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Literatura académica sobre el tema "Output stationary"

Autor: Grafiati

Publicado: 25 de mayo de 2024

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Artículos de revistas sobre el tema "Output stationary"

Valera, Harold Glenn A., Mark J. Holmes y Gazi M. Hassan. "Does inflation targeting matter for the behavior of inflation and output growth? Some regime-based evidence for Asian economies". Journal of Economic Studies 45, n.º 5 (8 de octubre de 2018): 932–55. http://dx.doi.org/10.1108/jes-01-2017-0023.

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PurposeThe purpose of this paper is to consider whether or not the introduction of inflation targeting (IT) impacts on the mean-reversion properties of inflation and output growth.Design/methodology/approachFocusing on eight Asian countries of which four are inflation-targeters, the authors employ a two-state Markov-switching model which characterizes the behavior of inflation and output growth as regime-dependent based on periods of stationarity or non-stationarity.FindingsIn contrast to a literature that offers mixed findings, the authors find the presence of stationary inflation and output growth in one regime for all IT countries, except for South Korea which is characterized by stationary output growth in both regimes. In the cases of South Korea and Thailand, IT reduces the probability of inflation remaining in a non-stationary regime. IT increases the probability of South Korea remaining in a regime of low persistence output growth. While IT is important in understanding behavior, so are other considerations such as exchange rate volatility, as well as the Asian and global financial crises.Originality/valueIn contrast to other unit root tests of inflation and output growth, a novelty of the approach is that the authors obtain new insights in terms of two concepts of stationarity that allow for inflation and output growth to switch between stationary and non-stationary regimes (partial stationarity), or between stationary regimes of differing degrees of persistence (varied stationarity).

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Smallwood, David O. "Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs". Shock and Vibration 14, n.º 2 (2007): 107–31. http://dx.doi.org/10.1155/2007/701837.

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A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one will result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.

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Clemente, Jesus, Antonio Montanes y Montserrat Ponz. "Are the consumption/output and investment/output ratios stationary? An international analysis". Applied Economics Letters 6, n.º 10 (octubre de 1999): 687–91. http://dx.doi.org/10.1080/135048599352510.

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Christopoulos, Dimitris K. y Miguel A. León-Ledesma. "Time-series output convergence tests and stationary covariates". Economics Letters 101, n.º 3 (diciembre de 2008): 297–99. http://dx.doi.org/10.1016/j.econlet.2008.09.009.

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Deckers, Thomas y Christoph Hanck. "MULTIPLE TESTING FOR OUTPUT CONVERGENCE". Macroeconomic Dynamics 18, n.º 1 (25 de mayo de 2012): 199–214. http://dx.doi.org/10.1017/s1365100512000338.

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This paper tests for output convergence across n = 51 economies, employing the definition of Pesaran [Journal of Econometrics 138, 312–355 (2007)]. The definition requires output gaps to be stationary around a constant mean. But when all n(n − 1)/2 pairs of log per capita output gaps are considered, this results in more than 1,000 unit root tests to be conducted. Hence, because of the ensuing multiplicity of the testing problem, a nontrivial number of output gaps will be falsely declared to be stationary when each of the n(n − 1)/2 hypotheses is tested at some conventional level like 5%. To solve the problem, we employ recent multiple testing techniques that allow us to bound the expected fraction of false rejections at a desired level. Monte Carlo results illustrate the usefulness of the techniques. The empirical results show that the data do not support the notion of output convergence after controlling for multiplicity.

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Sadeh, Ilan. "Universal Data Compression Algorithm Based on Approximate String Matching". Probability in the Engineering and Informational Sciences 10, n.º 4 (octubre de 1996): 465–86. http://dx.doi.org/10.1017/s0269964800004502.

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A practical source coding scheme based on approximate string matching is proposed. It is an approximate fixed-length string matching data compression combined with a block-coder based on the empirical distribution. A lemma on approximate string matching, which is an extension of the Kac Lemma, is proved. It is shown, based on the lemma, that the deterministic algorithm converts the stationary and ergodic source, u, into an output process v, and under the assumption that v is a stationary process, after the scheme has run for an infinite time, the optimal compression ratio R(D) is achieved. This reduces the problem of the universal lossy coder to the proof of stationarity of the output process ν in the proposed algorithm. The main advantages of the proposed method are the asymptotic sequential behavior of the encoder and the simplicity of the decoder.

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Hakmeh, Rashel Abu. "Stationary Factor of Non-Stationary Random Process Based on Differential Transformation". Galoitica: Journal of Mathematical Structures and Applications 8, n.º 2 (2023): 29–33. http://dx.doi.org/10.54216/gjmsa.080203.

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This research studies the deviation of the output signal from stationary state by calculating stationary factor in differential filter with constant and non-stochastic coefficients, a stationary process is applied on its input. We show that this deviation is related to the degree of transformation the study range length and the form of a correlation function of the process applied on the input and the special solution of the equation LY=X and its correlation or un-correlation with that process.

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KE, YUNQUAN. "STATIONARY SOLUTIONS ANALYSIS OF CELLULAR NEURAL NETWORKS". International Journal of Bifurcation and Chaos 16, n.º 01 (enero de 2006): 163–68. http://dx.doi.org/10.1142/s0218127406014678.

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A class of cellular neural networks, containing the input and output terms, is investigated in this paper. The input and output synaptic weights are taken as the parameter in conjunction with the thresholds, and parameter spaces are constructed from them. Based on geometrical method, the parameter spaces are decomposed into many finite regions, and the value assignment range of stationary solutions is given when system parameters are determined on some regions.

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Bean, Nigel, David Green y Peter Taylor. "The output process of an MMPP/M/1 queue". Journal of Applied Probability 35, n.º 4 (diciembre de 1998): 998–1002. http://dx.doi.org/10.1239/jap/1032438394.

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Olivier and Walrand (1994) claimed that the departure process of an MMPP/M/1 queue is not an MAP unless the queue is a stationary M/M/1 queue. They also conjectured that the departure process of an MAP/PH/1 queue is not an MAP unless the queue is a stationary M/M/1 queue. We show that their proof of the first result has an algebraic error, which leaves open the above question of whether the departure process of an MMPP/M/1 can be an MAP.

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Bean, Nigel, David Green y Peter Taylor. "The output process of an MMPP/M/1 queue". Journal of Applied Probability 35, n.º 04 (diciembre de 1998): 998–1002. http://dx.doi.org/10.1017/s0021900200016697.

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Tesis sobre el tema "Output stationary"

Fanget, Nicolas. "Starvation/stationary phase survival of Rhodococcus erythropolis SQ1 : a physiological and genetic analysis". Thesis, Edinburgh Napier University, 2008. http://researchrepository.napier.ac.uk/Output/2432.

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Although the starvation or non-growth state is probably the most common physiological state of bacteria, it has been studied in relatively few organisms. In spite of its importance in pathogenesis, bioremediation and several industrial processes, limited research has been performed on Rhodococcus under starvation/stationary phase conditions. The objectives of this study were to analyse the physiological adaptation of Rhodococcus erythropolis SQ1 to starvation/stationary phase, and to generate and screen a bank of mutants to identify genetic elements involved in this adaptation. It was found that R. erythropolis SQ1 can survive for at least 43 days in LB and distilled water, and 65 days in chemically defined medium (CDM) containing high (1 % w/v) or low (0.1 % w/v) glucose concentrations. Early stationary phase R. erythropolis SQ1 cells grown in 0.1 % glucose also exhibited enhanced resistance to heat and oxidative stress compared with exponential phase cells. A mutant bank of 898 R. erythropolis SQ1 mutants was generated and screened; four mutants were of particular interest. The culturability of mutants 4G6 and 10D3 dropped to <0.1 % of the maximum CFU/ml at 27 days incubation, and to <3 % of the maximum CFU/ml for mutants 1B2 and 1H1, when grown in 1 % glucose medium. No drop in culturability was observed when mutants were grown in 0.1 % glucose. Mutant 4G6 had a transposon insertion in uvrB (UvrB, part of the DNA excision repair mechanism), while the insertion for mutant 10D3 was immediately downstream of a putative guaB gene, which, based on bioinformatic analyses, is followed by another putative IMP dehydrogenase (guaB-like) and/or a cholesterol oxidase gene. In mutant 1H1 the transposon inserted 272 nucleotides downstream of a gene encoding a putative phosphoglycerate mutase and upstream of putative thioredoxin and cytochrome c biogenesis genes. In conclusion, R. erythropolis SQ1 was shown to present a classic starvation/stationary phase survival response, with the associated increase in resistance to various external stresses. A mutant bank has been generated which can be used in the future to analyse other phenotypes of interest. Several genes linked to starvation/stationary phase survival were identified. These findings show that a wide variety of genes are involved in starvation/ stationary phase survival. Indeed, over 100 such genes have been identified in Escherichia coli and Mycobacterium tuberculosis.

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Demirkutlu, Eyyup. "Output Voltage Control Of A Four-leg Inverter Based Three-phase Ups By Means Of Stationary Frame Resonant Filter Banks". Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608151/index.pdf.

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A method for high performance output voltage control of a four-leg inverter based three-phase transformerless UPS is proposed. Voltage control loop is employed and the method employs stationary frame resonant filter controllers for the fundamental and harmonic frequency components. A capacitor current feedback loop provides active damping and enhances the output voltage dynamic performance. The controller design and implementation details are given. Linear and nonlinear loads for balanced and unbalanced load operating conditions are considered. The steadystate and dynamic performance of the UPS are investigated in detail. A scalar PWM method with implementation simplicity and high performance is proposed and implemented. The control and PWM methods are proven by means of theory, simulations, and experiments.

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Oudrhiri, Ali. "Performance of a Neural Network Accelerator Architecture and its Optimization Using a Pipeline-Based Approach". Electronic Thesis or Diss., Sorbonne université, 2023. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2023SORUS658.pdf.

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Ces dernières années, les réseaux de neurones ont gagné en popularité en raison de leur polyvalence et de leur efficacité dans la résolution d'une grande variété de tâches complexes. Cependant, à mesure que les réseaux neuronaux continuent de trouver des applications dans une gamme toujours croissante de domaines, leurs importantes exigences en matière de calcul deviennent un défi pressant. Cette demande en calcul est particulièrement problématique lors du déploiement de réseaux neuronaux sur des dispositifs embarqués aux ressources limitées, en particulier dans le contexte du calcul en périphérie pour les tâches d'inférence. De nos jours, les puces accélératrices de réseaux neuronaux émergent comme le choix optimal pour prendre en charge les réseaux neuronaux en périphérie. Ces puces offrent une efficacité remarquable avec leur taille compacte, leur faible consommation d'énergie et leur latence réduite. Dans le cadre du calcul en périphérie, diverses exigences ont émergé, nécessitant des compromis dans divers aspects de performance. Cela a conduit au développement d'architectures d'accélérateurs hautement configurables, leur permettant de s'adapter aux demandes de performance distinctes. Dans ce contexte, l'accent est mis sur Gemini, un accélérateur configurable de réseaux neuronaux conçu avec une architecture imposée et mis en œuvre à l'aide de techniques de synthèse de haut niveau. Les considérations pour sa conception et sa mise en œuvre ont été motivées par le besoin de configurabilité de la parallélisation et d'optimisation des performances. Une fois cet accélérateur conçu, il est devenu essentiel de démontrer la puissance de sa configurabilité, aidant les utilisateurs à choisir l'architecture la plus adaptée à leurs réseaux neuronaux. Pour atteindre cet objectif, cette thèse a contribué au développement d'une stratégie de prédiction des performances fonctionnant à un niveau élevé d'abstraction, qui prend en compte l'architecture choisie et la configuration du réseau neuronal. Cet outil aide les clients à prendre des décisions concernant l'architecture appropriée pour leurs applications de réseaux neuronaux spécifiques. Au cours de la recherche, nous avons constaté qu'utiliser un seul accélérateur présentait plusieurs limites et que l'augmentation de la parallélisme avait des limitations en termes de performances. Par conséquent, nous avons adopté une nouvelle stratégie d'optimisation de l'accélération des réseaux neuronaux. Cette fois, nous avons adopté une approche de haut niveau qui ne nécessitait pas d'optimisations fines de l'accélérateur. Nous avons organisé plusieurs instances de Gemini en pipeline et avons attribué les couches à différents accélérateurs pour maximiser les performances. Nous avons proposé des solutions pour deux scénarios : un scénario utilisateur où la structure du pipeline est prédéfinie avec un nombre fixe d'accélérateurs, de configurations d'accélérateurs et de tailles de RAM. Nous avons proposé des solutions pour mapper les couches sur les différents accélérateurs afin d'optimiser les performances d'exécution. Nous avons fait de même pour un scénario concepteur, où la structure du pipeline n'est pas fixe, cette fois il est permis de choisir le nombre et la configuration des accélérateurs pour optimiser l'exécution et également les performances matérielles. Cette stratégie de pipeline s'est révélée efficace pour l'accélérateur Gemini. Bien que cette thèse soit née d'un besoin industriel spécifique, certaines solutions développées au cours de la recherche peuvent être appliquées ou adaptées à d'autres accélérations de réseaux neuronaux. Notamment, la stratégie de prédiction des performances et l'optimisation de haut niveau du traitement de réseaux neuronaux en combinant plusieurs instances offrent des aperçus précieux pour une application plus large
In recent years, neural networks have gained widespread popularity for their versatility and effectiveness in solving a wide range of complex tasks. Their ability to learn and make predictions from large data-sets has revolutionized various fields. However, as neural networks continue to find applications in an ever-expanding array of domains, their significant computational requirements become a pressing challenge. This computational demand is particularly problematic when deploying neural networks in resource-constrained embedded devices, especially within the context of edge computing for inference tasks. Nowadays, neural network accelerator chips emerge as the optimal choice for supporting neural networks at the edge. These chips offer remarkable efficiency with their compact size, low power consumption, and reduced latency. Moreover, the fact that they are integrated on the same chip environment also enhances security by minimizing external data communication. In the frame of edge computing, diverse requirements have emerged, necessitating trade-offs in various performance aspects. This has led to the development of accelerator architectures that are highly configurable, allowing them to adapt to distinct performance demands. In this context, the focus lies on Gemini, a configurable inference neural network accelerator designed with imposed architecture and implemented using High-Level Synthesis techniques. The considerations for its design and implementation were driven by the need for parallelization configurability and performance optimization. Once this accelerator was designed, demonstrating the power of its configurability became essential, helping users select the most suitable architecture for their neural networks. To achieve this objective, this thesis contributed to the development of a performance prediction strategy operating at a high-level of abstraction, which considers the chosen architecture and neural network configuration. This tool assists clients in making decisions regarding the appropriate architecture for their specific neural network applications. During the research, we noticed that using one accelerator presents several limits and that increasing parallelism had limitations on performances. Consequently, we adopted a new strategy for optimizing neural network acceleration. This time, we took a high-level approach that did not require fine-grained accelerator optimizations. We organized multiple Gemini instances into a pipeline and allocated layers to different accelerators to maximize performance. We proposed solutions for two scenarios: a user scenario where the pipeline structure is predefined with a fixed number of accelerators, accelerator configurations, and RAM sizes. We proposed solutions to map the layers on the different accelerators to optimise the execution performance. We did the same for a designer scenario, where the pipeline structure is not fixed, this time it is allowed to choose the number and configuration of the accelerators to optimize the execution and also hardware performances. This pipeline strategy has proven to be effective for the Gemini accelerator. Although this thesis originated from a specific industrial need, certain solutions developed during the research can be applied or adapted to other neural network accelerators. Notably, the performance prediction strategy and high-level optimization of NN processing through pipelining multiple instances offer valuable insights for broader application

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Pinto, Gonçalo Antonio Nogueira de Sousa. "Real convergence in per capita output and growth in Eurozone: a time-series approach". Master's thesis, 2016. http://hdl.handle.net/10362/16517.

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The real convergence hypothesis has spurred a myriad of empirical tests and approaches in the economic literature. This Work Project intends to test for real output and growth convergence in all N(N-1)/2 possible pairs of output and output growth gaps of 14 Eurozone countries. This paper follows a time-series approach, as it tests for the presence of unit roots and persistence changes in the above mentioned pairs of output gaps, as well as for the existence of growth convergence with autoregressive models. Overall, significantly greater evidence has been found to support growth convergence rather than output convergence in our sample.

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Capítulos de libros sobre el tema "Output stationary"

Morvai, Gusztáv. "Guessing the Output of a Stationary Binary Time Series". En Contributions to Statistics, 207–15. Heidelberg: Physica-Verlag HD, 2003. http://dx.doi.org/10.1007/978-3-642-57410-8_18.

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Cuellar-Fierro, Jhon F., Hernán Darío Vargas-Cardona, Mauricio A. Álvarez, Andrés M. Álvarez y Álvaro A. Orozco. "Non-stationary Multi-output Gaussian Processes for Enhancing Resolution over Diffusion Tensor Fields". En Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 168–76. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75193-1_21.

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Neidel, A., Th Ullrich, S. Wallich y M. Lackas. "Uncharacteristic Circumferential TMF Cracking in a Heavy-duty Stationary Gas Turbine Engine Burner Outlet". En Schadensfallanalysen metallischer Bauteile, 335–45. München, Germany: Carl Hanser Verlag GmbH & Co. KG, 2015. http://dx.doi.org/10.1007/978-3-446-44609-0_25.

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Basak, Amitava. "Design and Analysis". En Permanent-Magnet DC Linear Motors, 128–57. Oxford University PressOxford, 1996. http://dx.doi.org/10.1093/oso/9780198593928.003.0007.

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Abstract An engineer designs a motor according to the specifications provided by the customers. For linear motors, the main specifications are the sensitivity of the motor (thrust coefficient), the output force, the output power, the efficiency, the velocity-versus-time characteristic, and the power-to-weight ratio. When determining the power-to-weight ratio, it is normal practice to take into account the weight of the whole moving unit, and also the weight of the part of the stationary unit which is enclosed by the moving unit.

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Smithers, Andrew. "Land, Inventories, and Trade Credit". En The Economics of the Stock Market, 105–8. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847096.003.0020.

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In addition to tangible fixed produced capital, companies need land, inventories, and trade credit. The greater the proportion of these other assets to their produced capital, the faster will be the rate of depreciation. As the labour productivity of installed equipment is largely fixed, its profitability and thus value falls as real wages rise. As the labour share of corporate output is stationary, the rate of depreciation rises with that of labour productivity. If no other capital were required, equipment would be employed until the value of its output equalled the labour cost. To pay for the other capital involved production will halt when the value of the output minus the equipment’s scrap value exceeds the labour cost plus the return that can be obtained on those other assets. These will usually have value which, unlike that of equipment, does not primarily depend on the output of the business as they can be readily liquidated, in the case of inventories and trade credit, or in the case of land by sale for some other use. The ratio of the values of these other assets to fixed produced capital has been volatile, but over time the impact has been insignificant.

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James, Frankie y Rama Gurram. "Multimodal and Federated Interaction". En Human Computer Interaction, 102–22. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-87828-991-9.ch009.

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This chapter introduces the concepts of multimodal and federated interaction. Because multimodality means, simply, the combination of multiple modalities (or types of input and output), the authors first introduce some of the various modalities available for computer interaction. The chapter then discusses how multimodality can be used both in desktop and mobile computing environments. The goal of the chapter is to familiarize scholars and researchers with the range of topics covered under the heading “multimodality” and suggest new areas of research around the combination of modalities, as well as the combination of mobile and stationary computing devices to improve usability.

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Renshaw, Geoff. "Constrained maximum and minimum values". En Maths for Economics. Oxford University Press, 2021. http://dx.doi.org/10.1093/hebz/9780198839507.003.0020.

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This chapter develops the optimization technique in an important new direction: to cover cases where the independent variables are constrained or restricted in the values they can take on. It also explains the method of Lagrange multipliers, which provides a more powerful but less intuitive method of locating constrained stationary points. The Lagrange method is a powerful tool that can explain how a firm finds the method of production that minimizes the total cost of any given output; second, how a firm achieves maximum profit; and finally, how a consumer with a given budget achieves maximum utility.

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Youssef, Andrew, David Matthews, Andrew Guzzomi y Jie Pan. "Optimised PVDF Placement Inside an Operating Hydrodynamic Thrust Bearing". En Propulsion Systems - Recent Advances, New Perspectives and Applications [Working Title]. IntechOpen, 2023. http://dx.doi.org/10.5772/intechopen.110153.

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In our previous work we demonstrated the feasibility of using Polyvinylidene Fluoride (PVDF) sensors inside an operational thrust bearing and were able to measure the blade passing frequencies (BPF) due to an asymmetric flow around different propellers. In that work however the sensors were positioned inside the flat surface of the stationary portion of the bearing with the tilted pads rotated on the opposite side. Due to this configuration the output signal of the PVDF consisted of a superposition of the pad passing frequency (PPF) and the blade passing frequency (BPF) making it difficult to extract useful information from the results. Here, an improved bearing pad-film configuration is proposed in order to minimise the effects of the PPF. By embedding the films inside the pads, positioned on the stationary side of bearing, and rotating the flat surface, it was possible to eliminate the PPF and significantly increase the signal to noise ratio. The measured results give a better understanding of the fundamental vibratory components that arise from the propeller-shaft system.

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Smithers, Andrew. "Summary". En The Economics of the Stock Market, 156–57. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847096.003.0032.

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Ex post corporate leverage must match ex post household portfolio preference. The utility preferences of managers determine the investment, leverage, and pay-out policies of quoted companies, which dominate the economy. Managements seek to maximize the present value of their companies as measured by the stock market not net worth. They avoid being over or underleveraged so that the ratio of interest payments to pre-tax profits is mean reverting. They invest when expected returns match the hurdle rate of 6.7 per cent p.a. The stationarity of equity returns is shown by historic returns and their negative serial correlation. Households dislike falls in income more than they like rises; their utility function leads to a low risk-free rate of interest even for twenty-year bonds and a high return on equity. The utility functions of savers and corporate managers differ, companies do not behave as if they were run by owners. The high elasticity of corporate leverage to changes in bond yields and the low elasticity of household portfolio preference results in their ex post identity being achieved solely through changes in bond yields. The real return on equity is stationary despite changes in demography. There are four constants. The mean reversion of the real return on equity at circa 6.7 per cent. The mean reversion of the profit (after depreciation) and labour shares of output. The mean reversion of the ratio of interest payments to profits. The mean reversion of the ratio of the value of fixed produced capital to output.

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Smithers, Andrew. "Portfolio Preference and Retirement Savings". En The Economics of the Stock Market, 137–39. Oxford University Press, 2022. http://dx.doi.org/10.1093/oso/9780192847096.003.0027.

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Little if any corporation tax was raised the nineteenth century but the rate has been significant and highly variable since, while the return on equity has been stationary. While the tax is collected by companies, the economic cost does not fall on their shareholders. The mean reversion of the labour share of output since 1929 and the absence of any connection with its fluctuations and those in the corporate tax rate show that it did not fall on employees either. Corporation tax is, in effect, a tax on investment and not on shareholders or employees. The immediate effect of an increase in tax is nonetheless to reduce published profits. Profits will grow more slowly in the future, so the short-term rise in income from corporation tax will be followed by lower longer-term receipts.

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Actas de conferencias sobre el tema "Output stationary"

E. Gershon. "Systems with Multiplicative Noise: Stationary output-feedback Tracking with preview". En 2006 14th Mediterranean Conference on Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/med.2006.236702.

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Gershon, E. y U. Shaked. "Systems with Multiplicative Noise: Stationary output-feedback Tracking with preview". En 2006 14th Mediterranean Conference on Control and Automation. IEEE, 2006. http://dx.doi.org/10.1109/med.2006.328868.

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Hamerly, Ryan, Alex Sludds, Saumil Bandyopadhyay, Zaijun Chen, Zhizhen Zhong, Liane Bernstein, Manya Ghobadi y Dirk Englund. "Wavelength Multiplexed Photonic Edge Computing in the Output Stationary Frame". En CLEO: Applications and Technology. Washington, D.C.: Optica Publishing Group, 2023. http://dx.doi.org/10.1364/cleo_at.2023.atu3i.1.

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We propose a photonic edge computing architecture based on WDM, broadband modulation, and output-stationary integration. Using this scheme, we demonstrate 98.8%-accurate DNN inference over an 86-km deployed fiber link with 3 THz optical bandwidth.

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Sherykhalin, K. O. "Simulation of non-stationary electrochemical process axisymmetric shaping with variable current output". En НАУКА РОССИИ: ЦЕЛИ И ЗАДАЧИ. НИЦ «Л-Журнал», 2018. http://dx.doi.org/10.18411/sr-10-10-2018-39.

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Oudrhiri, Ali, Emilien Taly, Nathan Bain, Alix Munier, Roberto Guizzetti y Pascal Urard. "Performance Modeling and Estimation of a Configurable Output Stationary Neural Network Accelerator". En 2023 IEEE 35th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD). IEEE, 2023. http://dx.doi.org/10.1109/sbac-pad59825.2023.00018.

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Ralston, J. C. "Identification Of Multiple Input-output Nonlinear Systems Driven By Stationary Non-gaussian Processes". En Fourth International Symposium on Signal Processing and Its Applications - ISSPA '96. IEEE, 1996. http://dx.doi.org/10.1109/ssap.1996.534895.

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van Roode, Mark, William D. Brentnall, Paul F. Norton y Gregory P. Pytanowski. "Ceramic Stationary Gas Turbine Development". En ASME 1993 International Gas Turbine and Aeroengine Congress and Exposition. American Society of Mechanical Engineers, 1993. http://dx.doi.org/10.1115/93-gt-309.

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A program has been initiated under the sponsorship of the Department of Energy (DOE), Office of Industrial Technology, to improve the performance of stationary gas turbines in cogeneration through the selective replacement of metallic hot section parts with uncooled ceramic components. It is envisioned that the successful demonstration of ceramic gas turbine technology, and the systematic incorporation of ceramics in existing and future gas turbines will enable more efficient engine operation, resulting in significant fuel savings, increased output power, and reduced emissions. The program which started in September, 1992, takes an engine of the Solar Centaur family of industrial gas turbines, and modifies the design of the hot section to accept ceramic first stage blades and first stage nozzles, and a ceramic combustor liner. The ceramic materials selected for the blade are silicon nitride, for the nozzle silicon nitride and silicon carbide, and for the combustor liner silicon carbide as well as two continuous fiber reinforced ceramic composites, one with a silicon carbide matrix and another with an oxide matrix. This paper outlines the approach, conceptual component design, and materials selection for the program.

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Kanoglu, Mehmet, Ibrahim Dincer y Marc A. Rosen. "Exergetic Assessment of a Turbocharged Stationary Diesel Engine". En ASME 2007 Energy Sustainability Conference. ASMEDC, 2007. http://dx.doi.org/10.1115/es2007-36264.

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An exergetic analysis is presented of a turbocharged stationary diesel engine with a power output of about 19 MW. The system studied consists of a diesel engine, a turbine, a compressor, an intercooler and a radiator. The sites of exergy destructions are identified and quantified and the exergy efficiencies of various components determined. The exergy efficiency of the engine is found to be 40.5% at the specified reference state. The greatest exergy destruction occurs in the engine itself, which account for 84% of total exergy destruction in the system. A parametric investigation shows that the exergy losses of all system components increase with increasing reference-environment temperature. The results provide valuable information regarding the exergetic characteristics of turbocharged stationary diesel engines and appear to be useful for designers. The use of turbocharged stationary diesel engines has increased considerably in recent years as potential small-scale power generating solutions and in vehicle applications, due to their good power output, which helps overcome problems associated with some extreme operating conditions.

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Yoon, Heonjun, Byeng D. Youn y Chulmin Cho. "Piezoelectric Energy Harvesting Analysis Under Non-Stationary Random Vibrations". En ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13547.

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Energy harvesting (EH), which scavenges electric power from ambient, otherwise wasted, energy sources, has received considerable attention for the purpose of powering wireless sensor networks and low-power electronics. Among ambient energy sources, widely available vibration energy can be converted into electrical energy using piezoelectric materials that generate an electrical potential in response to applied mechanical stress. As a basis for designing a piezoelectric energy harvester, an analytical model should be developed to estimate electric power under a given vibration condition. Many analytical models under the assumption of the deterministic excitation cannot deal with random nature in vibration signals, although the randomness considerably affects variation in harvestable electrical energy. Thus, predictive capability of the analytical models is normally poor under random vibration signals. Such a poor power prediction is mainly caused by the variation of the dominant frequencies and their peak acceleration levels. This paper thus proposes the three-step framework of the stochastic piezoelectric energy harvesting analysis under non-stationary random vibrations. As a first step, the statistical time-frequency analysis using the Wigner-Ville spectrum was used to estimate a time-varying power spectral density (PSD) of an input random excitation. The second step is to employ an existing electromechanical model as a linear operator for calculating the output voltage response. The final step is to estimate a time-varying PSD of the output voltage response from the linear relationship. Then, the expected electric power was estimated from the autocorrelation function that is inverse Fourier transform of the time-varying PSD of the output voltage response. Therefore, the proposed framework can be used to predict the expected electric power under non-stationary random vibrations in a stochastic manner.

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Kumar, A. "Long-Term, Multi-Variate Production Forecasting Using Non-Stationary Transformer". En International Petroleum Technology Conference. IPTC, 2024. http://dx.doi.org/10.2523/iptc-24308-ms.

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Abstract Petroleum production forecasting plays an important role in business decisions related to field development planning. Machine learning and artificial intelligence have been used extensively in recent years as they are capable of interpreting and analyzing complex data. In particular, transformers have been used in long-term forecasting of time-series data because of their global-range modeling ability. In this work, non-stationary transformer is used to forecast long-term production in order to address issues with ‘vanilla’ transformer, such as joint distribution change over time. Data-driven model is developed using non-stationary transformer which has two main modules namely series stationarization and de-stationary attention. Series stationarization unifies the statistics of each input and converts the output with restored statistics for better predictability. To address over-stationarization problem, de-stationary attention is devised to recover intrinsic non-stationary information into temporal dependencies by approximating distinguishable attention from raw series. Stationarization improves series predictability, whereas de-stationary attention enhances model capability. Non-stationary transformers can hence be used to effectively learn from long-time series data. Non-stationary transformer is used to forecast production for Olympus benchmark model which has 11 production wells and 7 water injection wells with 20 years simulation horizon. Multi-variate dataset is created with oil and water production rates for producers, and water injection rate for injectors. Thus, training dataset has 29 time-series with monthly data for 20 years period, first 70% of which is used for training while 15% each are used for validating and testing the model. Non-stationary transformer is used to develop data-driven model for forecasting, and results are compared with ‘vanilla’ transformer. The model takes previous four months of data as input, and outputs next four months values. Vanilla transformer gives an order of magnitude higher mean squared error (MSE) during the training period as compared to non-stationary transformer. This difference is even bigger in the test period, where vanilla transformer gives two orders of magnitude higher MSE. Performance of vanilla transformer deteriorates in test period as it is unable to learn non-stationarity prevalent in the dataset, while non-stationary transformer gives similar performance in both training and test period. Next, we develop a surrogate model using non-stationary transformer for ensemble of 10 realizations. Dataset includes 290 time-series with 29 for each of 10 realizations. The Surrogate model is able to maintain similar performance as compared to single realization case, showing that it could be used for real world cases with hundreds of wells. Non-stationary transformer is used to create data-driven, long-term prediction model for oilfield production. Series stationarization helps learn non-stationarity in the time series, while de-stationary attention helps it to recover non-stationary attention. Thus, the model can better learn the dynamical system and outperform vanilla transformer model.

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Informes sobre el tema "Output stationary"

Howland. GRI-04-0066 Functional Specifications - Advanced Controls for Two-Stroke Cycle Stationary Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), septiembre de 2013. http://dx.doi.org/10.55274/r0011051.

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A functional specification was developed for new digital control algorithms to replace methods traditionally controlled by pneumatic controllers. The specification includes input/output requirements and details on control methods.

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Gómez-Pineda,, Javier G. y Julián Roa-Rozo. A trend-cycle decomposition with hysteresis. Banco de la República, abril de 2023. http://dx.doi.org/10.32468/be.1230.

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The business cycle is the cycle in the output gap and also in a stationary measure of trend output. Both the output gap and trend output are driven by joint trend-cycle shocks. The model is a univariate trend-cycle decomposition with hysteresis in trend output that enables the estimation of the output gap and trend output in 81 economies in quarterly frequency, since 1995Q1; and 184 economies in yearly frequency, in several cases since 1950, and in a few cases since 1820. Volatility and dispersion, as well as the frequency of large joint trend-cycle shocks, were low during the Gilded Age period; high during the interwar period, even more so in advanced (AD) economies compared to emerging market and developing economies (EMDE); and low in AD economies and high in EMDE economies in the post WWII period. In contrast with other existing estimates of trend output, those from the trend-cycle decomposition with hysteresis do not evolve smoothly, do not result in an artificial boom before recessions and are less sensitive to new data.

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Chapman y Toema. PR-266-09211-R01 Physics-Based Characterization of Lambda Sensor from Natural Gas Fueled Engines. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), noviembre de 2012. http://dx.doi.org/10.55274/r0010022.

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The increasingly strict air emission regulations may require implementing Non-Selective Catalytic Reduction (NSCR) systems as a promising emission control technology for stationary rich burn spark ignition engines. Many recent experimental investigations that used NSCR systems for stationary natural gas fueled engines showed that NSCR systems were unable to consistently control the exhaust emissions level below the compliance limits. Modeling of NSCR components to better understand, and then exploit, the underlying physical processes that occur in the lambda sensor and the catalyst media is now considered an essential step toward improving NSCR system performance. This report focuses on modeling the lambda sensor that provides feedback to the air-to-fuel ratio controller. Correct interpretation of the sensor output signal is necessary to achieve consistently low emissions level. The goal of this modeling study is to improve the understanding of the physical processes that occur within the sensor, investigate the cross-sensitivity of various exhaust gas species on the sensor performance, and finally this model serves as a tool to improve NSCR control strategies. This model simulates the output from a planar switch type lambda sensor. The model consists of three modules. The first module models the multi-component mass transport through the sensor protective layer. The second module includes all the surface catalytic reactions that take place on the sensor platinum electrodes. The third module is responsible for simulating the reactions that occur on the electrolyte material and determine the sensor output voltage.

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Crump, Richard K., Stefano Eusepi y Emanuel Moench. Is There Hope for the Expectations Hypothesis? Federal Reserve Bank of New York, abril de 2024. http://dx.doi.org/10.59576/sr.1098.

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Most macroeconomic models impose a tight link between expected future short rates and the term structure of interest rates via the expectations hypothesis (EH). While the EH has been systematically rejected in the data, existing work evaluating the EH generally assumes either full-information rational expectations or stationarity of beliefs, or both. As such, these analyses are ill-equipped to refute the EH when these assumptions fail to hold, fueling hopes for a “resurrection” of the EH. We introduce a model of expectations formation which features time-varying means and accommodates deviations from rationality. This model tightly matches the entire joint term structure of expectations for output growth, inflation, and the short-term interest rate from all surveys of professional forecasters in the U.S. We show that deviations from rationality and drifting long-run beliefs consistent with observed measures of expectations, while sizable, do not come close to bridging the gap between the term structure of expectations and the term structure of interest rates. Not only is the EH decisively rejected in the data, but model-implied short-rate expectations generally display, at best, only a weak co-movement with the forward rates of corresponding maturities.

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