A recently proposed analog cell suited to low-voltage and low power operation and named "flipped voltage follower" is applied to the design of current conveyors. Two alternative topologies are presented, bot...
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A recently proposed analog cell suited to low-voltage and low power operation and named "flipped voltage follower" is applied to the design of current conveyors. Two alternative topologies are presented, both operating at 1.5 V and featuring simplicity, compactness, low power consumption and bandwidths up to 100 MHz for a 0.5 /spl mu/m CMOS technology. As an application example, a universal biquadratic filter is designed and simulated.
Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.
Service portals are systems which expose a bundle of Web services to the user, allowing the specification and subsequent execution of complex tasks defined over these individual services. Examples of situations where ...
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Service portals are systems which expose a bundle of Web services to the user, allowing the specification and subsequent execution of complex tasks defined over these individual services. Examples of situations where service portals would be valuable include making travel plans or purchasing a home. Service portals must be capable of converting an abstract user goal into a correct and optimal concrete execution plan, executing according to the plan, verifying the result against a user's stated satisfaction criteria, and in the case of satisfaction failure, initiating the appropriate recovery procedures. The basic framework needed to support this functionality, from gathering the input to generating an optimal plan and executing that plan, is a prerequisite for all service portals, yet there are currently no such commercial systems in existence, and the research literature has given only cursory treatment to some of these issues. In this paper, we describe FUSION, a comprehensive software system which provides the underlying framework for a service portal. We show how using the elements of this framework, service portal designers and architects can easily create domain-specific service portals, e.g., a travel service portal. We also present the Web services execution specification language (WSESL), a language that we have developed to describe execution plans in the context of the FUSION services model. Finally, we develop a set of data structures and algorithms for generating correct and optimal execution plans.
We discuss beneficial uses of imaging technologies in higher education that advance social justice. Misuse and ineffectiveness of shared decision making, specifically as related to power relationships and the redistri...
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The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuato...
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The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, ...
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ISBN:
(纸本)0780373227
The design of wholesale electricity markets through deregulation has focused almost exclusively on the development of competitive supply (generation). The demand side of the market has been virtually ignored. Mostly, this is due to the assumption that electricity demand is almost completely inelastic. As a result, deregulated wholesale markets universally fail to pass price signals down to the end-users. This paper challenges the assumption of inelastic demand by exploring the potential benefits of implementing a simple load control scheme. This load control scheme allows consumers to shift demand from high priced hours to low priced hours during the day. The benefits to the individual consumer are explored through an example applied to residential air conditioning using price and demand data from California. This example shows that "smart" use of air conditioning can lead to great savings for residential consumers, without sacrificing comfort. The potential for multiple consumers implementing load control to reduce wholesale prices is also examined.
The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuato...
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The feedback control structures are required in the presence of any kind of uncertainty. The benefits of the feedback are mainly paid with an excessive bandwidth that amplifies the sensor noise, saturating the actuators. This implies the necessity of design tradeoffs highly transparent from the Quantitative Feedback Theory. Supposing a given uncertainty for a plant, the set of performance and stability requirements will condition the problem solution. Taking advantage of the QFT bound typology and formulation, the contribution of the robust specification values to their simultaneous achievement will be analysed and particularly as regards the challenging task of the controller design.
This paper addresses the nonlinear autoregressive moving average (NARMA) identification problem in connection with the choice of the model structure (order) and computation of the time varying system coefficients. We ...
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This paper addresses the nonlinear autoregressive moving average (NARMA) identification problem in connection with the choice of the model structure (order) and computation of the time varying system coefficients. We introduce an intelligent method that is based on the reformulation of the problem in the standard state space form and the subsequent implementation of a bank of extended Kalman filters, each fitting a different order model. The problem is reduced then to selecting the true model, using the well known multi-model partitioning theory. Simulations illustrate that the proposed method is selecting the correct model order and identifies the time varying model parameters in real time, while it is insensitive to the noise variations.
The major component limiting SPECT performance is the gamma camera collimator. A typical parallel-hole collimator has a low sensitivity yielding noisy tomographic projection images for clinically useful imaging times ...
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The major component limiting SPECT performance is the gamma camera collimator. A typical parallel-hole collimator has a low sensitivity yielding noisy tomographic projection images for clinically useful imaging times and radiation dose to the patients. The problem of high noise and low count density, is especially acute in scintimammography due to relatively low uptake in the breast tissue, as compared to the heart and the liver. A practical solution for improved SPECT camera performance in scintimammography might be application of cone-beam collimator (CBC). It offers increased sensitivity in a limited field-of-view (FOV). Disadvantages of CBC include limited and spatially variable FOV, generation of truncation artifacts outside FOV, and more difficult in truly 3D reconstruction. In this paper, we investigate some theoretical aspects of optimization of CBC for applications in SPECT scintimammography.
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