Perfect match model based link assignment for optical satellite network

Perfect match model-based link assignment to design topology for satellite constellation system

International Journal of Satellite Communications and Networking ◽

10.1002/sat.1117 ◽

2015 ◽

Vol 34 (2) ◽

pp. 263-276 ◽

Cited By ~ 2

Author(s):

Zhe Liu ◽

Wei Guo ◽

Changlin Deng ◽

Weisheng Hu ◽

Yanbin Zhao

Keyword(s):

Perfect Match ◽

Satellite Constellation ◽

Model Based ◽

Match Model

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Penerapan Model Make a Match Berbasis Saintifik Untuk Meningkatkan Hasil Belajar Tematik Siswa

WACANA AKADEMIKA Majalah Ilmiah Kependidikan ◽

10.30738/wa.v2i2.3114 ◽

2018 ◽

Vol 2 (2) ◽

pp. 186

Author(s):

Shafira Dwintha Aulia ◽

Wahyudi Wahyudi ◽

Indri Purwanti

Keyword(s):

Action Research ◽

Data Collection ◽

Learning Outcomes ◽

Class Action ◽

Learning Activities ◽

Analysis Techniques ◽

Model Based ◽

Match Model ◽

Field Notes ◽

Thematic Learning

This research aims to improve the thematic learning outcomes of grade 1 students of SDN Salatiga 05 by implementing the Make a Match model based on scientific. Type of this research is class action research with Stringer model includes look, think and act. Data collection instruments used formative tests, observation, and field notes. Analysis techniques using comparative descriptive. The subjects of research were students of grade 1 SDN Salatiga 05. The results of the study found an increase in the percentage of the students learning activities in the first cycle of 79,35% and the second cycle increased to 84,71%. Students activities increased have an impact on thematic learning outcomes completeness shown in the first cycle of 71%, and increased to 86% in the second cycle. Based on these results, the Make a Match model based on scientific can improve students thematic learning outcomes.

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Scaling Methods for Matching Tasks in Turbocharged Engines

Volume 1B: Marine; Microturbines, Turbochargers and Small Turbomachines; Steam Turbines ◽

10.1115/gt2014-25224 ◽

2014 ◽

Author(s):

Thibaut Njoya ◽

Mehdi Nakhjiri ◽

Peter F. Pelz ◽

Robert Frase

Keyword(s):

Control Strategies ◽

Calibration Procedure ◽

Standard Test ◽

Scaling Method ◽

Model Based ◽

Matching Process ◽

Match Model ◽

Physically Based ◽

Scaling Methods ◽

Key Parameter

Specific turbocharger parameters are necessary to develop and match model based control strategies in the air path of a turbocharged engine. These parameters describe the turbocharger performance and are obtained from measurements on manufacturers’ standard test benches under steady state conditions and without taking into account the heat transfer between the components of the turbocharger or between the turbocharger and the surroundings. The latter falsifies the measured turbocharger efficiency which can be referred as “apparent efficiency”. The efficiency is a key parameter of the model based controls. Thus, the apparent efficiency increases the uncertainties (mismatching) and slows down the matching process considerably. Due to the mismatching, manufacturers’ parameters themselves need to be calibrated. The calibration occurs on the basis of on-board measurements and offline analyses. However, this calibration procedure is not axiomatic and the results remain typical for a certain turbocharger and engine combination. Hence, it is usually not possible to apply the results when the same turbocharger should be matched with another engine. A physically based scaling method has already been introduced in previous publications in order to obtain the “real” from the “apparent” efficiency, [1]. This work aims to show on the basis of a concrete example how the implementation of this method counteracts the mismatching without any further measurements. As a result, the matching process can be accelerated and enhanced. The reusability of the results leads to faster processes and lower costs.

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An advanced LEO satellite network model based on MPLS-TP

2010 International Conference on Advanced Intelligence and Awareness Internet (AIAI 2010) ◽

10.1049/cp.2010.0792 ◽

2010 ◽

Author(s):

Xinfeng Yan ◽

Yongjun Zhang ◽

Gang Zhou ◽

Taoyan Bai ◽

Zhihui Zhang ◽

...

Keyword(s):

Network Model ◽

Satellite Network ◽

Model Based ◽

Leo Satellite

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A graph-model-based structure vulnerability Analyzing method on satellite network

2010 IEEE Youth Conference on Information, Computing and Telecommunications ◽

10.1109/ycict.2010.5713084 ◽

2010 ◽

Author(s):

Xiang Li ◽

Bai Lin ◽

DaQi Li

Keyword(s):

Graph Model ◽

Satellite Network ◽

Model Based

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Representation, abstraction, and simple-minded sophisticates

Behavioral and Brain Sciences ◽

10.1017/s0140525x19002942 ◽

2020 ◽

Vol 43 ◽

Author(s):

Peter Dayan

Keyword(s):

Decision Theory ◽

Predictive Coding ◽

Bayesian Decision Theory ◽

Bayesian Decision ◽

Model Based ◽

Model Free

Abstract Bayesian decision theory provides a simple formal elucidation of some of the ways that representation and representational abstraction are involved with, and exploit, both prediction and its rather distant cousin, predictive coding. Both model-free and model-based methods are involved.

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Quantitative Model-Based Image Analysis of NuMa Distribution Links Nuclear Organization with Cell Phenotype

Microscopy and Microanalysis ◽

10.1017/s1431927600028968 ◽

2001 ◽

Vol 7 (S2) ◽

pp. 578-579

Author(s):

David W. Knowles ◽

Sophie A. Lelièvre ◽

Carlos Ortiz de Solόrzano ◽

Stephen J. Lockett ◽

Mina J. Bissell ◽

...

Keyword(s):

Image Analysis ◽

Mammary Epithelial Cells ◽

Nuclear Organization ◽

Critical Role ◽

Quantitative Model ◽

Mammary Epithelial ◽

Cell Phenotype ◽

Proliferating Cells ◽

Mitotic Apparatus ◽

Model Based

The extracellular matrix (ECM) plays a critical role in directing cell behaviour and morphogenesis by regulating gene expression and nuclear organization. Using non-malignant (S1) human mammary epithelial cells (HMECs), it was previously shown that ECM-induced morphogenesis is accompanied by the redistribution of nuclear mitotic apparatus (NuMA) protein from a diffuse pattern in proliferating cells, to a multi-focal pattern as HMECs growth arrested and completed morphogenesis . A process taking 10 to 14 days.To further investigate the link between NuMA distribution and the growth stage of HMECs, we have investigated the distribution of NuMA in non-malignant S1 cells and their malignant, T4, counter-part using a novel model-based image analysis technique. This technique, based on a multi-scale Gaussian blur analysis (Figure 1), quantifies the size of punctate features in an image. Cells were cultured in the presence and absence of a reconstituted basement membrane (rBM) and imaged in 3D using confocal microscopy, for fluorescently labeled monoclonal antibodies to NuMA (fαNuMA) and fluorescently labeled total DNA.

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