998 resultados para design and build


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Conformity affects the choice and design of organizations; conformists replicate successful strategies, play along with the rules of the game and display inert behavior. Conformity leads to the dominance of one mode. The combined impact of conformity and inertia, and the existence of employment costs, switching costs and network externalities, may exclude equally or superior efficient modes from replacing the incumbent mode (the first mover). Unable to overcome these barriers to entry, efficient maverick organizations are forced into niches. This is illustrated with respect to niches formed by labor-managed firms and ethnic businesses.

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In 2010 the Australian Government established the Higher Education Participation and Partnerships programme – a funding agenda to promote programmes that respond to the underrepresentation in higher education of people from what is often denoted low socioeconomic status (SES) backgrounds. Many government-funded programmes and projects have since emerged that respond to the problem of low SES underrepresentation, based on partnerships between higher education providers and other organisations. The arguments made in this paper draw on one such project: a mentoring programme implemented from 2011 to 2013 that targeted the aspirations of Year 9 regional secondary students. We discuss data and documentation that provide insights into the conception and design of the mentoring programme, and the strategies used to evaluate it, in order to discuss how funding and policy contexts influences the possible solutions that might be implemented in response to the underrepresentation in higher education of people from low SES backgrounds.

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The shift towards strong and lightweight fibre reinforced polymer-matrix composites for many high performance applications has resulted in an increasing need to expose students to composite design and manufacture courses in the undergraduate curriculum. In contrast, student exposure to composite materials is often still limited to a topic within a materials or manufacturing related course (unit). This paper presents the initial offering of a composite materials elective at Griffith University in Australia. The course also addresses environmental concerns through the inclusion of natural fibre composites. An evaluation of student perceptions is considered from Griffith’s Student Experience of Course (SEC) and separate Student Experience of Teaching (SET) surveys. These evaluations demonstrate the high level of student engagement with the course, but also highlighted areas for improvement, including the need to incorporate even more hands-on practical work. Interestingly, the inclusion of natural fibre composites and the related discussion surrounding environmental and societal issues are not focused on in student feedback.

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This paper addresses the methods used for the design and fabrication of a capacitance based wearable pressure sensor fabricated using neoprene and (SAC) plated Nylon Fabric. The experimental set up for the pressure sensor is comprised of a shielded grid of sensing modules, a 555 timer based transduction circuitry, and an Arduino board measuring the frequency of signal to a corresponding pressure. The fundamental design parameters addressed during the development of the pressure sensor presented in this paper are based on size, simplicity, cost, adaptability, and scalability. The design approach adopted in this paper results in a sensor module that is less obtrusive, has a thinner and flexible profile, and its sensitivity is easily scalable for ‘smart’ product applications across industries associated to sports performance, ergonomics, rehabilitation, etc.

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We model the trade-off between the balance and the strength of incentives implicit in the choice between hierarchical and matrix or- ganizational structures. We show that managerial biases determine which structure is optimal: hierarchical forms are preferred when biases are low, while matrix structures are preferred when biases are high. Moreover, the results show that there is always a level of bias for which matrix design can achieve the expected profit obtained by shareholders if they could directly control the firm. We also show that the main trade-off, i.e., hierarchical versus matrix structure is preserved under asymmetric levels of bias among managers and when low-level workers perceive activities with complementary efforts.

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We model the tradeoff between the balance and the strength of incentives implicit in the choice between hierarchical and matrix organizational structures. We show that managerial biases determine which structure is optimal: hierarchical forms are preferred when biases are low, while matrix structures are preferred when biases are high.

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This paper argues the euro zone requires a government banker that manages the bond market and helps finance country budget deficits. The euro solved Europe’s problem of exchange rate speculation by creating a unified currency managed by a single central bank, but in doing so it replaced the exchange rate speculation problem with bond market speculation. Remedying this requires a central bank that acts as government banker and maintains bond interest rates at sustainable levels. Because the euro is a monetary union, this must be done in a way that both avoids favoring individual countries and avoids creating incentives for irresponsible country fiscal policy that leads to “bail-outs”. The paper argues this can be accomplished via a European Public Finance Authority (EPFA) that issues public debt which the European Central Bank (ECB) is allowed to trade. The debate over the euro’s financial architecture has significant political implications. The current neoliberal inspired architecture, which imposes a complete separation between the central bank and public finances, puts governments under continuous financial pressures. That will make it difficult to maintain the European social democratic welfare state. This gives a political reason for reforming the euro and creating an EPFA that supplements the economic case for reform.

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This article presents a detailed study of the application of different additive manufacturing technologies (sintering process, three-dimensional printing, extrusion and stereolithographic process), in the design process of a complex geometry model and its moving parts. The fabrication sequence was evaluated in terms of pre-processing conditions (model generation and model STL SLI), generation strategy and physical model post-processing operations. Dimensional verification of the obtained models was undertook by projecting structured light (optical scan), a relatively new technology of main importance for metrology and reverse engineering. Studies were done in certain manufacturing time and production costs, which allowed the definition of an more comprehensive evaluation matrix of additive technologies.

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This work shows the design, simulation, and analysis of two optical interconnection networks for a Dataflow parallel computer architecture. To verify the optical interconnection network performance on the Dataflow architecture, we have analyzed the load balancing among the processors during the parallel programs executions. The load balancing is a very important parameter because it is directly associated to the dataflow parallelism degree. This article proves that optical interconnection networks designed with simple optical devices can provide efficiently the dataflow requirements of a high performance communication system.

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This paper presents an efficient approach based on a recurrent neural network for solving constrained nonlinear optimization. More specifically, a modified Hopfield network is developed, and its internal parameters are computed using the valid-subspace technique. These parameters guarantee the convergence of the network to the equilibrium points that represent an optimal feasible solution. The main advantage of the developed network is that it handles optimization and constraint terms in different stages with no interference from each other. Moreover, the proposed approach does not require specification for penalty and weighting parameters for its initialization. A study of the modified Hopfield model is also developed to analyse its stability and convergence. Simulation results are provided to demonstrate the performance of the proposed neural network.

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Sometimes it is inconvenient or expensive to open the loop of a system to insert lag controllers-for instance, when this system is an open-loop system. A new controller structure where the loop is not opened, and that allows the design of lag controllers as in the case where one can open the loop, is presented. This result can be used by educators in undergraduate courses that deal with classic control system theory, because it allows a better comprehension of the concept of lag compensation and provides a new method for its design and implementation. An example illustrates the application of the proposed method.

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This paper presents a theoretical analysis of a density measurement cell using an unidimensional model composed by acoustic and electroacoustic transmission lines in order to simulate non-ideal effects. The model is implemented using matrix operations, and is used to design the cell considering its geometry, materials used in sensor assembly, range of liquid sample properties and signal analysis techniques. The sensor performance in non-ideal conditions is studied, considering the thicknesses of adhesive and metallization layers, and the effect of residue of liquid sample which can impregnate on the sample chamber surfaces. These layers are taken into account in the model, and their effects are compensated to reduce the error on density measurement. The results show the contribution of residue layer thickness to density error and its behavior when two signal analysis methods are used. (c) 2006 Elsevier B.V. All rights reserved.

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