922 resultados para Kaldor trade model


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Circuit-breakers (CBs) are subject to electrical stresses with restrikes during capacitor bank operation. Stresses are caused by the overvoltages across CBs, the interrupting currents and the rate of rise of recovery voltage (RRRV). Such electrical stresses also depend on the types of system grounding and the types of dielectric strength curves. The aim of this study is to demonstrate a restrike waveform predictive model for a SF6 CB that considered the types of system grounding: grounded and non-grounded and the computation accuracy comparison on the application of the cold withstand dielectric strength and the hot recovery dielectric strength curve including the POW (point-on-wave) recommendations to make an assessment of increasing the CB remaining life. The simulation of SF6 CB stresses in a typical 400 kV system was undertaken and the results in the applications are presented. The simulated restrike waveforms produced with the identified features using wavelet transform can be used for restrike diagnostic algorithm development with wavelet transform to locate a substation with breaker restrikes. This study found that the hot withstand dielectric strength curve has less magnitude than the cold withstand dielectric strength curve for restrike simulation results. Computation accuracy improved with the hot withstand dielectric strength and POW controlled switching can increase the life for a SF6 CB.

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We consider complexity penalization methods for model selection. These methods aim to choose a model to optimally trade off estimation and approximation errors by minimizing the sum of an empirical risk term and a complexity penalty. It is well known that if we use a bound on the maximal deviation between empirical and true risks as a complexity penalty, then the risk of our choice is no more than the approximation error plus twice the complexity penalty. There are many cases, however, where complexity penalties like this give loose upper bounds on the estimation error. In particular, if we choose a function from a suitably simple convex function class with a strictly convex loss function, then the estimation error (the difference between the risk of the empirical risk minimizer and the minimal risk in the class) approaches zero at a faster rate than the maximal deviation between empirical and true risks. In this paper, we address the question of whether it is possible to design a complexity penalized model selection method for these situations. We show that, provided the sequence of models is ordered by inclusion, in these cases we can use tight upper bounds on estimation error as a complexity penalty. Surprisingly, this is the case even in situations when the difference between the empirical risk and true risk (and indeed the error of any estimate of the approximation error) decreases much more slowly than the complexity penalty. We give an oracle inequality showing that the resulting model selection method chooses a function with risk no more than the approximation error plus a constant times the complexity penalty.

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Airports represent the epitome of complex systems with multiple stakeholders, multiple jurisdictions and complex interactions between many actors. The large number of existing models that capture different aspects of the airport are a testament to this. However, these existing models do not consider in a systematic sense modelling requirements nor how stakeholders such as airport operators or airlines would make use of these models. This can detrimentally impact on the verification and validation of models and makes the development of extensible and reusable modelling tools difficult. This paper develops from the Concept of Operations (CONOPS) framework a methodology to help structure the review and development of modelling capabilities and usage scenarios. The method is applied to the review of existing airport terminal passenger models. It is found that existing models can be broadly categorised according to four usage scenarios: capacity planning, operational planning and design, security policy and planning, and airport performance review. The models, the performance metrics that they evaluate and their usage scenarios are discussed. It is found that capacity and operational planning models predominantly focus on performance metrics such as waiting time, service time and congestion whereas performance review models attempt to link those to passenger satisfaction outcomes. Security policy models on the other hand focus on probabilistic risk assessment. However, there is an emerging focus on the need to be able to capture trade-offs between multiple criteria such as security and processing time. Based on the CONOPS framework and literature findings, guidance is provided for the development of future airport terminal models.

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Purpose The purpose of this paper is to develop and test an integrative services framework to investigate the role of perceived trade show effectiveness on overall trade show service outcome, conceptualised as the intention to purchase a related product after, rather than during, a show. Design/methodology/approach Drawing on the services marketing and trade show literature, the authors test a model of trade show effectiveness with data collected from 592 attendees at a major automotive trade show in a large metropolitan centre. Findings Results show that improving trade show visitors' perceived service quality positively affects visitor perceptions of trade show effectiveness. Furthermore, both trade show effectiveness and service quality directly influence future purchase intention. Research limitations/implications Employing a services theoretical framework to evaluate trade show visitor experiences provides an alternative to the traditional marketing communications approach. By viewing such visits as service encounters, managers must inevitably consider the effects of service quality and service outcomes in determining the likely success of their shows. The study primarily focuses on one large consumer show and therefore does not constitute a complete, nor necessarily representative, sample of the trade show industry. Originality/value The original contribution of the paper stems from the paucity of research conceptualising trade shows as services and the comparative lack of emphasis placed on visitors rather than exhibitors in the literature. The research not only has utility for trade show organisers but also provides necessary theory-based research in the trade show domain.

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The book probes and examines traditional sources of royal power and control, as well as indigenous socio-political systems in the Malay world. It is focused on the north-western Malaysian Sultanate of Kedah which is acknowledged as the oldest unbroken independent kingship line in the ‘Malay and Islamic world’ with 1,000 years of history. Little scholarly attention has been paid to its pre-modern history, society, religion, system of government and unique geographic situation, potentially controlling both land and sea lines of communication into the remainder of Southeast Asia. It will thus provide the first comprehensive treatment in English, or other languages, on Kedah’s pre-modern and nineteenth century historiography and can provide a foundation for comparative studies of the various Malay states which is presently lacking. The proposed book also sheds much needed light on a range of important topics in Malay history including: Kedah and the northern Melaka Straits history, colonial expansion and rivalry, Southeast Asian history and politics, interregional migration and the influence of the sea peoples or orang laut, traditional Malay socio-political and economic life, Islamic influences and the course of Thai-Malay relations. The book attempts to offer a new understanding, not only of Kedah, but of the political and cultural development of the entire Malay world and of its relationships with the broader forces in both its continental and maritime settings. It argues that Kedah does not seem to follow, and in fact, often seems to contradict what has been commonly been accepted as the “typical model” of the traditional Malay state. Thus it concludes that the ruling dynasty has historically exploited a wide range of unique environmental conditions, local traditions, global spiritual trends and economic forces to preserve and strengthen its political position. The scope and theme of book The Kedah Sultanate is the oldest unbroken independent kingship lines in the “Malay world” with 1,000 years of history, and arguably one of the oldest in the Islamic world. In this study I examine key geopolitical and spiritual attributes of Malay kingship that have traditionally cemented the ruler, the peoples, and the environment. Brief description of the primary audience for the book: There is little written in English or Malay on Kedah’s pre twentieth century history. The available sources only look at certain aspects of Kedah’s history, are outdated or are confined to a specific period often outside the scope of the book. It is therefore anticipated that the readership and market for the book includes: • Scholars of Southeast Asian history, Islam, kingship, trade. • Academics & Historians (including: Asian, Thai history, Islamic, Maritime, Persian, South Asian, Southeast Asian and Colonial) • Libraries • Students, particularly those in Malaysia (especially the states of Kedah, Perlis and Penang), Thailand and Singapore. • Universities • Scholars and students in Political Science & International Relations

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Panellist commentary on delivered conference papers on the topic of ‘International Conventions and Model Laws - Their Impact on Domestic Commercial Law’.

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Despite the importance of destination image in market competitiveness, and the popularity of the field within tourism literature, there remains a dearth of published research examining travellers’ perceptions of destinations in South America. This manuscript addresses this gap by testing a model of consumer-based brand equity (CBBE) associated with three South American countries; Chile, Brazil and Argentina. The introduction of direct air links and a free trade agreement in 2008 has led destination marketing organisations (DMOs) in these countries to increase promotional efforts in the Australian market. This study shows that the CBBE model is an appropriate tool to explore consumers’ attitudes in the long haul travel context. The findings provide DMOs of the three countries studied, with benchmarks against which to compare the impact of future marketing communications in Australia. The results provide increased transparency and accountability to stakeholders, such as South American tourism businesses and Australian travel intermediaries.

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Purpose This paper develops and estimates a model to measure consumer perceptions of trade show effectiveness. Design/methodology/approach Data were collected at three separate B2C trade shows. Study 1 (n=47) involved field interviews with data subjected to qualitative item generation and content analysis. Study 2 data (n=147) were subjected to exploratory factor analysis and item-total correlation to identify a preliminary factor structure for the effectiveness construct and to test for reliability. In Study 3 (n=592), confirmatory factor analysis was undertaken to more rigorously test the factor structure and generalise across industries. Validity testing was also performed. Findings A three-dimensional factor structure for assessing consumer visitors’ perceptions of trade show effectiveness was produced incorporating research, operational, and entertainment components. Research limitations/implications Data were collected in Australia and results may not generalise across cultural boundaries. Practical implications The resulting measurement model may be used as a reliable post-hoc diagnostic tool to identify areas of trade show effectiveness where specific performance improvements are needed. Results indicate that exhibitors and organisers of B2C trade shows should consider effectiveness as a multidimensional phenomenon with entertainment, product / industry research, and the facilitation of purchase decision-making processes and problem resolution being key objectives for consumer attendees. These elements of effectiveness should each be addressed by exhibitors and organisers in planning their displays and events. Originality/value This is the first study to provide an empirically valid model for assessing trade show effectiveness from the consumer visitor’s perspective.

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Suspended loads on UAVs can provide significant benefits to several applications in agriculture, law enforcement and construction. The load impact on the underlying system dynamics should not be neglected as significant feedback forces may be induced on the vehicle during certain flight manoeuvres. Much research has focused on standard multi-rotor position and attitude control with and without a slung load. However, predictive control schemes, such as Nonlinear Model Predictive Control (NMPC), have not yet been fully explored. To this end, we present software and flight system architecture to test controller for safe and precise operation of multi-rotors with heavy slung load in three dimensions.

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The mining industry faces concurrent pressures of reducing water use, energy consumption and greenhouse gas (GHG) emissions in coming years. However, the interactions between water and energy use, as well as GHG e missions have largely been neglected in modelling studies to date. In addition, investigations tend to focus on the unit operation scale, with little consideration of whole-of-site or regional scale effects. This paper presents an application of a hierarchical systems model (HSM) developed to represent water, energy and GHG emissions fluxes at scales ranging from the unit operation, to the site level, to the regional level. The model allows for the linkages between water use, energy use and GHG emissions to be examined in a fl exible and intuitive way, so that mine sites can predict energy and emissions impacts of water use reduction schemes and vice versa. This paper examines whether this approach can also be applied to the regional scale with multiple mine sites. The model is used to conduct a case study of several coal mines in the Bowen Basin, Australia, to compare the utility of centralised and decentralised mine water treatment schemes. The case study takes into account geographical factors (such as water pumping distances and elevations), economic factors (such as capital and operating cost curves for desalination treatment plants) and regional factors (such as regionally varying climates and associated variance in mine water volumes and quality). The case study results indicate that treatment of saline mine water incurs a trade-off between water and energy use in all cases. However, significant cost differences between centralised and decentralised schemes can be observed in a simple economic analysis. Further research will examine the possibility for deriving model up-scaling algorithms to reduce computational requirements.

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This study explores the effect of trade openness on deforestation. Previous studies do not find a clear effect of trade openness on deforestation. We use updated data on the annual rate of deforestation for 142 countries from 1990 to 2003, treat trade and income as endogenous, and take into consideration an adjustment process by applying a dynamic model. We find that an increase in trade openness increases deforestation for non-OECD countries while slowing down deforestation for OECD countries. There is a possibility that both capital-labor and environmental-regulation effects have a negative impact on deforestation in developing countries, whereas the opposite holds in developed countries. © 2012 Springer Japan.

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Trade flows of commodities are generally affected by the principles of comparative advantage in a free trade. However, trade flows might be enhanced or distorted not only by various government interventions, but also by exchange rate fluctuations among others. This study applies a commodity-specific gravity model to selected vegetable trade flows among Organization for Economic Co-operation and Development (OECD) countries to determine the effects of exchange rate uncertainty on the trade flows. Using the data from 1996 to 2002, the results show that, while the exchange rate uncertainty significantly reduces trade in the majority of commodity flows, there is evidence that both short- and long-term volatility have positive effect on trade flows of specific commodities. This study also tests the regional preferential trade agreements such as the North American Free Trade Agreement (NAFTA), the Asia-Pacific Economic Cooperation (APEC) and the EU, and their different effects on commodities.

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We analyze how changes in trade openness are related to induced technological innovations that are not only GDP increasing but also pollution saving. Our model includes by-products of carbon dioxide and sulfur dioxide emissions. We estimate a directional distance function for 76 countries over the period 1963-2000 to measure exogenous and trade-induced technological change. On average, we find substantial trade-induced technological progress, and its magnitude is about one third of the overall technological change. The trade-induced technological changes, however, are GDP reducing and pollution increasing. Empirically, we find that increased trade openness correlates to increased pollution.

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This paper examines factors that affect the trade of recyclable waste in both exporting and importing countries. To this end, we employ two important elements: first, we adopt a gravity model in our empirical methodology; second, we select five waste and scrap commodities and undertake estimations using commodity-level trade data. We demonstrate that, the higher the wage/per capita GDP/population of an importing country, the more recyclable wastes it imports. This result suggests that the demand for final goods and, accordingly, the demand for materials including recycled material, have strong effects on the import volume of recyclable waste. Moreover, this implies that the imports of a developing country from developed countries increase with expanding industrial activity and economic growth. We find no evidence for a pollution haven for wastes and recycling.

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Models that implement the bio-physical components of agro-ecosystems are ideally suited for exploring sustainability issues in cropping systems. Sustainability may be represented as a number of objectives to be maximised or minimised. However, the full decision space of these objectives is usually very large and simplifications are necessary to safeguard computational feasibility. Different optimisation approaches have been proposed in the literature, usually based on mathematical programming techniques. Here, we present a search approach based on a multiobjective evaluation technique within an evolutionary algorithm (EA), linked to the APSIM cropping systems model. A simple case study addressing crop choice and sowing rules in North-East Australian cropping systems is used to illustrate the methodology. Sustainability of these systems is evaluated in terms of economic performance and resource use. Due to the limited size of this sample problem, the quality of the EA optimisation can be assessed by comparison to the full problem domain. Results demonstrate that the EA procedure, parameterised with generic parameters from the literature, converges to a useable solution set within a reasonable amount of time. Frontier ‘‘peels’’ or Pareto-optimal solutions as described by the multiobjective evaluation procedure provide useful information for discussion on trade-offs between conflicting objectives.