Relevant bibliographies by topics / CONTINOUS TIME CIRCUITS

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Academic literature on the topic 'CONTINOUS TIME CIRCUITS'

Author: Grafiati
Published: 11 September 2023

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Journal articles on the topic "CONTINOUS TIME CIRCUITS"

1

Califano, Alfonso Maria, Laurent Bitker, Ian Baldwin, Nigel Fealy, and Rinaldo Bellomo. "Circuit Survival during Continuous Venovenous Hemodialysis versus Continuous Venovenous Hemofiltration." Blood Purification 49, no. 3 (2020): 281–88. http://dx.doi.org/10.1159/000504037.

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Background: Continuous renal replacement therapy (CRRT) technique may affect circuit lifespan. A shorter circuit life may reduce CRRT efficacy and increase costs. Methods: In a before-and-after study, we compared circuit median survival time during continuous venovenous hemofiltration (CVVH) versus continuous venovenous hemodialysis (­CVVHD). We performed log-rank mixed effects univariate analysis and Cox mixed effect regression modeling to define predictors of circuit lifespan. Results: We compared 197 ­CVVHD and 97 CVVH circuits in 39 patients. There was no overall difference in circuit lifespan. When no anticoagulation was used, median circuit survival time was shorter for CVVH circuits (5 h, 95% CI 3–7 vs. 10 h, 95% CI 8–13, p < 0.01). Moreover, CVVHD, lower platelets levels, and longer activated partial thromboplastin time independently predicted longer circuit median survival time. Conclusions: CVVHD is associated with longer circuit median survival time than CVVH when no anticoagulation is used and is an independent predictor of circuit survival.
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2

Bierer, P., A. W. Holt, A. D. Bersten, J. L. Plummer, and A. H. Chalmers. "Haemolysis Associated with Continuous Venovenous Renal Replacement Circuits." Anaesthesia and Intensive Care 26, no. 3 (1998): 272–75. http://dx.doi.org/10.1177/0310057x9802600307.

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Extracorporeal circuits can cause haemolysis resulting in an increase in plasma-free haemoglobin (PFHb). High pressures and clots within the circuit have been identified as factors increasing the likelihood of haemolysis. Continuous venovenous haemodiafiltration (CVVHD) is associated with high circuit pressures as the pump-driven circuit clots over a period of time. PFHb was measured during CVVHD to determine if circuit life, maximum circuit pressure or the clotting of the haemofilter was associated with evidence of haemolysis. Circuit life up to 50 hours, circuit pressures or haemofilter clotting had no significant effect on PFHb. There was a small rise in PFHb in the circuits lasting beyond 50 hours. CVVHD circuits can be run up to 50 hours without concern for haemolysis.
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3

PRAMOD, M., and T. LAXMINIDHI. "LOW POWER CONTINUOUS TIME COMMON MODE SENSING FOR COMMON MODE FEEDBACK CIRCUITS." Journal of Circuits, Systems and Computers 19, no. 03 (2010): 519–28. http://dx.doi.org/10.1142/s0218126610006268.

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Continuous common mode feedback (CMFB) circuits having high input impedance and low distortion are proposed. The proposed circuits are characterized for 0.18 μm CMOS process with 1.8 V supply. Simulation results indicate that the proposed common mode detector consumes no standby power and CMFB circuit consumes 27–34% less power than previous high swing CMFB circuits.
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4

Kaczorek, Tadeusz. "SINGULAR FRACTIONAL CONTINUOUS-TIME AND DISCRETE-TIME LINEAR SYSTEMS." Acta Mechanica et Automatica 7, no. 1 (2013): 26–33. http://dx.doi.org/10.2478/ama-2013-0005.

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Abstract New classes of singular fractional continuous-time and discrete-time linear systems are introduced. Electrical circuits are example of singular fractional continuous-time systems. Using the Caputo definition of the fractional derivative, the Weierstrass regular pencil decomposition and Laplace transformation the solution to the state equation of singular fractional linear systems is derived. It is shown that every electrical circuit is a singular fractional systems if it contains at least one mesh consisting of branches with only ideal supercondensators and voltage sources or at least one node with branches with supercoils. Using the Weierstrass regular pencil decomposition the solution to the state equation of singular fractional discrete-time linear systems is derived. The considerations are illustrated by numerical examples.
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5

Jiao, Su Min, Cai Hong Wang, and Xue Mei Wang. "Large-Scale Analog Circuit Evolutionary Design Using a Real-Coded Scheme." Applied Mechanics and Materials 220-223 (November 2012): 2036–39. http://dx.doi.org/10.4028/www.scientific.net/amm.220-223.2036.

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Analog circuits are of great importance in electronic system design. Recent evolutionary design results are usually small-scale analog circuits. This paper proposes a real-coded mechanism and uses it in the large-scale analog circuit evolutionary design. The proposed scheme evolves the circuit topology and size to a uniformed continuous space, in which the circuit representation is closed and of causality. Experimental results show that the proposed scheme can work successfully on many analog circuits with different kinds of characteristics. Comparing with other evolutionary methods before, the proposed scheme performs better on large-scale problems of circuit synthesis with higher search efficiency, lower computational complexity, and less computing time.
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6

Kaczorek, T. "Positive time-varying continuous-time linear systems and electrical circuits." Bulletin of the Polish Academy of Sciences Technical Sciences 63, no. 4 (2015): 837–42. http://dx.doi.org/10.1515/bpasts-2015-0095.

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AbstractThe positivity of time-varying continuous-time linear systems and electrical circuits are addressed. Necessary and sufficient conditions for the positivity of the systems and electrical circuits are established. It is shown that there exists a large class of positive electrical circuits with time-varying parameters. Examples of positive electrical circuits are presented.
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7

Lu, Weijun, Ning Bao, Tangren Zheng, Xiaorui Zhang, and Yutong Song. "Memristor-Based Read/Write Circuit with Stable Continuous Read Operation." Electronics 11, no. 13 (2022): 2018. http://dx.doi.org/10.3390/electronics11132018.

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In recent years, computation-intensive applications, such as artificial intelligence, video processing and encryption, have been developing rapidly. On the other hand, the problems of “storage wall” and “power consumption wall” for the traditional storage and computing separated architectures limit the computing performance. The computational circuits and memory cells based on nonvolatile memristors are unified and become a competitive solution to this problem. However, there are various problems that prevent memristor-based circuits from entering practical applications, one of which is the memristor state deviation problem caused by continuous reading. In this paper, we study some circuits studied by predecessors on read/write circuit, compare the experimental results, analyze the reason for the resistance state deviation of memristor, and put forward a new parallel structure of memristor based on opposite polarity. The logic “1” and logic “0” are represented by the positive and negative voltage difference of two memristors with opposite polarity, which can effectively alleviate the problem of the resistance state deviation caused by continuous reading. A reading voltage of 2 V is applied to the four circuits at the same time, and continuous reading is carried out until the output voltage becomes stable. The voltage offset of the optimized circuit when reading logic “0” is reduced to 78 mV, which is significantly smaller than that of other circuits. In addition, when reading logic “1”, it has the effect of enhancing the information stored in the memristor.
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8

Baryshev, I. V., К. А. Scherbina, E. P. Msallam, M. А. Vonsovitch, and A. V. Odokienko. "The experimental research of filtration quality of doppler signal spectral structure by modu-lated filter." Radiotekhnika, no. 191 (December 22, 2017): 150–57. http://dx.doi.org/10.30837/rt.2017.4.191.14.

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The comparative analysis of quantitative assessments of filtering by six performance indices of filter circuits of continuous-wave Doppler signal of 1st order PLL, 2nd order PLL, FLL with narrow-band filter circuit quadrature FM-detector based on synchronized oscillator with forced frequency tuning is carried out. The total average performance indices of the circuit with SG exceeded any of the compared indices by 1.5 times, with a tenfold increase in separate parameters. At the same time the method of indices calculation of filter circuits with SG is developed and simple calculation formulas are obtained.
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9

Tymoshchuk, Pavlo, and s. Shatny. "Hardware Implementation of Parallelized Fuzzy Adaptive Resonance Theory Neural Network." Computer Design Systems. Theory and Practice, no. 1 (2020): 1–11. http://dx.doi.org/10.23939/cds2019.01.001.

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A hardware implementation design of parallelized fuzzy Adaptive Resonance Theory neural network is described and simulated. Parallel category choice and resonance are implemented in the network. Continuous-time and discrete-time winner-take-all neural circuits identifying the largest of M inputs are used as the winner-take-all units. The continuous-time circuit is described by a state equation with a discontinuous right-hand side. The discrete-time counterpart is governed by a difference equation. Corresponding functional block-diagrams of the circuits include M feed-forward hard- limiting neurons and one feedback neuron, which is used to compute the dynamic shift of inputs. The circuits combine arbitrary finite resolution of inputs, high convergence speed to the winner-take-all operation, low computational and hardware implementation complexity, and independence of initial conditions. The circuits are also used for finding elements of input vector with minimal/maximal values to normalize them in the range [0,1].
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10

Maass, Wolfgang, Thomas Natschläger, and Henry Markram. "Real-Time Computing Without Stable States: A New Framework for Neural Computation Based on Perturbations." Neural Computation 14, no. 11 (2002): 2531–60. http://dx.doi.org/10.1162/089976602760407955.

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A key challenge for neural modeling is to explain how a continuous stream of multimodal input from a rapidly changing environment can be processed by stereotypical recurrent circuits of integrate-and-fire neurons in real time. We propose a new computational model for real-time computing on time-varying input that provides an alternative to paradigms based on Turing machines or attractor neural networks. It does not require a task-dependent construction of neural circuits. Instead, it is based on principles of high-dimensional dynamical systems in combination with statistical learning theory and can be implemented on generic evolved or found recurrent circuitry. It is shown that the inherent transient dynamics of the high-dimensional dynamical system formed by a sufficiently large and heterogeneous neural circuit may serve as universal analog fading memory. Readout neurons can learn to extract in real time from the current state of such recurrent neural circuit information about current and past inputs that may be needed for diverse tasks. Stable internal states are not required for giving a stable output, since transient internal states can be transformed by readout neurons into stable target outputs due to the high dimensionality of the dynamical system. Our approach is based on a rigorous computational model, the liquid state machine, that, unlike Turing machines, does not require sequential transitions between well-defined discrete internal states. It is supported, as the Turing machine is, by rigorous mathematical results that predict universal computational power under idealized conditions, but for the biologically more realistic scenario of real-time processing of time-varying inputs. Our approach provides new perspectives for the interpretation of neural coding, the design of experiments and data analysis in neurophysiology, and the solution of problems in robotics and neurotechnology.
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