# Introduction to Meta Model

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## Meta Model sentence examples within Existing Meta Model

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While the existing meta model focused on static quality measures, the extension of the meta model now also captures dynamic measures which accumulate during feature execution.

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## Meta Model sentence examples within Underlying Meta Model

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We introduce an assessment procedure, its underlying meta model, and a corresponding instantiation to structure this multi-dimensional design space.

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In the previous chapter, you have seen that changing the way we write queries cannot be separate from the structure of the underlying meta model.

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## Meta Model sentence examples within Simulation Meta Model

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A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.

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A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.

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We propose a framework that presents a meta model to decompose sustainability requirements and an assessment approach to evaluate sustainability achievements.

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A customized stacked model is created to train production models with an extreme gradient boosting regressor as the base model and linear regressor as the meta model.

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MAML is one of the most popular meta-learning algorithms that estimates initialization parameters for a meta model to be used by similar newer tasks for faster adaptation.

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In order to integrate their individual strengths, DeepVF effectively combines these baseline models to construct the final meta model using the stacking strategy.

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Logistic regression algorithm was applied for the meta model.

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Finally, the optimal parameters of the bionic corrugated sandwich structures were obtained by using the multi-objective particle swarm optimization method based on a polynomial regression (PR) meta model.

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This study also shows that the weighted meta model outperforms several machine learning models in terms of R2, MAE and RSME.

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By using a set of meta tasks with rich training samples, Meta-MO trains a meta model through the meta-learning optimization and adapts the learned model to new low-resource MO tasks.

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To achieve this objective, (1) this study explored the predictors of senile anxiety using base models and meta models.

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Aiming at the difficulties of data integration and consistency maintenance caused by product BOM differences, based on the analysis of product data meta-models and product requirements, the data meta models in the stages of product design, process manufacturing, sales and operation, and maintenance services are Foundation, put forward a unified meta-model that supports the full life cycle of the product, and verify the validity of the model through product examples.

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The lower efforts and lower risk of errors in the code provided by high level meta modeling allows to speed up the development cycle and required application dependent adaptations of signal generation in carrier frequency based capacitive sensor front-ends.

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The paper presents simply Meta model of workplace spirituality with short snap of authors, key findings, basic model and propositions based on the reviewed literature.

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Various passive design factors were considered to better reflect the actual phenomenon, and a novel simulation modeling method which includes building model simplification and meta model was developed for an accurate and fast calculation of optimization.

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The meta model formed by the metaheuristic and classification techniques shows an improvement in accuracy performance at a high rate, as compared to non-metaheuristic models.

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Particularly, a meta model is proposed.

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Durch eine Verschiebung der fur die eventbezogene Wirkungsforschung typischen „Controller-Perspektive“ vom Beobachten zum Gestalten, ausgehend von den erwunschten Zielen, kann es das betreffende Methodenspektrum des Eventmanagements in sinnvoller Weise erganzen und eignet sich, im Sinne eines „Meta Modells“, fur die Erreichung von Nachhaltigkeitszielen von Sport- und Kulturevents.

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Aerodynamic robustness optimization of centrifugal compressor impeller under multiple uncertainties is an arduous task, due to high dimension, meta modelling workload and trial and error optimization, and an automatic optimization process is often treated as a black box, the underlying mechanism are often not well understood and explored.

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This is accomplished by sampling the space of component performance, here represented by eigenvalues and eigenvectors of stiffness matrices, and establishing meta models that map the relevant component performance values onto feasibility and mass estimates.

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Radial basis function (RBF) and the Kriging model are built as the meta models, and the cross validation strategy is applied to calculate the global errors and the local errors of samples.

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In the second approach “SATBIM”, a fully automated data exchange workflow is established between a parametric multi-level information model for tunnelling and multi-level numerical models based on both Finite Element and Isogeometric Analysis, where meta models are employed for real-time design assessment.

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First, the intrinsic semantic relationship of each object in the sticker is established by an Object-Orient Meta Model.

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The proposed meta modeling framework is able to identify hyper-parameter configurations with a weighted trade-off between prediction accuracy and computational cost.

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The aim of this paper is therefore to describe a concept how modelers of information systems can be supported in the selection and use of IHE profiles and how this concept was prototypically implemented in the "Three-layer Graph-based meta model" modeling tool (3LGM2 Tool).

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As an extension to the proposed approach, the ontological meta model of the cyber risk concept is developed.

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The first level contains seven different base ML algorithms predicting each subject's pain category based on the input PPG characteristics and other clinical information, while the second level is a meta model which uses the inputs to the first-level model along with the outputs of the base models to produce the final prediction.

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For this reason, this paper presents an ontology based upon graphs, objects, points, properties, roles, and relationships with entensions (GOPPRRE), providing meta models that support the various lifecycle stages of MBSE formalisms.

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In order to avoid conflicts between these project vocabularies and the JATS, we reviewed the MECA vocabularies against the NISO JATS Compatibility Meta Model (v0.

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Particularly a Meta Model is proposed.

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, nucleation, micro-crack, technical, and crack initiation, that allow a quantification and meta model development of both the individual stages and the entire crack nucleation process.

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A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.

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While the existing meta model focused on static quality measures, the extension of the meta model now also captures dynamic measures which accumulate during feature execution.

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The proposed method uses Response Surface method based meta models for the analysis allowing high computational efficiency compared to that of the Monte Carlo methods.

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Connections of formal concept analysis with Meta Meta Model architectures and high-dimensional polytopes are exposed.

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Meta modeling technique is highly beneficial that helps to define things at an abstract level and helps in sorting out the associated problems by identifying major components and reducing complexity to requirement engineer.

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In this paper, a GOPPRR approach is proposed to describe system characteristics and system development based on meta-models for different architecture descriptions using meta-meta models including Graph, Object, Point, Property, Role, and Relationship.

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We introduce an assessment procedure, its underlying meta model, and a corresponding instantiation to structure this multi-dimensional design space.

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In the current study, classical models and meta model approaches (i.

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A genetic algorithm is used for the optimization, integrated with a meta model which predicts the objective functions quickly.

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We integrate our findings by developing a conceptual modeling language consisting of a meta model and a notation that facilitates the specification and design of autonomous agents within the IoT as well as CPS: the autonomy model and notation.

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The contribution of this paper is to provide a meta model as a first groundwork for a possible Blockchain implementation for supply chain traceability purposes.

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In the previous chapter, you have seen that changing the way we write queries cannot be separate from the structure of the underlying meta model.

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These initial meta models are utilized for the development of intermediate models.

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We propose to categorize content objects and relationships uniformly as typed resources of data, information, and knowledge, according to our formalized DIKW architecture composing a meta model of DIKW and extended Data Graph, Information Graph and Knowledge Graph.

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The analysis is based on `meta models' obtained using model-averaging techniques and judged by various statistical and economic criteria, including a novel criterion based on a fair bet.

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The paper presents an investigation of the temporal transferability of activity scheduling process models and a Meta model of activity scheduling processed by using repeated cross-sectional datasets.

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Accordingly, the ISPs’ business model, in the scope of connectivity service providers, based on the selected meta model (Hedman and Kalling’s ontology) at the industry level is analyzed.

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a four-stage model for the design of trusted processes and a related meta model.

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We illustrate the use of multi-level modeling on the basis of a multi-level reference model for smart grid cybersecurity created using the Flexible Meta Modeling and Execution Language (FMMLx), and briefly showcase an implementation in the integrated modeling and programming environment XModeler.

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Modal Meta Model Checking (M3C) is a method and tool supporting meta-level product lining and evolution that comprises both context-free system structure and modal refinement.

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Although one term is insufficient to fully capture hyperelastic models with higher number of terms, the resulting meta model is stable for real-time simulation within a wider range of stretches captured during mechanical characterisation of soft tissue.

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A comprehensive simulation meta model for transition planning and decision analysis is proposed and outlined.

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Dimana UML merupakan keluarga notasi grafis yang didukung oleh meta model tunggal yang membantu pendeskripsian dan desain sistem perangkat lunak, khususnya untuk sistem yang dibangun dengan menggunakan pemrograman berorientasi obyek.

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In recent years, Meta models are widely used to reduce the computational cost of the reliability analysis by predicting the system responses using a surrogate model.

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Specifically, in the case where the parameters of meta models are identified, the linear least-squares formulation receives wide appreciation among engineers due to its simple yet powerful formulation and solution.

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As results of the GMDH, the correlation coefficients of meta models of the separation efficiency and the pressure drop were 98.

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In the context of the Gaussian regression model, the package RKHSMetaMod allows to estimate a meta model by solving the ridge group sparse optimization problem based on the Reproducing Kernel Hilbert Spaces (RKHS).

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The meta model encapsulates the objective function, the surrogate model and the model of the substitution strategy, as well as components for learning them.

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While all these contributions are highly relevant for knowledge seeking efforts, what is missing is a meta model that accounts for all elements of investigation.

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The determined attack classes are ultimately mapped to a dedicated APT attacker/defender meta model that considers actions, actors, as well as assets and mitigating controls, thereby enabling decision support and contextual interpretation of ongoing attacks.

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The hybrid meta heuristic is coupled with response surface methodology (or meta modeling) to solve the mechanical multi-objective optimization problem of hat stiffened composite panel.

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The methodology is carried out through variable business domain use case meta modeling, variable applications family use case meta modeling, and variable specific application use case generating.

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Meta models were constructed and uncertainty quantification process was adopted by the support of Sobol’s sensitivity indices considering five uncertain parameters by exploiting Box-Behnken experimental method.

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CARINA is a metacognitive architecture for artificial intelligent agents, obtained from the MISM Metacognitive Meta model.

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The results feature an UML meta model as a first step toward implementing of a digital twin for battery systems.

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鉄道車輪がレール上を繰返し通過すると,車輪踏面およ びレール頭頂面双方に転がり接触疲労(RCF)によってき 裂が発生する。これらのき裂は,大きな塑性せん断ひずみ の累積によって発生し,最初は高いせん断応力によって誘 起される微細構造の塑性流動方向に成長する。このき裂の 発生と初期の成長段階においては,き裂成長と摩耗の競合 が起こる 。両者はいずれも車輪とレールの転がり-滑り 接触領域内の負荷と関連があり,条件によってはき裂成長 が継続するか,摩耗によってき裂が消滅する場合がある。 走行線区によって異なる接触領域内の負荷によって起こ る,このようなき裂の挙動が正確に解明できれば,安全性 の確保と同時に,効率的な保守計画の作成も可能となる。 そのため,転がり-滑り接触条件下におけるき裂と摩耗の 競合をシミュレーションするためのモデルが多数開発され ている。 Franklinら は,二次元としたレール断面内に“brick”と 呼ぶ数多くの区画を形成し,その区画内においてRCFで起 こる,ラチェッティングによる塑性増分に基づく定式化を 行った“brick model”を開発した。もしbrickが限界せん断 ひずみに達すれば“weak”とし,破壊したと考える。それら “weak brick”と破壊しない“healthy brick”のパターンから, レール材料が表面から摩耗粉として取り去られるか,レー ル内部にき裂状欠陥を形成するかを予測した。Burstowら 3) は,レールにおけるRCFき裂と摩耗の競合を予測するため の“whole life rail model”を開発した。このモデルでは,Tγ とRCFき裂が発生するための損傷との関係を表す“損傷関 数”が提案されている。ここでTおよび γは,それぞれ車輪 /レール接触領域内のせん断力およびクリープである。こ の“損傷関数”は,その大きさによって,(i)それ以下では RCF損傷が起こらない下限界,(ii)RCF損傷が線形的に増 大する領域,(iii)損傷量が摩耗によって減少する領域,お よび(iv)損傷を受けた材料が摩耗によって完全に取り除 かれる領域に分類され,走行線区ごとにレール表面におけ るRCFき裂の挙動を予測することができる。Mazzùら は, 車輪内で相互作用を及ぼす種々の損傷の統合モデルを提案 した。その手法は摩耗,繰返し塑性,表面および表面直下 の疲労き裂発生モデルに基づき,それら各損傷モデル間の 入力と出力を交換するものである。摩耗はArchardモデル によって評価し,き裂は線形弾性破壊力学(LEFM)によっ て評価している。Karttunenら は,レールゲージコーナお よび車輪フランジ底のRCFおよび摩耗に関する損傷を予 測する“meta model”を提案した。RCFはシェイクダウンに 論 文.

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Following a design-oriented research approach, the requirements were evaluated and used to design a BPMN extension by implementing the quality indicator enhancements as BPMN meta model extension.

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KEywoRdS ABAC, Access Control, Architecture, Extension, Internet of Things, IOT, Meta Model, Rules, Security.

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This chapter proposes a meta model on concept cell that provides a meta organisation of knowledge in natural and artificial intelligent systems structurally.

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