34, they have to manage it to yield an optimal portfolio. The objective here is to minimize the variance among all portfolios, or alternatively, to maximize expected return among all portfolios that has at least a certain expected return. Furthermore, this study focuses on optimizing risk portfolio so called Markowitz MVO (Mean-Variance Optimization). Some theoretical frameworks for analysis are arithmetic mean, geometric mean, variance, covariance, linear programming, and quadratic programming. Moreover, finding a minimum variance portfolio produces a convex quadratic programming, that is minimizing the objective function ðð¥with constraintsð ð 𥠥 ðandð´ð¥ = ð. The outcome of this research is the solution of optimal risk portofolio in some investments that could be finished smoothly using MATLAB R2007b software together with its graphic analysis

    Penilaian Kinerja Keuangan Koperasi di Kabupaten Pelalawan