77 resultados para Tariff heading
em Queensland University of Technology - ePrints Archive
Resumo:
In this article, we have described the main components of a ship motion-control system and two particular motion-control problems that require wave filtering, namely, dynamic positioning and heading autopilot. Then, we discussed the models commonly used for vessel response and showed how these models are used for Kalman filter design. We also briefly discussed parameter and noise covariance estimation, which are used for filter tuning. To illustrate the performance, a case study based on numerical simulations for a ship autopilot was considered. The material discussed in this article conforms to modern commercially available ship motion-control systems. Most of the vessels operating in the offshore industry worldwide use Kalman filters for velocity estimation and wave filtering. Thus, the article provides an up-to-date tutorial and overview of Kalman-filter-based wave filtering.
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Rapid recursive estimation of hidden Markov Model (HMM) parameters is important in applications that place an emphasis on the early availability of reasonable estimates (e.g. for change detection) rather than the provision of longer-term asymptotic properties (such as convergence, convergence rate, and consistency). In the context of vision- based aircraft (image-plane) heading estimation, this paper suggests and evaluates the short-data estimation properties of 3 recursive HMM parameter estimation techniques (a recursive maximum likelihood estimator, an online EM HMM estimator, and a relative entropy based estimator). On both simulated and real data, our studies illustrate the feasibility of rapid recursive heading estimation, but also demonstrate the need for careful step-size design of HMM recursive estimation techniques when these techniques are intended for use in applications where short-data behaviour is paramount.
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Distributed renewable energy has become a significant contender in the supply of power in the distribution network in Queensland and throughout the world. As the cost of battery storage falls, distribution utilities turn their attention to the impacts of battery storage and other storage technologies on the low voltage (LV) network. With access to detailed residential energy usage data, Energex's available residential tariffs are investigated for their effectiveness in providing customers with financial incentives to move to Time-of Use based tariffs and to reward use of battery storage.
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This paper considers the welfare effects of foreign aid that is tied to changes in the recipient's tariff. By constructing a three-country model with tariffs, and by allowing for changes both in the amount of aid and in the tariff rates, we are able to consider the welfare implications of two different rules of aid conditionality: (i) a rule which leaves the donor's welfare unchanged, and (ii) a rule which leaves the recipient government's total revenue unchanged. It is shown that the tying of aid to a tariff reform can, inter alia, be used to ensure Pareto improvement.
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The policy reform literature is primarily concerned with the construction of reforms that yield welfare gains. By contrast, this paper’s contribution is to develop a theoretical concept for which the focus is upon the sizes of welfare gains accruing from policy reforms rather than upon their signs. In undertaking this task, and by focusing on tariff reforms, we introduce the concept of a steepest ascent policy reform, which is a locally optimal reform in the sense that it achieves the highest marginal gain in utility of any feasible local reform. We argue that this reform presents itself as a natural benchmark for the evaluation of the welfare effectiveness of other popular tariff reforms such as the proportional tariff reduction and the concertina rules, since it provides the maximal welfare gain of all possible local reforms. We derive properties of the steepest ascent tariff reform, construct an index to measure the relative welfare effectiveness of any given tariff reform, determine conditions under which proportional and concertina reforms are locally optimal and provide illustrative examples.
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In this paper we examine the issue of optimal tariffs for a small economy that trades with a large economy. We define ‘small’ and ‘large’ in the sense that the world prices are determined solely by the large country, and, therefore, the small country faces exogenously given world prices. Within this framework it is shown that there exist situations in which the small country has an incentive to behave as a Stackelberg leader by committing itself to a non-zero optimal tariff. Although the small country is unable to directly affect world prices, by pre-committing to a non-zero trade tax it may induce a reduction of the large country's optimal trade tax, thereby indirectly improving its terms of trade and welfare. JEL Classification: F13, F35
Resumo:
Reducing tariffs and increasing consumption taxes is a standard IMF advice to countries that want to open up their economy without hurting government finances. Indeed, theoretical analysis of such a tariff–tax reform shows an unambiguous increase in welfare and government revenues. The present paper examines whether the country that implements such a reform ends up opening up its markets to international trade, i.e. whether its market access improves. It is shown that this is not necessarily so. We also show that, comparing to the reform of only tariffs, the tariff–tax reform is a less efficient proposal to follow both as far as it concerns market access and welfare.
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IMC is one of the most controversial areas of marketing education during the past decade. While many definitions of TMC have been put forth, agreement on the discipline's constructs remains unresolved. The core of future legitimacy of IMC resides in the development of a stream of research that develop s theory and methods for evaluation of IMC effectiveness. This paper reviews more than a decade of research on IMC effectiveness, suggests where the field is heading. and identifies future directions for fMC research.
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“When cultural life is re-defined as a perpetual round of entertainments, when serious public conversation becomes a form of baby talk, when, in short, a people become an audience and their public business a vaudeville act, then a nation finds itself at risk.” (Postman) The dire tones of Postman quoted in Janet Cramer’s Media, History, Society: A Cultural History of US Media introduce one view that she canvasses, in the debate of the moment, as to where popular culture is heading in the digital age. This is canvassed, less systematically, in Thinking Popular Culture: War Terrorism and Writing by Tara Brabazon, who for example refers to concerns about a “crisis of critical language” that is bothering professionals—journalists and academics or elsewhere—and deplores the advent of the Internet, as a “flattening of expertise in digital environments”.
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Cooperative collision warning system for road vehicles, enabled by recent advances in positioning systems and wireless communication technologies, can potentially reduce traffic accident significantly. To improve the system, we propose a graph model to represent interactions between multiple road vehicles in a specific region and at a specific time. Given a list of vehicles in vicinity, we can generate the interaction graph using several rules that consider vehicle's properties such as position, speed, heading, etc. Safety applications can use the model to improve emergency warning accuracy and optimize wireless channel usage. The model allows us to develop some congestion control strategies for an efficient multi-hop broadcast protocol.
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Are the Academy Awards heading towards an identity crisis? This year's Academy Awards have been characterised by a major disconnect between the most popular films at the box office and socially important films deemed the 'best pictures' by the Academy. Will the popularity of a film always remain inferior to whether or not it tackles serious social issues? Can popularity in its own right ever become indicative of a film's worth? Or should the awards retain their artistic integrity and suffer declining audiences and any criticisms they receive to maintain the respect they garner within the film industry? Whatever the answers may be, the winner of this year's Academy Awards was art over commerce, but this may not always be the case.
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This paper studies the incentives for credence goods experts to invest effort in diagnosis if effort is both costly and unobservable, and if they face competition by discounters who are not able to perform a diagnosis. The unobservability of diagnosis effort and the credence characteristic of the good induce experts to choose incentive compatible tariff structures. This makes them vulnerable to competition by discounters. We explore the conditions under which honestly diagnosing experts survive competition by discounters; we identify situations in which experts misdiagnose consumers in order to prevent them from free-riding on experts' advice; and we discuss policy options to solve the free-riding consumers–cheating experts problem.
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This paper presents an implementation of an aircraft pose and motion estimator using visual systems as the principal sensor for controlling an Unmanned Aerial Vehicle (UAV) or as a redundant system for an Inertial Measure Unit (IMU) and gyros sensors. First, we explore the applications of the unified theory for central catadioptric cameras for attitude and heading estimation, explaining how the skyline is projected on the catadioptric image and how it is segmented and used to calculate the UAV’s attitude. Then we use appearance images to obtain a visual compass, and we calculate the relative rotation and heading of the aerial vehicle. Additionally, we show the use of a stereo system to calculate the aircraft height and to measure the UAV’s motion. Finally, we present a visual tracking system based on Fuzzy controllers working in both a UAV and a camera pan and tilt platform. Every part is tested using the UAV COLIBRI platform to validate the different approaches, which include comparison of the estimated data with the inertial values measured onboard the helicopter platform and the validation of the tracking schemes on real flights.
Resumo:
Non-motorized public transport (NMPT) involves cycle-powered vehicles that carry several passengers and a small amount of goods; and provide flexible hail-and-ride services. Effectively they are non-motorized taxis. NMPT is widespread in developing countries, where it caters for a wide range of mobility needs. Common forms include cycle-rickshaw (Bangladesh, India), becak (Indonesia), cyclos (Vietnam, Cambodia), bicitaxi (Columbia, Cuba). Over the last 10-15 years there has also been a re-emergence of NMPT in the form of pedicabs in many developed countries because of the operating flexibility of NMPT, its eco-sustainability, and its ability to operate where use of motorized vehicles is restricted. In particular, in cities such as Berlin, London, New York and Vancouver, pedicabs are making the transition from ‘novelty’ to ‘serious’ transport mode. This is creating new transport policy/planning questions about pedicab operation and integration. This paper examines the phenomenon of NMPT and where it is heading. It uses case studies from Asia/Latin America and Europe/North America to examine emerging NMPT issues and possible responses, and how this may affect NMPT in Australia and New Zealand where it is still somewhat a ‘novelty’ but has potential as both an opportunity and a challenge.
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Position estimation for planetary rovers has been typically limited to odometry based on proprioceptive measurements such as the integration of distance traveled and measurement of heading change. Here we present and compare two methods of online visual odometry suited for planetary rovers. Both methods use omnidirectional imagery to estimate motion of the rover. One method is based on robust estimation of optical flow and subsequent integration of the flow. The second method is a full structure-from-motion solution. To make the comparison meaningful we use the same set of raw corresponding visual features for each method. The dataset is an sequence of 2000 images taken during a field experiment in the Atacama desert, for which high resolution GPS ground truth is available.