Linear Transformations

Andrilli, Stephen

doi:10.1016/b978-0-12-800853-9.00005-0

Cited by 3 publications

(2 citation statements)

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“…Such differences in the growth rate appear to be due the differences in the function and functional requirement of each body dimension [13][14][15][16][17]. Biplot demonstration showed that the wing component of female Bali duck such as radius ulna, tarsal and humerus have slower growth rates as compared to the leg components which are required to be functional earlier such as digital 2, 3 and 4.…”

Section: Resultsmentioning

confidence: 99%

Biplot Simulation to Determine the Growth Rate of Body Dimension in Local Bali Ducks

Putu-Sampurna¹

2016

J Biom Biostat

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Biplot simulation using factor analysis rotation promax kapa 90 was conducted to determine the growth rate of body dimension in female Bali duck of 0-16 week-old. The result of the biplot simulation showed that the body dimension of female Bali ducks that belongs to slow growth rate was in quadran II including the length of radius ulna, femur, tarsal and humerus. The body dimensions of female Bali ducks with the moderate growth rates were in quadrant I such as the length of carpal, chest circumference, body weight, the length necks, the length of digital 1 and the length of head. The body dimension with fast growth rate such as head circumference, neck circumference, abdominal circumference, and the length of digital 2, 3 and 4, and the length of tibia-fibula. Based on the ages, the coordinates distances in two dimension Eigen vector space were as follows. At the most distance position was at the age of 0-2 weeks, followed by the age of 2-4 weeks, and finally with closest distance was at the age of maturity.

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Section: Resultsmentioning

confidence: 99%

Biplot Simulation to Determine the Growth Rate of Body Dimension in Local Bali Ducks

Putu-Sampurna¹

2016

J Biom Biostat

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“…To overcome server consolidation problem, the algorithm computes a minimum number of block www.ijacsa.thesai.org mr (Line-10), which are obtained from v1 and v2 that corresponds to the sum of all stationary distribution from 1 to (k-1) and 1 to k respectively. The stationary distribution is obtained by applying row reduction method [30]. Minimum resource block is then computed considering the input parameters of i) k (all numbers of VMs allowed on physical servers), ii) switching state S 1 from OFF state to ON state, iii) switching state S 2 from ON state to OFF state, and minimum resource mr (Line-12) that is finally sorted to obtain the better resource block (Line-14).…”

Section: Endmentioning

confidence: 99%

Framework of Resource Management using Server Consolidation to Minimize Live Migration and Load Balancing

Ngenzi¹,

Selvarani²,

Suchithra³

2016

ijacsa

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Abstract-Live Migration is one of the essential operations that require more attention to addressing its high variability problems with virtual machines. We review the existing techniques of resource management to find that there are less modeling to solve this problem. The present paper introduces a novel framework that mainly targets to achieve a computational effective resource management technique. The technique uses the stochastic approach in modelling to design a new traffic management scheme that considers multiple traffic possibilities over VMs along with its switching states. Supported by an analytical modelling approach, the proposed technique offers an efficient placement of virtual machine to the physical server, performs the computation of blocks, and explores reduced resource usage. The study outcome was found to possess potential reduction in live migration, more extent of VM mapping with physical servers, and increased level of capacity.

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Analyzing Supply Quality Improvements in ETO Companies That Switch to Mass Customization via AI Techniques

Ramírez de Esparza,

García Alcaraz,

Sáenz Diez-Muro

et al. 2022

Studies in Systems, Decision and Control

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Linear Transformations

Cited by 3 publications

References 0 publications

Biplot Simulation to Determine the Growth Rate of Body Dimension in Local Bali Ducks

Biplot Simulation to Determine the Growth Rate of Body Dimension in Local Bali Ducks

Framework of Resource Management using Server Consolidation to Minimize Live Migration and Load Balancing

Analyzing Supply Quality Improvements in ETO Companies That Switch to Mass Customization via AI Techniques

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