941 resultados para Integer order control


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Arthur's refusal to begin feasting before he has seen a marvel or heard a tale of adventure is a recurring motif in medieval romance. Previous comment on this ritual has suggested that the source for such a taboo on eating may be found in earlier narratives in the Celtic languages. This paper argues that, although the ritual almost certainly originates in pre-chivalric society, romance authors adapted and developed it to reflect the courtly-chivalric preoccupations of their own world. Arthur's ritual gesture may be seen as a means of containing and controlling both interior moral threats and exterior physical peril, and is intimately connected to the courtly conception of the feast. This study draws on the evidence of religious writing and courtesy manuals and explores some highly-developed treatments of the motif in romance in order to suggest that literary engagements with Arthur's refusal to eat have much to say about contemporary ideas of ritual and reality as mediated through the symbolically-charged arena of the medieval feast.

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In order to accelerate computing the convex hull on a set of n points, a heuristic procedure is often applied to reduce the number of points to a set of s points, s ≤ n, which also contains the same hull. We present an algorithm to precondition 2D data with integer coordinates bounded by a box of size p × q before building a 2D convex hull, with three distinct advantages. First, we prove that under the condition min(p, q) ≤ n the algorithm executes in time within O(n); second, no explicit sorting of data is required; and third, the reduced set of s points forms a simple polygonal chain and thus can be directly pipelined into an O(n) time convex hull algorithm. This paper empirically evaluates and quantifies the speed up gained by preconditioning a set of points by a method based on the proposed algorithm before using common convex hull algorithms to build the final hull. A speedup factor of at least four is consistently found from experiments on various datasets when the condition min(p, q) ≤ n holds; the smaller the ratio min(p, q)/n is in the dataset, the greater the speedup factor achieved.

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Two fundamental processes usually arise in the production planning of many industries. The first one consists of deciding how many final products of each type have to be produced in each period of a planning horizon, the well-known lot sizing problem. The other process consists of cutting raw materials in stock in order to produce smaller parts used in the assembly of final products, the well-studied cutting stock problem. In this paper the decision variables of these two problems are dependent of each other in order to obtain a global optimum solution. Setups that are typically present in lot sizing problems are relaxed together with integer frequencies of cutting patterns in the cutting problem. Therefore, a large scale linear optimizations problem arises, which is exactly solved by a column generated technique. It is worth noting that this new combined problem still takes the trade-off between storage costs (for final products and the parts) and trim losses (in the cutting process). We present some sets of computational tests, analyzed over three different scenarios. These results show that, by combining the problems and using an exact method, it is possible to obtain significant gains when compared to the usual industrial practice, which solve them in sequence. (C) 2010 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

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We report on integer and fractional microwave-induced resistance oscillations in a 2D electron system with high density and moderate mobility, and present results of measurements at high microwave intensity and temperature. Fractional microwave-induced resistance oscillations occur up to fractional denominator 8 and are quenched independently of their fractional order. We discuss our results and compare them with existing theoretical models. (C) 2009 Elsevier B.V. All rights reserved.

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A biomimetic sensor is proposed as a promising new analytical method for determination of captopril in different classes of samples. The sensor was prepared by modifying a carbon paste electrode with iron (II) phthalocyanine bis(pyridine) [FePe(dipy)] complex. Amperometric measurements in a batch analytical mode were first carried out in order to optimize the sensor response. An applied potential lower than 0.2 V vs Ag vertical bar AgCl in 0.1 mol L(-1) of TRIS buffer at pH 8.0 provided the best response, with a linear range of 2.5 x 10(-5) to 1.7 x 10(-4) mol L(-1). A detailed investigation of the selectivity of the sensor, employing seventeen other drugs, was also performed. Recovery studies were carried out using biological and environment samples in order to evaluate the sensor`s potential for use with these sample classes. Finally, the performance of the biomimetic sensor was optimized in a flow injection (FIA) system using a wall jet electrochemical cell. Under optimized flow conditions, a broad linear response range, from 5.0 x 10(-4) to 2.5 x 10(-2) mol L(-1), was obtained for captopril, with a sensitivity of 210 +/- 1 mu A L mol(-1).

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The main idea of this research to solve the problem of inventory management for the paper industry SPM PVT limited. The aim of this research was to find a methodology by which the inventory of raw material could be kept at minimum level by means of buffer stock level.The main objective then lies in finding the minimum level of buffer stock according to daily consumption of raw material, finding the Economic Order Quantity (EOQ) reorders point and how much order will be placed in a year to control the shortage of raw material.In this project, we discuss continuous review model (Deterministic EOQ models) that includes the probabilistic demand directly in the formulation. According to the formula, we see the reorder point and the order up to model. The problem was tackled mathematically as well as simulation modeling was used where mathematically tractable solution was not possible.The simulation modeling was done by Awesim software for developing the simulation network. This simulation network has the ability to predict the buffer stock level based on variable consumption of raw material and lead-time. The data collection for this simulation network is taken from the industrial engineering personnel and the departmental studies of the concerned factory. At the end, we find the optimum level of order quantity, reorder point and order days.

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This report presents a new way of control engineering. Dc motor speed controlled by three controllers PID, pole placement and Fuzzy controller and discusses the advantages and disadvantages of each controller for different conditions under loaded and unloaded scenarios using software Matlab. The brushless series wound Dc motor is very popular in industrial application and control systems because of the high torque density, high efficiency and small size. First suitable equations are developed for DC motor. PID controller is developed and tuned in order to get faster step response. The simulation results of PID controller provide very good results and the controller is further tuned in order to decrease its overshoot error which is common in PID controllers. Further it is purposed that in industrial environment these controllers are better than others controllers as PID controllers are easy to tuned and cheap. Pole placement controller is the best example of control engineering. An addition of integrator reduced the noise disturbances in pole placement controller and this makes it a good choice for industrial applications. The fuzzy controller is introduce with a DC chopper to make the DC motor speed control smooth and almost no steady state error is observed. Another advantage is achieved in fuzzy controller that the simulations of three different controllers are compared and concluded from the results that Fuzzy controller outperforms to PID controller in terms of steady state error and smooth step response. While Pole placement controller have no comparison in terms of controls because designer can change the step response according to nature of control systems, so this controller provide wide range of control over a system. Poles location change the step response in a sense that if poles are near to origin then step response of motor is fast. Finally a GUI of these three controllers are developed which allow the user to select any controller and change its parameters according to the situation.

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In the field of operational water management, Model Predictive Control (MPC) has gained popularity owing to its versatility and flexibility. The MPC controller, which takes predictions, time delay and uncertainties into account, can be designed for multi-objective management problems and for large-scale systems. Nonetheless, a critical obstacle, which needs to be overcome in MPC, is the large computational burden when a large-scale system is considered or a long prediction horizon is involved. In order to solve this problem, we use an adaptive prediction accuracy (APA) approach that can reduce the computational burden almost by half. The proposed MPC scheme with this scheme is tested on the northern Dutch water system, which comprises Lake IJssel, Lake Marker, the River IJssel and the North Sea Canal. The simulation results show that by using the MPC-APA scheme, the computational time can be reduced to a large extent and a flood protection problem over longer prediction horizons can be well solved.

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This article presents a game-theoretic partisan model of voting and political bargaining. In a two-period setup, voters ¯rst elect an executive incumbent and the legislators from a pool of candidates belonging to di®erent parties. Once elected, the executive and the legislature bargain over a budget. Party origin and a relevant parameter of the economy, the state of the world, in°uence the bargaining cost, such that political gridlocks may occur. At the end of the ¯rst period voters observe the outcome of bargaining but do not observe the true estate of the world, and decide whether or not to reelect the same parties for the Executive and the Legislature. The model con¯rms the very recent literature by showing that voters tend to have more °exible reelection criteria when they believe the true state of the world is likely to be unfavorable. On the other hand, when voters believe the true state of the world is likely to be favorable, they become more demanding in order to reelect the incumbents. In particular, there will be government shutdown with positive probability in equilibrium. Gridlocks occur due to the imperfect information of voters and they constitute indeed an information revelation mechanism that improves electoral control in the second period.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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Herbicidas aplicados ao solo são submetidos à adsorção, lixiviação e degradação por processos físicos, químicos e biológicos, além da absorção pelas plantas. Todos esses processos são afetados pela classe dos solos onde foram aplicados e das condições climáticas reinantes logo após a aplicação, que afetarão a eficiência dos produtos no controle de plantas daninhas. Investigaram-se as influências dos atributos de solos e condições de cultivo na eficiência do herbicida sulfentrazone no controle da planta daninha tiririca (Cyperus rotundus L.). O Latossolo Vermelho-Amarelo Distrófico (LVAd), o Latossolo Vermelho (LVd - Distrófico; LVdf - Distroférrico; LVef - Eutroférrico) e o Nitossolo Vermelho Eutrófico (NVe) foram coletados sob duas condições de cultivo, visando obter solos com teores diferenciados de argila, óxido de ferro e matéria orgânica. As amostras dos solos foram submetidas à caracterização granulométrica, química e mineralógica e, em seguida, utilizadas no bioensaio de avaliação da eficiência do sulfentrazone (1,6 L p.c. ha-1) no controle da tiririca em condições de pré-emergência. O sulfentrazone apresentou comportamento diferenciado entre as classes de solos estudados e a sua eficiência diminuiu com o aumento do teor de óxido de ferro nos solos, na seguinte ordem: LVAd, LVd, NVe, LVef e LVdf, sendo que as variações nos teores de argila (240 a 640 g kg-1) e da matéria orgânica (12 a 78 g kg-1) dos solos não interferiram na eficiência do sulfentrazone.

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O setor citrícola enfrenta sérios problemas representados por doenças de flores e frutos jovens que, além de diminuir a produtividade, depreciam os frutos pelo aspecto que conferem aos mesmos. Tais doenças são representadas, principalmente, pela mancha preta dos frutos cítricos (MPC) e pela queda prematura dos frutos cítricos (QPFC), onde a medida predominante de controle é a pulverização com produtos químicos. Entretanto, os custos financeiros e ambientais de aplicações com tais produtos, aliado às crescentes restrições à presença de resíduos, estão a exigir o estudo de novas alternativas. Entre estas, o controle biológico surge como alternativa importante. Sabendo-se que, o conhecimento da biodiversidade dos seres vivos é importante para determinação de suas funções potenciais, o presente trabalho teve por objetivo estudar a diversidade genética, através de marcadores moleculares AFLP, de 32 isolados de B. subtilis com a finalidade de se encontrar, dentre os mesmos, um (ou mais isolados) que apresentasse maior similaridade com o isolado ACB-69, o qual apresenta potencial para o controle da doença. Diante disso, os resultados obtidos neste trabalho, permitiram concluir que: a) os isolados de B. subtilis estudados agruparam-se no filograma de distância genética, independente da procedência ou do hospedeiro; b) os isolados ACB-69 e ACB-83, com potenciais para o controle da queda prematura dos frutos cítricos, compartilham da mesma ancestralidade, o que pode ser inferido pela metodologia aplicada; c) em termos biológicos; o isolado ACB-83 merece mais estudos quanto à viabilidade de controle de doenças de citros, como a queda prematura dos frutos cítricos e a manha preta dos frutos cítricos, sob condições de campo.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)