83 research outputs found

    THEORETICAL ASPECTS ON OPTIMIZING THE QUALITY INDICES OF MACHINES FOR APPLYING PHYTOSANITARY TREATMENTS IN THE FIELD

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    The correct application of phytosanitary treatments depends on several parameters influencing the quality indexes when applying phyto-sanitary treatments in a culture. The paper presents a few aspects regarding the quality indices of plant protection equipment treatments applied which directly influence the uniformity of the field distributio

    ASPECTS ON OPTIMIZING THE QUALITATIVE INDICES OF THE WORK OF SPRAYING FIELD CROPS

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    In the context of continuous development and improvement of machinery forapplying phytosanitary treatments, the increase of precision of the dose applied to crops has become a target for major manufacturers of such equipment, the solutions applied on machinery aiming to improve the application technology, using automation and control systems driven from the operator cabin. This paper presents the most important aspects to be taken into account when working with a machinery for applying phytosanitary treatments, in order to obtain an optimization of qualitative indices of the spraying work of field crops

    ASPECTS REGARDING THE CONDITIONING OF HORTICULTURAL PRODUCTS IN FRESH STATE

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    This paper presents the conditions and equipment underlying the work processes within the flow of conditioning technologies of horticultural products, in order to prolong the life and freshness of fruits, from the time of harvest and storage, to their marketing for consumption

    CONDITIONING OF HORTICULTURAL PRODUCTS FOR CONSUMPTION IN FRESH STATE USING ULTRAVIOLET NON-IONIZING RADIATION, UV-C

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    This paper presents the conditions and equipment underlying the work processes within the flow of conditioning technologies of horticultural products, in order to prolong the life and freshness of fruits, from the time of harvest and storage, to their marketing for consumption

    Cloud-scale VM Deflation for Running Interactive Applications On Transient Servers

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    Transient computing has become popular in public cloud environments for running delay-insensitive batch and data processing applications at low cost. Since transient cloud servers can be revoked at any time by the cloud provider, they are considered unsuitable for running interactive application such as web services. In this paper, we present VM deflation as an alternative mechanism to server preemption for reclaiming resources from transient cloud servers under resource pressure. Using real traces from top-tier cloud providers, we show the feasibility of using VM deflation as a resource reclamation mechanism for interactive applications in public clouds. We show how current hypervisor mechanisms can be used to implement VM deflation and present cluster deflation policies for resource management of transient and on-demand cloud VMs. Experimental evaluation of our deflation system on a Linux cluster shows that microservice-based applications can be deflated by up to 50\% with negligible performance overhead. Our cluster-level deflation policies allow overcommitment levels as high as 50\%, with less than a 1\% decrease in application throughput, and can enable cloud platforms to increase revenue by 30\%.Comment: To appear at ACM HPDC 202

    The second data release from the European Pulsar Timing Array IV. Search for continuous gravitational wave signals

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    We present the results of a search for continuous gravitational wave signals (CGWs) in the second data release (DR2) of the European Pulsar Timing Array (EPTA) collaboration. The most significant candidate event from this search has a gravitational wave frequency of 4-5 nHz. Such a signal could be generated by a supermassive black hole binary (SMBHB) in the local Universe. We present the results of a follow-up analysis of this candidate using both Bayesian and frequentist methods. The Bayesian analysis gives a Bayes factor of 4 in favor of the presence of the CGW over a common uncorrelated noise process, while the frequentist analysis estimates the p-value of the candidate to be 1%, also assuming the presence of common uncorrelated red noise. However, comparing a model that includes both a CGW and a gravitational wave background (GWB) to a GWB only, the Bayes factor in favour of the CGW model is only 0.7. Therefore, we cannot conclusively determine the origin of the observed feature, but we cannot rule it out as a CGW source. We present results of simulations that demonstrate that data containing a weak gravitational wave background can be misinterpreted as data including a CGW and vice versa, providing two plausible explanations of the EPTA DR2 data. Further investigations combining data from all PTA collaborations will be needed to reveal the true origin of this feature.Comment: 12 figures, 15 pages, to be submitte

    A Better Estimator of Population Mean with Power Transformation Based on Ranked Set Sampling

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    Ranked set sampling (RSS) was first suggested by McIntyre (1952) to increase the efficiency of estimate of the population mean. It has been shown that this method is highly beneficial to the estimation based on simple random sampling (SRS). There has been considerable development and many modifications were done on this method. This paper presents a modified ratio estimator using prior value of coefficient of kurtosis of an auxiliary variable x, with the intention to improve the efficiency of ratio estimator in ranked set sampling. The first order approximation to the bias and mean square error (MSE) of the proposed estimator are obtained. A generalized version of the suggested estimator by applying the Power transformation is also presented
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