Performance Optimization for Composite Services in Multiple Networks Environment

2010 ◽  
Author(s):  
Shuai Zhang ◽  
Jianling Sun ◽  
Dongming Lu ◽  
Yuanhong Shen ◽  
Aleksander J. Kavs
Keyword(s):  
Performance Optimization ◽  
Multiple Networks ◽  
Composite Services

Optimizing Performance of Composite Services in Multiple Networks Enterprise Environment

2011 ◽  
Vol 10 (4) ◽  
pp. 807-815
Author(s):  
Shuai Zhang ◽  
Jianling Sun ◽  
Yuanhong Shen ◽  
Yixi Chen ◽  
Aleksander J. Kavs
Keyword(s):  
Multiple Networks ◽  
Composite Services

The Multilevel p2 Model

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 42-47 ◽  
Author(s):  
Bonne J. H. Zijlstra ◽  
Marijtje A. J. van Duijn ◽  
Tom A. B. Snijders
Keyword(s):  
Social Network ◽  
Network Data ◽  
Mcmc Algorithm ◽  
Independent Observation ◽  
Single Observation ◽  
Multiple Networks ◽  
Social Network Data ◽  
Multiple Observations ◽  
Practical Support ◽  
The Social

The p 2 model is a random effects model with covariates for the analysis of binary directed social network data coming from a single observation of a social network. Here, a multilevel variant of the p 2 model is proposed for the case of multiple observations of social networks, for example, in a sample of schools. The multilevel p 2 model defines an identical p 2 model for each independent observation of the social network, where parameters are allowed to vary across the multiple networks. The multilevel p 2 model is estimated with a Bayesian Markov Chain Monte Carlo (MCMC) algorithm that was implemented in free software for the statistical analysis of complete social network data, called StOCNET. The new model is illustrated with a study on the received practical support by Dutch high school pupils of different ethnic backgrounds.

Performance Optimization of Semi-Custom Memory in 7nm FPGA

2020 ◽  
Author(s):  
Sourabh Aditya Swarnkar ◽  
Mohammad Anees ◽  
Kumar Rahul ◽  
Santosh Yachareni
Keyword(s):  
Performance Optimization

Performance Optimization of a Split-Type Low-Shock Separation Bolt

2020 ◽  
pp. 1-8
Author(s):  
Dae-Hyun Hwang ◽  
Jae-Hung Han ◽  
Juho Lee ◽  
YeungJo Lee ◽  
Dongjin Kim
Keyword(s):  
Performance Optimization
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