138 resultados para Access Pricing


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This experiment investigated the effect of providing access to straw in racks on the welfare of sows in large dynamic groups. Two treatments were applied: (1) access to two racks containing chopped barley straw (offering an average of 0.3 kg straw/sow/day) and (2) control, with no straw racks. Treatments were applied to two separate dynamic groups each containing 35 ( 3) sows. Approximately 9 sows were replaced in each of these groups at 3-week intervals (each replacement constituting a replicate of the study). Peak rack usage was shown between 08:00 and 12:00 h, where on average 6% of sows were observed at each rack. On average over a 24-h period, 27% of sows that were observed at the racks were newly introduced. This percentage was significantly greater in the pre- rather than post-feeding yard (P 0.05). A greater proportion of sows performed sham chewing behaviour in the post- rather than the pre-feeding yard (P 0.05). Overall, providing access to straw in racks led to a reduction in pen-directed exploratory behaviour, and this may reflect the fact that sows were provided with an outlet for exploratory and/or foraging behaviour. However, the fact that sham chewing behaviour was not affected suggests that welfare benefits associated with the straw rack treatment were limited. (C) 2007 Elsevier B.V. All rights reserved.

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This experiment investigated the effects of providing access to grass silage on the welfare of sows introduced to a large dynamic group. Two treatments were applied: (1) access to racks containing grass silage (offering an average of 1.9 kg silage/sow/day), and (2) control treatment with no grass silage racks. Treatments 1 and 2 were applied to two separate dynamic groups, each containing 37 (2) sows. Approximately 9 sows were replaced in both groups at 3-week intervals, and each of these replacements constituted a replicate of the study. The study was replicated six times using a total of 108 sows. In a time-based cross-over design, treatments were swapped between the two dynamic groups after three replicates. Highest levels of rack usage were shown between 08:00 and 14:00 h. During peak periods, 9.8% of sows were observed at the racks at a given time. On average, 78.5% of sows observed at the racks were newly-introduced animals. Overall levels of aggression to which newly-introduced sows were exposed on the day of introduction to the group were low, and did not differ significantly between treatments (P > 0.05). In addition, injury levels measured 1-week post-introduction to the group did not differ significantly between treatments (P > 0.05). Sham chewing behaviour was more prevalent in the post-rather than the pre-feeding yard (P

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Traditional Time Division Multiple Access (TDMA) protocol provides deterministic periodic collision free data transmissions. However, TDMA lacks flexibility and exhibits low efficiency in dynamic environments such as wireless LANs. On the other hand contention-based MAC protocols such as the IEEE 802.11 DCF are adaptive to network dynamics but are generally inefficient in heavily loaded or large networks. To take advantage of the both types of protocols, a D-CVDMA protocol is proposed. It is based on the k-round elimination contention (k-EC) scheme, which provides fast contention resolution for Wireless LANs. D-CVDMA uses a contention mechanism to achieve TDMA-like collision-free data transmissions, which does not need to reserve time slots for forthcoming transmissions. These features make the D-CVDMA robust and adaptive to network dynamics such as node leaving and joining, changes in packet size and arrival rate, which in turn make it suitable for the delivery of hybrid traffic including multimedia and data content. Analyses and simulations demonstrate that D-CVDMA outperforms the IEEE 802.11 DCF and k-EC in terms of network throughput, delay, jitter, and fairness.

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In this paper, the performance of the network coded amplify-forward cooperative protocol is studied. The use of network coding can suppress the bandwidth resource consumed by relay transmission, and hence increase the spectral efficiency of cooperative diversity. A distributed strategy of relay selection is applied to the cooperative scheme, which can reduce system overhead and also facilitate the development of the explicit expressions of information metrics, such as outage probability and ergodic capacity. Both analytical and numerical results demonstrate that the proposed protocol can achieve large ergodic capacity and full diversity gain simultaneously.

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Age-based discrimination in the supply of goods and services (including educational services) has only very recently been outlawed in the United Kingdom by the Equality Act 2010, the relevant sections of which have not yet been brought into force. This paper critically considers the Act and its implications, as well as the current proposal for an EU Directive on Goods and Services.The greatest immediate potential of the Equality Act lies in the general prohibition against age discrimination and the scope of the exceptions to it. The paper argues that exceptions permitting service providers to discriminate against older people (i.e. negative exceptions) should be very specifically set out in the reforming legislation.There should be no general defence to a claim of age discrimination based around the concept of ‘reasonableness’, which would not be consistently interpreted by courts and tribunals in a way that steers clear of traditional ageist assumptions and stereotyping.The paper argues that service providers should be permitted to discriminate in favour of older people (i.e. make positive exceptions) if the reason for doing do so satisfi es legislative criteria which are designed, amongst other things, to meet the particular needs of older persons or to promote social inclusion. Under this proposal, preferential treatment such as age-related concessionary fees for adult education courses and programmes would be lawful.

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This paper studies the dynamic pricing problem of selling fixed stock of perishable items over a finite horizon, where the decision maker does not have the necessary historic data to estimate the distribution of uncertain demand, but has imprecise information about the quantity demand. We model this uncertainty using fuzzy variables. The dynamic pricing problem based on credibility theory is formulated using three fuzzy programming models, viz.: the fuzzy expected revenue maximization model, a-optimistic revenue maximization model, and credibility maximization model. Fuzzy simulations for functions with fuzzy parameters are given and embedded into a genetic algorithm to design a hybrid intelligent algorithm to solve these three models. Finally, a real-world example is presented to highlight the effectiveness of the developed model and algorithm.

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This paper studies a problem of dynamic pricing faced by a retailer with limited inventory, uncertain about the demand rate model, aiming to maximize expected discounted revenue over an infinite time horizon. The retailer doubts his demand model which is generated by historical data and views it as an approximation. Uncertainty in the demand rate model is represented by a notion of generalized relative entropy process, and the robust pricing problem is formulated as a two-player zero-sum stochastic differential game. The pricing policy is obtained through the Hamilton-Jacobi-Isaacs (HJI) equation. The existence and uniqueness of the solution of the HJI equation is shown and a verification theorem is proved to show that the solution of the HJI equation is indeed the value function of the pricing problem. The results are illustrated by an example with exponential nominal demand rate.

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The stochastic nature of oil price fluctuations is investigated over a twelve-year period, borrowing feedback from an existing database (USA Energy Information Administration database, available online). We evaluate the scaling exponents of the fluctuations by employing different statistical analysis methods, namely rescaled range analysis (R/S), scale windowed variance analysis (SWV) and the generalized Hurst exponent (GH) method. Relying on the scaling exponents obtained, we apply a rescaling procedure to investigate the complex characteristics of the probability density functions (PDFs) dominating oil price fluctuations. It is found that PDFs exhibit scale invariance, and in fact collapse onto a single curve when increments are measured over microscales (typically less than 30 days). The time evolution of the distributions is well fitted by a Levy-type stable distribution. The relevance of a Levy distribution is made plausible by a simple model of nonlinear transfer. Our results also exhibit a degree of multifractality as the PDFs change and converge toward to a Gaussian distribution at the macroscales.