197 research outputs found

    Social interactions using an electronic rabbit

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    In this project we use an electronic rabbit called Karotz, created by French company Violet. The rabbits have the ability to connect autonomously to a WI-FI network. IN this project we use Karotz to record an audio log that will contain sounds of the environment. We also programmed a way for the rabbit to send audio to its other Karotz friend. We explored if Karotz can be used to help people stay in contact with each other and to feel less homesick

    MEASURES TO CONTROL ECOLOGICAL WEEDS IN VINEYARDS

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    ABSTRACTGrapevine (Vitis vinifera L.) is a widespread and highly valuable horticultural crop that has been cultivated for centuries as a source of fresh fruit, wine, juice and raisins. (Amelia Martins Delgado et al 2017., Matthew A. Jenks et al 2011., Stephen Skelton, 2007, Rombough, 2002).  Romania has one of the oldest wine making traditions in the world, its viticulture dating back more than 2000 years. Weed control is an important practice in vineyard management. Traditionally, the primary objectives for controlling weeds are to conserve soil moisture and reduce the competition for essential mineral nutrients required by the grapevines. Organic viticulture involves growing grapes without the use of industrially manufactured fertilizers (sometimes called, chemical fertilizers) and herbicides, pesticides, or fungicides for weed, pest and disease control

    Three-Event Energy Detection with Adaptive Threshold for Spectrum Sensing in Cognitive Radio Systems

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    Implementation of dynamic spectrum access (DSA) in cognitive radio (CR) systems requires the unlicensed secondary users (SU) to implement spectrum sensing to monitor the activity of the licensed primary users (PU). Energy detection (ED) is one of the most widely used methods for spectrum sensing in CR systems, and in this paper we present a novel ED algorithm with an adaptive sensing threshold. The three-event ED (3EED) algorithm for spectrum sensing is considered for which an accurate approximation of the optimal decision threshold that minimizes the decision error probability (DEP) is found using Newton’s method with forced convergence in one iteration. The proposed algorithm is analyzed and illustrated with numerical results obtained from simulations that closely match the theoretical results and show that it outperforms the conventional ED (CED) algorithm for spectrum sensing

    PREDICTIVE MAINTENANCE OF A FLEXIBLE PRODUCTION LINE IMPLEMENTED IN MATLAB

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    In the latest years, the need of new technologies in the industrial environment has increased due to the need of a more cost efficient, resilient, and sustainable production process. One of the main issues that is addressed in this research work is the lack of a technology that allows prediction and prevention of the breakdowns of a production line using digital models and artificial intelligence to take the best decisions based on real-time data. This paper presents a method for collecting data from the production line and feed these data to a database used by the Digital Twin model created in Matlab Predictive Maintenance Toolbox in which, based on this data, a decision about the maintenance activities required will be taken. This approach generates significant value by assisting maintenance engineers in pinpointing the precise timing for equipment maintenance. This capability directly contributes to reducing production line downtime and minimizing failures. Also, the Digital Twin model can be used to enable and test adjustments to the parameters of the production line equipment in order to determine the impact of this changes of the production process without interfering with the production process itself

    Cyber Physical Systems Oriented Robot Development Platform

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    AbstractThe development of systems, of various levels of complexity that can integrate physical with virtual components has become a priority for research in the context of emerging paradigms such as Cyber-Physical Systems or Internet for the Future. The authors propose a Robotic Development Platform architecture that integrates principles of Cyber-Physical Systems. The proposed architecture, is scalable, by facilitating the integration of different existing development and simulation tools and will allow robot systems to be tested in different environments, with different characteristics, and facilitate the integration of real world simulation with virtual environment simulation

    THE INFLUENCE OF STEAM ON SOME CHEMICAL SOIL PROPERTIES - REVIEW

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    Soil forms a thing mantle over the Eart¢s surface and acts as the interface between the atmosphere and lithosphere, the outermost shell of the Earth. It is a multiphase system, consisting of mineral material, plant roots, water and gases, and organic matter at various stages of decay (Bardgett R., 2005,). Soil temperature influence plant nutrients uptake through a multitude of chemical, physical and biological processes that intercat over wide range of spatial and temporal scales (BassiriRad H, 2005) Steaming is traditionally used in glasshouses to sterilise the soil and control both weeds and diseases prior to crop establishment. Steam is applied under pressure beneath metal pans forced down onto freshly formed beds for periods of 3-8 minutes. The steam raises the soil temperature to 70-100 °C killing most weed seeds to a depth of at least 10 cm. The increase in inorganic substances in soil due to steaming means an increased fertility as more nutrients become available for the plant (Bond et al., 2003

    THE OPTIMIZATION OF THE FORMULATION AND PRODUCTION BY EXTRUSION-SPHERONIZATION OF INERT PELLETS BASED ON MICROCRYSTALINE CELULOSE AND LACTOSE

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    The „design of experiment” approach to the manufacture of a product allows thesimultaneous study of formulation and process variables that significantly influence the quality of a finished product, by performing only a limited number of experiments. The aim of this study was to use design of experiment in order to optimize the laboratoryscale production by extrusion-spheronization of inert pellet cores consisting of a completely biodegradable, binary mixture of microcrystalline cellulose (MCC) and lactose (L). We have established the exact proportion of MCC, L and binder solution (a 2.5 % solution of polyvinylpyrrolidone, Kollidon K29/32 in water) and process variables (spheronization time and speed) required for the production of pellets with desired, known, preset characteristics, such as size distribution, circularity and flow behavior
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