940 resultados para circuits and Systems


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Evidências sugerem que a lateralização cerebral é uma característica fundamental dos vertebrados. Nos seres humanos, tem sido sugerido que o hemisfério direito é especializado no processamento de informação emocional negativa e o hemisfério esquerdo no controle da função motora. Em roedores, evidências de lateralização hemisférica são escassas. Diante disso, utilizamos a hemisferectomia para avaliar a importância relativa de cada hemisfério no controle emocional e na atividade motora espontânea em camundongos. Machos adultos foram submetidos à hemisferectomia direita (HD), hemisferectomia esquerda (HE) ou a simulação da cirurgia (SHAM). Para ajudar na interpretação dos resultados, uma amostra adicional de camundongos foi submetida à aspiração unilateral da área frontoparietal esquerda (FPE), da área frontoparietal direito (FPD) ou a simulação da cirurgia (CONT). Quinze dias após a cirurgia, a reatividade emocional e a ambulação foram avaliadas no teste de campo aberto durante 10 minutos (dividido em intervalos de 1 min). A arena de campo aberto consistiu em uma caixa de polipropileno, cujo fundo foi dividido em 16 retângulos do mesmo tamanho. O número total de retângulos cruzados pelo animal foi utilizado como a medida da atividade locomotora espontânea. Considerando-se que os camundongos evitam áreas abertas, a locomoção no centro e o tempo despendido nos retângulos centrais foram utilizados para avaliar a reatividade emocional. Em relação à atividade locomotora as duas técnicas cirúrgicas revelaram assimetrias na direção oposta. A atividade locomotora do grupo HE aumentou ao longo do período de teste e foi maior do que a dos grupos HD e SHAM. Em contraste, a atividade locomotora do grupo FPD diminuiu ao longo do período de teste e foi superior a ambos os grupos, FPE e CONT. Em relação à reatividade emocional, o grupo HE passou menos tempo na área central que os grupos HD e CONT. Não foram observadas diferenças entre FPD, FPE e o grupo CONT. Os nossos resultados sugerem que os dois hemisférios contribuem de forma assimétrica para controlar de reatividade emocional e para controlar de atividade motora em camundongos. De forma semelhante ao que é observado em humanos, o hemisfério direito dos camundongos foi mais associado com o processamento de informação emocional negativa. Em relação aos dados de hiperatividade, as diferenças observadas entre os animais hemisferectomizados e com lesão frontoparietal sugerem que mais de um circuito (ou sistema) lateralizado pode mediar a atividade locomotora espontânea.

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This paper presents the analysis and design of a new low power and highly linear mixer topology based on a newly reported differential derivative superposition method. Volterra series and harmonic balance are employed to investigate its linearisation mechanism and to optimise the design. A prototype mixer has been designed and is being implemented in 0.18μm CMOS technology. Simulation shows this mixer achieves 19.7dBm IIP3 with 10.5dB conversion gain, 13.2dB noise figure at 2.4GHz and only 3.8mW power consumption. This performance is competitive with already reported mixers.

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Computer Aided Control Engineering involves three parallel streams: Simulation and modelling, Control system design (off-line), and Controller implementation. In industry the bottleneck problem has always been modelling, and this remains the case - that is where control (and other) engineers put most of their technical effort. Although great advances in software tools have been made, the cost of modelling remains very high - too high for some sectors. Object-oriented modelling, enabling truly re-usable models, seems to be the key enabling technology here. Software tools to support control systems design have two aspects to them: aiding and managing the work-flow in particular projects (whether of a single engineer or of a team), and provision of numerical algorithms to support control-theoretic and systems-theoretic analysis and design. The numerical problems associated with linear systems have been largely overcome, so that most problems can be tackled routinely without difficulty - though problems remain with (some) systems of extremely large dimensions. Recent emphasis on control of hybrid and/or constrained systems is leading to the emerging importance of geometric algorithms (ellipsoidal approximation, polytope projection, etc). Constantly increasing computational power is leading to renewed interest in design by optimisation, an example of which is MPC. The explosion of embedded control systems has highlighted the importance of autocode generation, directly from modelling/simulation products to target processors. This is the 'new kid on the block', and again much of the focus of commercial tools is on this part of the control engineer's job. Here the control engineer can no longer ignore computer science (at least, for the time being). © 2006 IEEE.

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Computer Aided Control Engineering involves three parallel streams: Simulation and modelling, Control system design (off-line), and Controller implementation. In industry the bottleneck problem has always been modelling, and this remains the case - that is where control (and other) engineers put most of their technical effort. Although great advances in software tools have been made, the cost of modelling remains very high - too high for some sectors. Object-oriented modelling, enabling truly re-usable models, seems to be the key enabling technology here. Software tools to support control systems design have two aspects to them: aiding and managing the work-flow in particular projects (whether of a single engineer or of a team), and provision of numerical algorithms to support control-theoretic and systems-theoretic analysis and design. The numerical problems associated with linear systems have been largely overcome, so that most problems can be tackled routinely without difficulty - though problems remain with (some) systems of extremely large dimensions. Recent emphasis on control of hybrid and/or constrained systems is leading to the emerging importance of geometric algorithms (ellipsoidal approximation, polytope projection, etc). Constantly increasing computational power is leading to renewed interest in design by optimisation, an example of which is MPC. The explosion of embedded control systems has highlighted the importance of autocode generation, directly from modelling/simulation products to target processors. This is the 'new kid on the block', and again much of the focus of commercial tools is on this part of the control engineer's job. Here the control engineer can no longer ignore computer science (at least, for the time being). ©2006 IEEE.

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Several studies have highlighted the importance of information and information quality in organisations and thus information is regarded as key determinant for the success and organisational performance. At the same time, there are numerous studies, frameworks and case studies examining the impact of information technology and systems to business value. Recently, several studies have proposed maturity models for information management capabilities in the literature, which claim that a higher maturity results in a higher organizational performance. Although these studies provide valuable information about the underlying relations, most are limited in specifying the relationship in more detail. Furthermore, most prominent approaches do not or at least not explicitly consider information as important influencing factor for organisational performance. In this paper, we aim to review selected contributions and introduce a model that shows how IS/IT resources and capabilties could be interlinked with IS/IT utilization, organizational performance and business value. Complementing other models and frameworks, we explicitly consider information from a management maturity, quality and risk perspective. Moreover, the paper discusses how each part of the model can be assessed in order to validate the model in future studies.

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Understanding how and why changes propagate during engineering design is critical because most products and systems emerge from predecessors and not through clean sheet design. This paper applies change propagation analysis methods and extends prior reasoning through examination of a large data set from industry including 41,500 change requests, spanning 8 years during the design of a complex sensor system. Different methods are used to analyze the data and the results are compared to each other and evaluated in the context of previous findings. In particular the networks of connected parent, child and sibling changes are resolved over time and mapped to 46 subsystem areas. A normalized change propagation index (CPI) is then developed, showing the relative strength of each area on the absorber-multiplier spectrum between -1 and +1. Multipliers send out more changes than they receive and are good candidates for more focused change management. Another interesting finding is the quantitative confirmation of the "ripple" change pattern. Unlike the earlier prediction, however, it was found that the peak of cyclical change activity occurred late in the program driven by systems integration and functional testing. Patterns emerged from the data and offer clear implications for technical change management approaches in system design. Copyright © 2007 by ASME.