High-Speed Computer Arithmetic

Abstract "SMAC" (Sequential Multiple Analyzer plus Computer) is a high-speed computer-controlled multitest analyzer. A 20-channel prototype SMAC (glucose, urea nitrogen, creatinine, carbon dioxide content, total bilirubin, calcium, phosphorus, cholesterol, iron, uric acid, chloride, sodium, potassium, total protein, albumin, creatine kinase, alkaline phosphatase, lactate dehydrogenase, and aspartate and alanine aminotransferases) has been evaluated for: (a) method precision during within-day runs and on a day-to-day basis over a period of time; (b) method linearity over a range established on a chemical basis and related to clinical requirements, with use of both aqueous standards and protein matrix reference material; and (c) correlation of SMAC values with those obtained by the methods routinely in use in our department.

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High Speed, High Temperature, Fault Tolerant Operation of a Combination Magnetic-Hydrostatic Bearing Rotor Support System for Turbomachinery

Volume 6: Turbo Expo 2004 ◽

10.1115/gt2004-53321 ◽

2004 ◽

Cited By ~ 3

Author(s):

Mark Jansen ◽

Gerald Montague ◽

Andrew Provenza ◽

Alan Palazzolo

Keyword(s):

High Temperature ◽

High Speed ◽

Closed Loop ◽

Fault Tolerant ◽

Active Vibration Control ◽

Control Algorithms ◽

Displacement Sensors ◽

Rotor Support ◽

Active Vibration ◽

Speed Computer

Closed loop operation of a single, high temperature magnetic radial bearing to 30,000 RPM (2.25 million DN) and 540°C (1,000°F) is discussed. Also, high temperature, fault tolerant operation for the three axis system is examined. A novel, hydrostatic backup bearing system was employed to attain high speed, high temperature, lubrication free support of the entire rotor system. The hydrostatic bearings were made of a high lubricity material and acted as journal-type backup bearings. New, high temperature displacement sensors were successfully employed to monitor shaft position throughout the entire temperature range and are described in this paper. Control of the system was accomplished through a stand alone, high speed computer controller and it was used to run both the fault-tolerant PID and active vibration control algorithms.

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Preliminaries on the Accurate Estimation of the Hurst Exponent Using Time Series

10.36227/techrxiv.14334074.v1 ◽

2021 ◽

Author(s):

Ginno Millán ◽

Román Osorio-Comparán ◽

Gastón Lefranc

Keyword(s):

Time Series ◽

Hurst Exponent ◽

High Speed ◽

Mean Squared Error ◽

Computer Network ◽

Accurate Estimation ◽

Minimum Length ◽

Squared Error ◽

In Series ◽

Speed Computer

<div>This article explores the required amount of time series points from a high-speed computer network to accurately estimate the Hurst exponent. The methodology consists in designing an experiment using estimators that are applied to time series addresses resulting from the capture of high-speed network traffic, followed by addressing the minimum amount of point required to obtain in accurate estimates of the Hurst exponent. The methodology addresses the exhaustive analysis of the Hurst exponent considering bias behaviour, standard deviation, and Mean Squared Error using fractional Gaussian noise signals with stationary increases. Our results show that the Whittle estimator successfully estimates the Hurst exponent in series with few</div><div>points. Based on the results obtained, a minimum length for the time series is empirically proposed. Finally, to validate the results, the methodology is applied to real traffic captures in a high-speed computer network.</div>

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EFFICIENT PARALLEL ALGORITHM FOR SUPER HIGH SPEED COMPUTER GRAPHICS RENDERING USING GPGPU

Journal of Environmental Engineering (Transactions of AIJ) ◽

10.3130/aije.84.543 ◽

2019 ◽

Vol 84 (759) ◽

pp. 543-552

Author(s):

Shinichi KASAHARA ◽

Kan OKUBO

Keyword(s):

Computer Graphics ◽

Parallel Algorithm ◽

High Speed ◽

Graphics Rendering ◽

Speed Computer

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Representative Time Series Fractal Analysis of the Traffic Flows of a Dedicated High-Speed Link

10.31219/osf.io/svr6j ◽

2021 ◽

Author(s):

Ginno Millan ◽

manuel vargas ◽

Guillermo Fuertes

Keyword(s):

Time Series ◽

Traffic Flow ◽

Long Range ◽

Computer Networks ◽

Fractal Analysis ◽

High Speed ◽

Long Range Dependence ◽

Traffic Flows ◽

Speed Computer

Fractal behavior and long-range dependence are widely observed in measurements and characterization of traffic flow in high-speed computer networks of different technologies and coverage levels. This paper presents the results obtained when applying fractal analysis techniques on a time series obtained from traffic captures coming from an application server connected to the internet through a high-speed link. The results obtained show that traffic flow in the dedicated high-speed network link exhibited fractal behavior since the Hurst exponent was in the range of 0.5, 1, the fractal dimension between 1, 1.5, and the correlation coefficient between -0.5, 0. Based on these results, it is ideal to characterize both the singularities of the fractal traffic and its impulsiveness during a fractal analysis of temporal scales. Finally, based on the results of the time series analyzes, the fact that the traffic flows of current computer networks exhibited fractal behavior with a long-range dependence was reaffirmed.

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Developmental Outcome Prediction From Acoustic Cry Analysis in Term and Preterm Infants

PEDIATRICS ◽

10.1542/peds.80.4.529 ◽

1987 ◽

Vol 80 (4) ◽

pp. 529-534

Author(s):

Barry M. Lester

Keyword(s):

Fundamental Frequency ◽

High Speed ◽

Infant Development ◽

Developmental Outcome ◽

Term Infants ◽

Perceptual Performance ◽

The Mean ◽

Speed Computer ◽

Potential Use ◽

Bayley Scales

It has been suggested that the cry may reflect the neurophysiologic integrity of the infant and relate to later developmental outcome. In this study, the cry was recorded at term conceptional age in 18 preterm and 13 term infants using a standardized procedure and analyzed by high-speed computer. At 18 months of age, a significant number of infants were correctly classified as scoring high or low on the Bayley Scales of Infant Development based on the mean and variability in the fundamental frequency, variability in the first formant, and the amplitude of the cry. At 5 years of age, a significant number of infants were correctly classified on the McCarthy General Cognitive Index and on the verbal, perceptual-performance, and quantitative subscales based on the variability of the fundamental frequency, variability of the first formant, and amplitude and duration of the cry. Although preliminary, this study supports the potential use of the cry as a noninvasive measure to detect developmental outcome in the infant at risk.

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