61 research outputs found

    Designing LQR controllers for an active anti-roll bar system with a flexible frame model of a single unit heavy vehicle

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    Rollover accidents of heavy vehicles often cause serious consequences both in terms of vehicle and environmental damage as well the loss or injury of drivers, passengers and ordinary civilians. Currently, the active anti-roll bar system is considered as the most effective solution in enhancing vehicle roll stability. In this paper, we firstly investigated the role of a flexible frame of a single unit heavy vehicle in the rollover process. This approach is an important step forward in the research of the active anti-roll bar system. Then, the LQR control method is applied in designing controllers for the active anti-roll bar control system with this frame model. The active torque of the anti-roll bar system is considered as the control signal. The simulation results in the frequency and time domains with a double lane change maneuver show that the vehicle's roll stability is improved by over 30 % compared to a vehicle using a passive anti-roll bar system. © 2021 Budapest University of Technology and Economics. All rights reserved

    Poly 1,3-butylene adipate Reoplex (R) as high molecular weight plasticizer for PVC-based cling films - microstructure and number-average molecular weight studied by H-1 and C-13 NMR

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    International audienceReoplex(R) 346, a low number-average molecular weight ((M) over bar(n)) poly 1,3-butylene adipate-frequently used as plasticizer in PVC-based cling-films-was studied by H-1 and quantitative C-13 NMR. It was found that Reoplex(R) results from the linear polyesterification of adipic acid (A) by an excess of butane 1,3-diol (B) with a (A/B) molar ratio of 0.88 giving a polyester having a number-average degree of polymerization (n) and an absolute (M) over bar(n) of 15.7 and 1600 g/mol, respectively. As primary alcohol function is more reactive than secondary alcohol, Reoplex(R) chain-ends are made up of 28.6% of primary alcohol and 71.4% of secondary alcoho

    The factors affecting chemical use in aquaculture in the Central Coast Region of Vietnam

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    Using the econometric approach of Ordinary Least Squares, this study has identified the key factors affecting the use of inorganic chemicals in coastal aquaculture in South Central Vietnam. These factors included the amount of training and support policies for extensions and the level of participation by cooperative groups in aquaculture activities. The greatest impact factor to the use of inorganic chemicals in aquaculture was “Fishery Extension Support Policy Group” by −0.747. This value means that if the remaining variables do not change and this variable increased by one unit (meaning that an increasing in support including capital, machinery, the consultants, seed for aquaculture farmers), the use of chemicals in aquaculture sector will decrease 0.747 units. In contrast, the level of “participation in cooperative groups” in aquaculture in Vietnam was directly proportional, extended to the use of inorganic chemicals with a coefficient by 0.706. This result suggests that households participating in “cooperative group” aquaculture will tend to use more 70.6% inorganic chemicals than non-participating households. This suggests the need for corresponding policies to limit the usage of inorganic chemicals and antibiotics in aquaculture in the region in order to achieve the development goals of green growth and sustainability

    Evaluation de la clearance mucociliaire nasale et application en epidemiologie

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    Comite: Milieux physiques: AirSIGLEAvailable from Centre de Documentation Scientifique et Technique, CNRS, 26 rue Boyer, 75971 Paris Cedex 20 (France) / INIST-CNRS - Institut de l'Information Scientifique et TechniqueFRFranc

    Optimal visibility algorithms for binary images on the hypercube

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    Consider a n×n binary image. Given a direction D, the parallel visibility problem consists of determining for each pixel of the image the portion that is visible (i.e., not obstructed by any other black pixel of the image) in direction D from infinity. A related problem, referred to as point visibility, is to compute for each pixel the portion that is visible from a given point p. In this paper, we derive O(log n) time SIMD algorithms for each of these two problems on the hypercube, where one processor is assigned to every pixel of the image. Since the worst case communication distance of two processors in a n2-processor hypercube is 2 log n, it follows that both of the above algorithms are asymptotically optimal

    Unsaturated issues in claystones

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