A Service Registry Meta-model Framework for Interoperability

2011 ◽  
Author(s):  
Zaiwen Feng ◽  
Rong Peng ◽  
Bing Li ◽  
Keqing He ◽  
Chong Wang ◽  
...  
Keyword(s):  
Model Framework ◽  
Meta Model

A Value-Driven Modeling Approach for Crossover Services

2020 ◽  
Vol 17 (3) ◽  
pp. 20-38
Author(s):  
Zhengli Liu ◽  
Bing Li ◽  
Jian Wang ◽  
Yu Qiao
Keyword(s):  
Service Industry ◽  
Requirements Analysis ◽  
Model Framework ◽  
Modeling And Analysis ◽  
Meta Model ◽  
Value Network ◽  
Analysis And Design ◽  
Requirements Modeling ◽  
A Value

In recent years, crossover services have attracted wide attention as an emerging service mode in the modern service industry. Crossover services can offer values that cannot be provided by single-domain services, and they usually need to cross the boundaries of domains, organizations, and processes, which puts forward more challenges for requirements modeling and analysis under the crossover scenarios. Given the characteristics of crossover services, the authors propose a value-driven meta-model framework from multiple viewpoints to support the requirements analysis of crossover services, which consists of three parts: a value network, a goal network, and a service network. Based on the proposed meta-model framework, a value-driven crossover service modeling tool is developed to help requirements analysts in requirements analysis and design, and a case study is presented to illustrate the usage of the proposed approach. Finally, we evaluate our methods and tools using a controlled experiment, and the experimental results show the effectiveness of the approach.

scholarly journals A Meta-model Framework forGrinding Simulation

Procedia CIRP ◽  
2015 ◽  
Vol 31 ◽  
pp. 357-362 ◽  
Author(s):  
Marco Leonesio ◽  
Majid Sarhangi ◽  
Giacomo Bianchi ◽  
Paolo Parenti ◽  
Alberto Cassinari
Keyword(s):  
Model Framework ◽  
Meta Model

Optimizing chute-flip bucket system based on meta-modelling approach

2020 ◽  
Vol 47 (5) ◽  
pp. 584-595
Author(s):  
Mohammad Bananmah ◽  
Mohammad Reza Nikoo ◽  
Banafsheh Nematollahi ◽  
Mojtaba Sadegh
Keyword(s):  
Energy Dissipation ◽  
Optimal Design ◽  
Numerical Model ◽  
Computational Time ◽  
Optimization Approach ◽  
Efficient Design ◽  
Model Framework ◽  
Meta Model ◽  
Optimal Geometry ◽  
3D Numerical Model

Optimal design of chute-flip bucket (CFB) system depends on various parameters, among which energy dissipation and cavitation prevention are the most important. This study develops a simulation-optimization model based on a calibrated Flow-3D numerical model, multi-layer perceptron artificial neural network (MLP-ANN), and genetic algorithm (GA) optimization approach for determining the optimal geometry of the CFB system. To alleviate the computational time burden of the Flow-3D numerical model, a MLP-ANN meta-model is developed based on some limited simulations of Flow-3D. The meta-model framework is then coupled with GA to provide an efficient design framework for the CFB system. The proposed framework is employed to design optimal geometry of the CFB system of the Jareh dam in Ahvaz, Iran. The results show that the obtained optimal design increases the cavitation index up to 30% and energy dissipation up to 32% compared to the old engineering design already in place.

scholarly journals Meta-Model Framework for Surrogate-Based Parameter Estimation in Dynamical Systems

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 181829-181841
Author(s):  
Ziga Luksic ◽  
Jovan Tanevski ◽  
Saso Dzeroski ◽  
Ljupco Todorovski
Keyword(s):  
Parameter Estimation ◽  
Dynamical Systems ◽  
Model Framework ◽  
Meta Model

General Meta-Model Framework for Surrogate-Based Numerical Optimization

2017 ◽  
pp. 51-66
Author(s):  
Žiga Lukšič ◽  
Jovan Tanevski ◽  
Sašo Džeroski ◽  
Ljupčo Todorovski
Keyword(s):  
Numerical Optimization ◽  
Model Framework ◽  
Meta Model
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