Sampling interval
Economic-statistical Design of NP Control Chart with Variable Sample Size and Sampling Interval
... constant sampling intervals were used to identify the changes in the ...different sampling schemes for achieving a better ...variable sampling schemes but it is also important to consider how the ...
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The Effect of Measurement Errors on the Performance of Variable Sample Size and Sampling Interval Control Chart
... The effect of measurement errors on adaptive and non-adaptive control charts has been occasionally considered by researchers throughout the years. However, that effect on the variable sample size and sampling ...
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Singular spectrum analysis for identifying structural nonlinearity using free-decay responses : Application detection and diagnosis in composite laminates
... SSA is applied in this study to develop a methodology for damage and delamination assessment in composite laminate structures. The developed methodology is able to detect structure changes in the vibratory response of ...
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A TRANSMISSION POWER LEVEL AWARE APPROACH TO MAXIMIZE THE LIFETIME OF WIRELESS SENSOR NETWORK
... converted into two-byte digital data. Since there are three sensors, there will be six bytes of the sensed information. Along with these, two data bytes are used for providing the information regarding the power consumed ...
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Multi objective modulated Model Predictive Control for a multilevel solid state transformer
... the sampling frequency, dependant from system parameters and load ...the sampling interval resulting in a degradation of the converter output voltage THD, especially when compared to a PWM technique ...
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Litter studies in the southern forests of Tasmania
... Relationship between log bark and twig -accession and· log mean maximum _temperature per sampling interval at Sites 1, 2, 3, and 4.. Analysis of variance:.[r] ...
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4a533b1056d22d6e28b345b1f2efce443efea6eb.pdf
... Vickery and Twisdale (1995) introduced the STM, an alternative methodology for applications to hurricane wind hazards within the USA. Unlike the JPM, which uses an ordered set of tracks such that a sequence of each ...
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A Pure Jump Transaction Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects
... termine the jump sizes in the pure-jump log-price process. Our model includes feedback between the disturbances of the two log-price series at the transaction level, which induces standard or fractional cointegration for ...
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A Model of Security Adaptation for Limited Resources in Wireless Sensor Network
... the sampling interval and the sampling interval of the battery is equal to the lowest threshold adaptation of the battery, this condition is ideal, so that the system does not implement ...
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Signal Generation and Timing Control of HF Radar
... the sampling pulses are generated at the proper time by the ...and sampling interval are recorded along with the raw ...generate sampling pulses at the required ...
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Land slide disaster in eastern Uganda: rapid assessment of water, sanitation and hygiene situation in Bulucheke camp, Bududa district
... a sampling interval of house- holds was determined and respondents (households’ heads) were identified and interviewed using pre- designed semi-structured ...
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Dynamic Perfusion CT: Optimizing the Temporal Resolution and Contrast Volume for Calculation of Perfusion CT Parameters in Stroke Patients
... temporal sampling interval for current commercial CT scanners is 4–5 ...temporal sampling interval superior to 4 seconds and at bolus volumes less than 60 mL, the current toggling-table ...
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A Pure Jump Transaction Level Price Model Yielding Cointegration, Leverage, and Nonsynchronous Trading Effects
... The discretely-sampled returns (i.e., the increments in the log-price series) in our model are not Mar- tingale differences, due to the microstructure noise term. Instead, for small values of ∆t they may exhibit ...
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Identification of a spatio-temporal model of crystal growth based on boundary curvature
... variable sampling interval is introduced in this ...new sampling interval, which is used in the second calculation, is re-assigned based on a nonlinear model to provide the best h for each ...
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Economic Statistical Design of Control Chart using Genetic Algorithm
... (n), sampling interval (h), and control limits width ...of sampling, inspection, checking for out of control signals, and cost of non-conforming units reaching the ...non-uniform sampling ...
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Design of high-performance networked real-time control systems
... one sampling interval T, we treat the time delay as T and model the system as an ordinary time invariant control system with time delay ...one sampling interval, we can estimate this time ...
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A New Technique Based on Grey Model for Forecasting of Ionospheric GPS Signal Delay Using GAGAN Data
... seconds sampling interval corresponding to several consecutive days from five TEC stations, namely, Bangalore, Delhi, Hyderabad, Ahmedabad and Trivandrum, are considered ...
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... the sampling interval (h) and the control limit coefficient (k), that lead to the optimal monitoring ...this sampling strategy significantly reduces the monitoring ...
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Point and interval estimates of abundance using multiple covariate distance sampling: an example using great bustards
... Description of computations to produce sex-specific estimates of density from a multiple-covariate distance sampling analysis. Program Distance 5.0 has limited capacity to bootstrap certain types of analytical ...
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ISSN: 2321-8363 Impact Factor: 4.123
... Monte Carlo methods provide approximate solutions to a variety of mathematical problems by performing statistical sampling experiments. They can be loosely defined as statistical simulation methods, where ...
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