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Journal articles on the topic 'Meta-model transformation'
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Gîrba, Tudor, Jean-Marie Favre, and Stéphane Ducasse. "Using Meta-Model Transformation to Model Software Evolution." Electronic Notes in Theoretical Computer Science 137, no. 3 (September 2005): 57–64. http://dx.doi.org/10.1016/j.entcs.2005.07.005.
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ZHAO, Zong-min, Hai-tao WU, and Yang WANG. "Transformation from SPEM to extended workflow meta-model." Journal of Computer Applications 30, no. 3 (April 1, 2010): 617–19. http://dx.doi.org/10.3724/sp.j.1087.2010.00617.
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Tesoriero, Ricardo, Gabriel Sebastian, and Jose A. Gallud. "TagML—An Implementation Specific Model to Generate Tag-Based Documents." Electronics 9, no. 7 (July 5, 2020): 1097. http://dx.doi.org/10.3390/electronics9071097.
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This article describes TagML, a method to generate collections of XML documents using model-to-model (M2M) transformations. To accomplish this goal, we define the TagML meta-model and the TagML-to-XML model-to-text transformation. While TagML models represent the essential characteristics of collections of XML documents, the TagML-to-XML transformation generates the textual representation of collections of XML documents from TagML models. This approach enables developers to define model-to-model transformations to generate TagML models. These models are turned into text applying the TagML-to-XML transformation. Consequently, developers are able to use declarative languages to define model-to-text transformations that generate XML documents, instead of traditional archetype-based languages to define model-to-text transformations that generate collections of XML documents. The TagML model editor as well as the TagML-to-XML transformation were developed as Eclipse plugins using the Eclipse Modeling Framework. The plugin has been developed following the Object Modeling Group standards to ensure the compatibility with legacy tools. Using TagML, unlike other previous proposals, implies the use of model-to-model transformations to generate XML documents, instead of model-to-text transformations, which results on an improvement of the transformation readability and reliability, as well as a reduction of the transformation maintenance costs. The proposed approach helps developers to define transformations less prone to errors than using the traditional approach. The novelty of this approach is based on the way XML documents are generated using model-to-model transformations instead of traditional model-to-text transformations. Moreover, the simplicity of the proposed approach enables the generation of XML documents without the need for any transformation configuration, which does not penalize the model reuse. To illustrate the features of the proposal, we present the generation of XHTML documents using UML class diagrams as input models. The evaluation section demonstrates that the proposed method is less prone to errors than the traditional one.
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Azzaoui, Amine, Ouzayr Rabhi, and Ayyoub Mani. "A Model Driven Architecture Approach to Generate Multidimensional Schemas of Data Warehouses." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 12 (August 23, 2019): 18. http://dx.doi.org/10.3991/ijoe.v15i12.10720.
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Over the past decade, the concept of data warehousing has been widely accepted. The main reason for building data warehouses is to improve the quality of information in order to achieve specific business objectives such as competitive advantage or improved decision-making. However, there is no formal method for deriving a multidimensional schema from heterogeneous databases that is recognized as a standard by the OMG and the professionals of the field. Which is why, in this paper, we present a model-driven approach (MDA) for the design of data warehouses. To apply the MDA approach to the Data warehouse construction process, we describe a multidimensional meta-model and specify a set of transformations from a UML meta-model which is mapped to a multidimensional meta-model. The transformation rules are programmed by the Query View Transformation (QVT) language. A case study illustrates our approach. It demonstrates how it reinforces the components traceability and reusability and how it globally improves the modeler’s efficiency. Furthermore, the use of the UML, as a technique to build data warehouses, is an important facilitator which prepares our further work to automate this approach.
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YANG, Chang-chun, Zi-yi ZHAO, and Jing SUN. "Meta-model-based model organization and transformation of design pattern unit in MDA." Journal of Computer Applications 30, no. 9 (November 30, 2010): 2354–57. http://dx.doi.org/10.3724/sp.j.1087.2010.02354.
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Qin, Boya, Dong Liu, and Yiming Lu. "Formal verification of ontology transformation for distribution network information model based on meta-model theory." IET Cyber-Physical Systems: Theory & Applications 5, no. 4 (December 1, 2020): 388–93. http://dx.doi.org/10.1049/iet-cps.2020.0018.
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de Bortoli, Daniel, Fauzan Adziman, Eduardo A. de Souza Neto, and Francisco M. Andrade Pires. "Constitutive modelling of mechanically induced martensitic transformations." Engineering Computations 35, no. 2 (April 16, 2018): 772–99. http://dx.doi.org/10.1108/ec-03-2017-0087.
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Purpose The purpose of this work is to apply a recently proposed constitutive model for mechanically induced martensitic transformations to the prediction of transformation loci. Additionally, this study aims to elucidate if a stress-assisted criterion can account for transformations in the so-called strain-induced regime. Design/methodology/approach The model is derived by generalising the stress-based criterion of Patel and Cohen (1953), relying on lattice information obtained using the Phenomenological Theory of Martensite Crystallography. Transformation multipliers (cf. plastic multipliers) are introduced, from which the martensite volume fraction evolution ensues. The associated transformation functions provide a variant selection mechanism. Austenite plasticity follows a classical single crystal formulation, to account for transformations in the strain-induced regime. The resulting model is incorporated into a fully implicit RVE-based computational homogenisation finite element code. Findings Results show good agreement with experimental data for a meta-stable austenitic stainless steel. In particular, the transformation locus is well reproduced, even in a material with considerable slip plasticity at the martensite onset, corroborating the hypothesis that an energy-based criterion can account for transformations in both stress-assisted and strain-induced regimes. Originality/value A recently developed constitutive model for mechanically induced martensitic transformations is further assessed and validated. Its formulation is fundamentally based on a physical metallurgical mechanism and derived in a thermodynamically consistent way, inheriting a consistent mechanical dissipation. This model draws on a reduced number of phenomenological elements and is a step towards the fully predictive modelling of materials that exhibit such phenomena.
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Snell, Kym IE, Joie Ensor, Thomas PA Debray, Karel GM Moons, and Richard D. Riley. "Meta-analysis of prediction model performance across multiple studies: Which scale helps ensure between-study normality for the C-statistic and calibration measures?" Statistical Methods in Medical Research 27, no. 11 (May 8, 2017): 3505–22. http://dx.doi.org/10.1177/0962280217705678.
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If individual participant data are available from multiple studies or clusters, then a prediction model can be externally validated multiple times. This allows the model’s discrimination and calibration performance to be examined across different settings. Random-effects meta-analysis can then be used to quantify overall (average) performance and heterogeneity in performance. This typically assumes a normal distribution of ‘true’ performance across studies. We conducted a simulation study to examine this normality assumption for various performance measures relating to a logistic regression prediction model. We simulated data across multiple studies with varying degrees of variability in baseline risk or predictor effects and then evaluated the shape of the between-study distribution in the C-statistic, calibration slope, calibration-in-the-large, and E/O statistic, and possible transformations thereof. We found that a normal between-study distribution was usually reasonable for the calibration slope and calibration-in-the-large; however, the distributions of the C-statistic and E/O were often skewed across studies, particularly in settings with large variability in the predictor effects. Normality was vastly improved when using the logit transformation for the C-statistic and the log transformation for E/O, and therefore we recommend these scales to be used for meta-analysis. An illustrated example is given using a random-effects meta-analysis of the performance of QRISK2 across 25 general practices.
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Esbai, Redouane, Fouad Elotmani, and Fatima Zahra Belkadi. "Toward Automatic Generation of Column-Oriented NoSQL Databases in Big Data Context." International Journal of Online and Biomedical Engineering (iJOE) 15, no. 09 (June 14, 2019): 4. http://dx.doi.org/10.3991/ijoe.v15i09.10433.
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<span>The growth of application architectures in all areas (e.g. Astrology, Meteorology, E-commerce, social network, etc.) has resulted in an exponential increase in data volumes, now measured in Petabytes. Managing these volumes of data has become a problem that relational databases are no longer able to handle because of the acidity properties. In response to this scaling up, new concepts have emerged such as NoSQL. In this paper, we show how to design and apply transformation rules to migrate from an SQL relational database to a Big Data solution within NoSQL. For this, we use the Model Driven Architecture (MDA) and the transformation languages like as MOF 2.0 QVT (Meta-Object Facility 2.0 Query-View-Transformation) and Acceleo which define the meta-models for the development of transformation model. The transformation rules defined in this work can generate, from the class diagram, a CQL code for creation column-oriented NoSQL database.</span>
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Wang, Tiexin, Jingwen Cao, Chuanqi Tao, Zhibin Yang, Yi Wu, and Bohan Li. "A Configurable Semantic-Based Transformation Method towards Conceptual Models." Discrete Dynamics in Nature and Society 2020 (September 27, 2020): 1–14. http://dx.doi.org/10.1155/2020/6718087.
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Conceptual models are built to depict and analyze complex systems. They are made of concepts and relationships among these concepts. In a particular domain, conceptual models are helpful for different stakeholders to reach a clear and unified view of domain problems. However, the process of building conceptual models is time-consuming, tedious, and expertise required. To improve the efficiency of the building process, this paper proposes a configurable semantic-based (semi-) automatic conceptual model transformation methodology (SbACMT) that tries to reuse existing conceptual models to generate new models. SbACMT contains three parts: (i) a configurable semantic relatedness computing method building on the structured linguistic knowledge base “ConceptNet” (SRCM-CNet), (ii) a specific meta-model, which follows the Ecore standard, defines the rules of applying SRCM-CNet to different conceptual models to automatically detect transformation mappings, and (iii) a multistep matching and transformation process that employs SRCM-CNet. A case study is carried out to detail the working mechanism of SbACMT. Furthermore, through a systematically analysis of this case study, we validate the performance of SbACMT. We prove that SbACMT can support the automatic transformation process of conceptual models (e.g., class diagrams). The scalability of SbACMT can be improved by adapting the meta-model and predefined syntax transformation rules.
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Essebaa, Imane, Salima Chantit, and Mohammed Ramdani. "MoDAr-WA: Tool Support to Automate an MDA Approach for MVC Web Application." Computers 8, no. 4 (December 5, 2019): 89. http://dx.doi.org/10.3390/computers8040089.
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Model-driven engineering (MDE) uses models during the application development process. Thus, the MDE is particularly based on model-driven architecture (MDA), which is one of the important variants of the Object Management Group (OMG). MDA aims to generate source code from abstract models through several model transformations between, and inside the different MDA levels: computation independent model (CIM), platform independent model (PIM), and platform specific model (PSM) before code. In this context, several methods and tools were proposed in the literature and in the industry that aim to automatically generate the source code from the MDA levels. However, researchers still meet many constraints—model specifications, transformation automation, and level traceability. In this paper, we present a tool support, the model-driven architecture for web application (MoDAr-WA), that implements our proposed approach, aiming to automate transformations from the highest MDA level (CIM) to the lowest one (code) to ensure traceability. This paper is a continuity of our previous works, where we automate transformation from the CIM level to the PIM level. For this aim, we present a set of meta-models, QVT and Acceleo transformations, as well as the tools used to develop our Eclipse plug-in, MoDAr-WA. In particular, we used QVT rules for transformations between models and Acceleo for generating code from models. Finally, we use MoDAr-WA to apply the proposed approach to the MusicStore system case study and compare the generated code from CIM to the original application code.
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Mohamed, Hassan Ahmed Hassan. "Integrated Enterprise Resilience Architecture Framework for Surviving Strategic Disruptions." Enterprise Risk Management 4, no. 1 (November 25, 2018): 35. http://dx.doi.org/10.5296/erm.v4i1.13716.
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Resilient business enterprises are able to survive strategic disruptions like technology disruptions and come back more successful. They succeed because they develop and effectively implement the resilience strategies of mitigation, adaption, and transformation. This paper proposes an integrated resilience framework that is based on a combination of enterprise architecture and business architecture frameworks. At the core of the proposed framework is a meta-model and a method. The framework guides the development of a unified vision of how a business enterprise can address a specific strategic disruption and transform itself in a successful way. The framework articulates the vision through the lens of business blueprint views that guide the formation of transformation initiatives. Through the mapping capabilities of the framework, the transformation initiatives cross over the boundaries between organization structures and domains. In the last section we demonstrate our proposed method and meta-model with the help of a case study.
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Rybola, Zdeněk, and Robert Pergl. "Towards ontoUML for software engineering: Transformation of kinds and subkinds into relational databases." Computer Science and Information Systems 14, no. 3 (2017): 913–37. http://dx.doi.org/10.2298/csis170109035r.
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OntoUML is an ontologically well-founded conceptual modelling language that distinguishes various types of classifiers and relations providing precise meaning to the modelled entities. While Model-Driven Development is a wellestablished approach, OntoUML has been overlooked so far as a conceptual modelling language for the PIM of application data. This paper is an extension of the paper presented at MDASD 2016, where we outlined the transformation of Rigid Sortal Types ? Kinds and Subkinds. In this paper, we discuss the details of various variants of the transformation of these types and the rigid generalization sets. The result of our effort is a complete method for preserving high-level ontological constraints during the transformations, specifically special multiplicities and generalization set meta-properties in a relational database using views, CHECK constraints and triggers.
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Jadoon, Gullelala, Muhammad Shafi, and Sadaqat Jan. "Model Transformations Carried by the Traceability Framework for Enterprises in Software Industry." International Arab Journal of Information Technology 17, no. 4A (July 31, 2020): 579–87. http://dx.doi.org/10.34028/iajit/17/4a/1.
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The developmental paradigm in the software engineering industry has transformed from a programming-oriented approach to model-oriented development. At present, model-based development is becoming an emerging method for enterprises for constructing software systems and services most proficiently. In Capability Maturity Model Integration (CMMI) Level 2, i.e., Managed, we need to sustain the bi-directional trace of the transformed models for the administration of user requirements and demands. This goal is achieved by the organization after applying the particular practices suggested by CMMI level 2 process area of Requirements Management (RM). It is very challenging for software developers and testers to maintain trace, particularly during the evaluation and upgrading phases of development. In our previous research work, we proposed a traceability framework for model-based development of applications for software enterprises. This work is the extension of our previously presented research work in which we have anticipated the meta-model transformations according to the Software Development Life Cycle (SDLC). These meta-models are capable of maintaining the trace information through relations. The proposed technique is also verified using a generalized illustration of an application. This transformation practice will give a foundation to software designers to maintain traceability links in model-driven development
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Zhao, Zhan Biao, Hui Qi Zhang, Chun Liang Chen, and Ou Qi. "Construction of Army Equipment Support Transformation Demonstration System Based on Integration." Applied Mechanics and Materials 380-384 (August 2013): 4466–71. http://dx.doi.org/10.4028/www.scientific.net/amm.380-384.4466.
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to accelerate the construction of army equipment support, the concept of army equipment support transformation demonstration system is put up and the theory of demonstration system is concluded. By analyzing the equipment support transformation, the connotation is discussed and the transformation frame is given. By applying the system engineering meta-synthetic engineering office, the equipment support transformation demonstration system logical framework and the equipment support emulation model system is set up and the equipment support efficiency evaluation procedure is analyzed. The basis is offered for the subsequent army equipment support demonstration system.
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Thangaraj, Jagadeeswaran, and Senthilkumaran Ulaganathan. "Defining Theoretical Foundations to Unified Metamodel For Model Reusability." Recent Advances in Computer Science and Communications 13, no. 4 (October 19, 2020): 620–26. http://dx.doi.org/10.2174/2213275911666190320160115.
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Background: In model-driven development, model transformation transforms one model to another between different phases of software engineering. In model transformation, metamodel plays a vital role which defines the abstract syntax of models and the interrelationship between their elements. A unified metamodel defines an abstract syntax for both source and target models when they share core elements. Theoretical approaches define language and platform independent representation of models in software engineering. This paper investigates the theoretical foundation to this unified meta-modelling for their consistent transformation. Objective: This paper aims to define the formal foundations to the unified metamodel for generating implementation from design specifications and model reusability. Method: In this paper, the study considers transformation from design to implementation and vice versa using theoretical foundations to build a verified software system. Results: The related tools provide a formal representation of the design phase for verification purpose. Our approach provides a set-theoretical foundation to the unified metamodel for model transformation from USE (UML/OCL) to Spec#. In other words, our approach defines the formal foundation to define a model which consists of all the required properties for verification at the design and implementation phase. Conclusion: This paper introduced a new set of the theoretical framework which acts as an interface between the design and implementation to generate verified software systems.
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Semar-Bitah, Kahina, and Kamel Boukhalfa. "Towards the Meta-Modeling of Complex Inter-Organisationnel Collaborative Processes." International Journal of E-Business Research 15, no. 3 (July 2019): 16–34. http://dx.doi.org/10.4018/ijebr.2019070102.
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Enterprises are progressively embedded in business to business atmospheres, in order to achieve their common business objectives. Such collaborations lead to Inter-Organizational Business Processes. Therefore, IOBP modeling involves new challenges, mainly the ability to deal with autonomy, privacy, heterogeneity. As a contribution in this area, a IOBP meta-model was designed. This model takes into account the maximum concepts related to the collaboration. Where, the process is complex, and its model in a global way affects its vision and complicates its implementation and hence the idea of its analysis into sub-IOBP to reduce the complexity of the global collaborative process, to streamline information exchange and to facilitate the understanding of the process by partners. A set of Atlas Transformation Language (ATL) transformation rules has been defined to convert Unified Modeling Language (UML) models to Business Process Model and Notation. Finally, the application of our approach has been demonstrated through a framework which can solve the problem of generic IOBP.
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KARDAS, GEYLANI, ARDA GOKNIL, OGUZ DIKENELLI, and N. YASEMIN TOPALOGLU. "MODEL DRIVEN DEVELOPMENT OF SEMANTIC WEB ENABLED MULTI-AGENT SYSTEMS." International Journal of Cooperative Information Systems 18, no. 02 (June 2009): 261–308. http://dx.doi.org/10.1142/s0218843009002014.
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Semantic Web evolution brought a new vision into agent research. The interpretation of this second generation web will be realized by autonomous computational entities, called agents, to handle the semantic content on behalf of their human users. Surely, Semantic Web environment has specific architectural entities and a different semantic which must be considered to model a Multi-agent System (MAS) within this environment. Hence, in this study, we introduce a MAS development process which supports the Semantic Web environment. Our approach is based on Model Driven Development (MDD) which aims to change the focus of software development from code to models. We first define an architecture for Semantic Web enabled MASs and then provide a MAS metamodel which consists of the first class meta-entities derived from this architecture. We also define a model transformation process for MDD of such MASs. We present a complete transformation process in which the source and the target metamodels, entity mappings between models and the implementation of the transformation for two different real MAS frameworks by using a well-known model transformation language are all included. In addition to the model-to-model transformation, the implementation of the model-to-code transformation is given as the last step of the system development process. The evaluation of the proposed development process by considering its use within the scope of a real commercial software project is also discussed.
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Lu, Yi Ming, Dong Liu, and Wen Peng Yu. "A Meta-Model of the CIM Update Process for Smart Grid Information Integration." Advanced Materials Research 614-615 (December 2012): 1885–89. http://dx.doi.org/10.4028/www.scientific.net/amr.614-615.1885.
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The common information model (CIM) is crucial to the Smart Grid. However, its updates always cause the unmatched data mapping and model ontology confusion among integrated systems because of the ambiguous and unintuitive CIM update processes. The CIM meta-model was specifically designed to solve these problems. Its XSD-based ontology consisted of basic modeling steps and process information that bridged the gap among CIM UML/RDFS/RDF in compliance with the IEC 61968 standard. The corresponding scheme and application scenarios also presented to support the novel model transformation between different versions of the CIM for data integration.
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Durak, Umut. "Pragmatic model transformations for refactoring in Scilab/Xcos." International Journal of Modeling, Simulation, and Scientific Computing 07, no. 01 (March 2016): 1541004. http://dx.doi.org/10.1142/s1793962315410044.
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Model-Based Development has become an industry wide standard paradigm. As an open source alternative, Scilab/Xcos is being widely employed as a hybrid dynamic systems modeling tool. With the increasing efficiency in implementation using graphical model development and code generation, the modeling and simulation community is struggling with assuring quality as well as maintainability and extendibility. Refactoring is defined as an evolutionary modernization activity where, most of the time, the structure of the artifact is changed to alter its quality characteristics, while keeping its behavior unchanged. It has been widely established as a technique for textual programming languages to improve the code structure and quality. While refactoring is also regarded as one of the key practices of model engineering, the methodologies and approaches for model refactoring are still under development. Architecture-Driven Modernization (ADM) has been introduced by the software engineering community as a model-based approach to software modernization, in which the implicit information that lies in software artifacts is extracted to models and model transformations are applied for modernization tasks. Regarding refactoring as a low level modernization task, the practices from ADM are adaptable. Accordingly, this paper proposes a model-based approach for model refactoring in order to come up with more efficient and effective model refactoring methodology that is accessible and extendable by modelers. Like other graphical modeling tools, Scilab/Xcos also possesses a formalized model specification conforming to its implicit metamodel. Rather than proposing another metamodel for knowledge extraction, this pragmatic approach proposes to conduct in place model-to-model transformations for refactoring employing the Scilab/Xcos model specification. To construct a structured model-based approach, the implicit Scilab/Xcos metamodel is explicitly presented utilizing ECORE as a meta-metamodel. Then a practical model transformation approach is established based on Scilab scripting. A Scilab toolset is provided to the modeler for in-place model-to-model transformations. Using a sample case study, it is demonstrated that proposed model transformation functions in Scilab provide a valuable refactoring tool.
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Xu, Wei, Xiaoying Fu, Xia Li, and Ming Wang. "Data transformation models utilized in Bayesian probabilistic forecast considering inflow forecasts." Hydrology Research 50, no. 5 (July 10, 2019): 1267–80. http://dx.doi.org/10.2166/nh.2019.028.
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Abstract This paper presents a new Bayesian probabilistic forecast (BPF) model to improve the efficiency and reliability of normal distribution transformation and to describe the uncertainties of medium-range forecasting inflows with 10 days forecast horizons. In this model, the inflow data will be transformed twice to a standard normal distribution. The Box–Cox (BC) model is first used to quickly transform the inflow data with a normal distribution, and then, the transformed data are converted to a standard normal distribution by the meta-Gaussian (MG) model. Based on the transformed inflows in the standard normal distribution, the prior and likelihood density functions of the BPF are established, respectively. In this study, the newly developed model is tested on China's Huanren hydropower reservoir and is compared with BPFs using MG and BC, separately. Comparative results show that the new BPF model exhibits significantly improved data transformation efficiency and forecast accuracy.
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ZHANG, JIANFU, PINGFA FENG, ZHIJUN WU, DINGWEN YU, and KEN CHEN. "ACTIVITY BASED CIM MODELING AND TRANSFORMATION FOR BUSINESS PROCESS SYSTEMS." International Journal of Software Engineering and Knowledge Engineering 20, no. 03 (May 2010): 289–309. http://dx.doi.org/10.1142/s0218194010004736.
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Computation-Independent Model (CIM) to capture domain requirements and the transformation from CIM to the Platform-Independent Model (PIM) are two crucial parts of the Model-Driven Architecture (MDA). This paper presents an ontology-activity-based CIM modeling approach to achieve a semi-automatic transformation from CIM to PIM. It proposes that the key elements in business process modeling are activities and these should therefore form the basis in constructing the domain ontology. Aiming to provide the key description capability for the process model, it discusses the hierarchy of the model by adding an activity dimension between the object and process tiers. It also proposes a model-relevance-calculation-based method for extracting ontology activities from the process meta-models. Based on the presented model acquisition method, a decomposition approach is proposed to simplify the complexity of the transformation relationships between the CIM and PIM by introducing the concepts of ontology activities. A general framework surrounding the transformation from CIM to PIM is discussed. It uses the Web Ontology Language (OWL) to describe the ontology activity and considers the Unified Modeling Language (UML) to be the PIM.
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Vázquez-Ingelmo, Andrea, Alicia García-Holgado, Francisco José García-Peñalvo, and Roberto Therón. "A Meta-Model Integration for Supporting Knowledge Discovery in Specific Domains: A Case Study in Healthcare." Sensors 20, no. 15 (July 22, 2020): 4072. http://dx.doi.org/10.3390/s20154072.
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Knowledge management is one of the key priorities of many organizations. They face different challenges in the implementation of knowledge management processes, including the transformation of tacit knowledge—experience, skills, insights, intuition, judgment and know-how—into explicit knowledge. Furthermore, the increasing number of information sources and services in some domains, such as healthcare, increase the amount of information available. Therefore, there is a need to transform that information in knowledge. In this context, learning ecosystems emerge as solutions to support knowledge management in a different context. On the other hand, the dashboards enable the generation of knowledge through the exploitation of the data provided from different sources. The model-driven development of these solutions is possible through two meta-models developed in previous works. Even though those meta-models solve several problems, the learning ecosystem meta-model has a lack of decision-making support. In this context, this work provides two main contributions to face this issue. First, the definition of a holistic meta-model to support decision-making processes in ecosystems focused on knowledge management, also called learning ecosystems. The second contribution of this work is an instantiation of the presented holistic meta-model in the healthcare domain.
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Lee, Seung-Han, and Jae-Pyo Park. "An Automatic code generation through UML Meta modelling and transformation of Model for electronic government framework." Journal of the Korea Academia-Industrial cooperation Society 16, no. 5 (May 31, 2015): 3407–11. http://dx.doi.org/10.5762/kais.2015.16.5.3407.
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Bouchelligua, W., A. Mahfoudhi, and M. Abed. "A Model Driven Engineering Approach Toward User Interfaces Adaptation." International Journal of Adaptive, Resilient and Autonomic Systems 3, no. 1 (January 2012): 65–86. http://dx.doi.org/10.4018/jaras.2012010104.
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In ubiquitous computing, the context of use (user, platform, environment) is in a permanent change. This has brought about new challenges in the Human Computer Interface (HCI) engineering to obtain User Interfaces (UI) that are compliant to their context of use. This paper has benefitted from the interests of parameterized principle transformation in the framework of the Model Driven Engineering (MDE) to propose approaches based on the models for the generation of the adaptable UI. It provides meta-models for the various components of the context of use which plays the role of the transformation parameter of the abstract interface into a concrete interface. It is through a case study of an information system of industrial supervision that the approach is shown to be reliable.
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Roubi, Sarra, Mohammed Erramdani, and Samir Mbarki. "A Model Driven Approach based on Interaction Flow Modeling Language to Generate Rich Internet Applications." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (December 1, 2016): 3073. http://dx.doi.org/10.11591/ijece.v6i6.10541.
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<p><span lang="EN-US">A Rich Internet Applications (RIAs) combine the simplicity of the hypertext paradigm with the flexibility of desktop interfaces. These appliations were proposed as a solution to follow the rapid growth and evolution of the Graphical User Interfaces. However, RIAs are complex applications and their development requires designing and implementation which are time-consuming and the available tools are specialized in manual design. In this paper, we present a model driven approach to generat GUI for Rich Internet Application. The approach exploits the new language IFML recently adopted by the Object Management Group. We used frameworks and technologies known to Model-Driven Engineering, such as Eclipse Modeling Framework (EMF) for Meta-modeling, Query View Transformation (QVT) for model transformations and Acceleo for code generation. The approach allows to quickly and efficiently generating a RIA focusing on the graphical aspect of the application.</span></p>
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Roubi, Sarra, Mohammed Erramdani, and Samir Mbarki. "A Model Driven Approach based on Interaction Flow Modeling Language to Generate Rich Internet Applications." International Journal of Electrical and Computer Engineering (IJECE) 6, no. 6 (December 1, 2016): 3073. http://dx.doi.org/10.11591/ijece.v6i6.pp3073-3079.
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<p><span lang="EN-US">A Rich Internet Applications (RIAs) combine the simplicity of the hypertext paradigm with the flexibility of desktop interfaces. These appliations were proposed as a solution to follow the rapid growth and evolution of the Graphical User Interfaces. However, RIAs are complex applications and their development requires designing and implementation which are time-consuming and the available tools are specialized in manual design. In this paper, we present a model driven approach to generat GUI for Rich Internet Application. The approach exploits the new language IFML recently adopted by the Object Management Group. We used frameworks and technologies known to Model-Driven Engineering, such as Eclipse Modeling Framework (EMF) for Meta-modeling, Query View Transformation (QVT) for model transformations and Acceleo for code generation. The approach allows to quickly and efficiently generating a RIA focusing on the graphical aspect of the application.</span></p>
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Shariff, Jaffer A., and Athanasios I. Zavras. "Malignant Transformation Rate in Patients Presenting Oral Epithelial Dysplasia: Systematic Review and Meta-Analysis." Journal of Oral Diseases 2015 (November 4, 2015): 1–10. http://dx.doi.org/10.1155/2015/854636.
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Objective. To perform a systematic review and meta-analysis on studies that assess malignant transformation rates (MTR) of oral epithelial dysplasia. Materials and Methods. This review was planned and conducted in accordance with the meta-analysis of observational studies in epidemiology (MOOSE) guidelines. PubMed, EMBASE, Google Scholar, and Cochrane databases were screened to identify observational studies. Quality assessments were completed by two reviewers independently using the Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies. Pooled-malignant transformation rate (MTR) in person years, subgroup, sensitivity, and publication bias analysis were calculated using STATA 13.0 and Comprehensive Meta-Analysis software. Results. Sixteen observational cohort studies were identified with a total of 3708 participants from Asia, North America, and Europe. Analysis showed a MTR of 10.5% (pooled-MTR: 10.5, 95% CI: 3.7 to 17.3; fixed effect model, I2=0.0%; Q-value = 2.389; p>0.05) among patients with histologically confirmed oral epithelia dysplasia undergoing long-term follow-up. Higher MTR in person year were seen among the sever dysplastic cases (pooled-MTR: 14.4%, 95% CI: 5.3% to 23.5%), studies published in Europe (pooled-MTR: 12.6%, 95% CI: 8.0% to 24.3%), and retrospective studies (pooled-MTR: 11.0%, 95% CI: 2.2% to 19.9%). Conclusion. These studies show that oral epithelial dysplasia has a significant high rate of transformation to cancer.
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N Nyaga, Victoria, Marc Arbyn, and Marc Aerts. "Beta-binomial analysis of variance model for network meta-analysis of diagnostic test accuracy data." Statistical Methods in Medical Research 27, no. 8 (December 14, 2016): 2554–66. http://dx.doi.org/10.1177/0962280216682532.
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There are several generalized linear mixed models to combine direct and indirect evidence on several diagnostic tests from related but independent diagnostic studies simultaneously also known as network meta-analysis. The popularity of these models is due to the attractive features of the normal distribution and the availability of statistical software to obtain parameter estimates. However, modeling the latent sensitivity and specificity using the normal distribution after transformation is neither natural nor computationally convenient. In this article, we develop a meta-analytic model based on the bivariate beta distribution, allowing to obtain improved and direct estimates for the global sensitivities and specificities of all tests involved, and taking into account simultaneously the intrinsic correlation between sensitivity and specificity and the overdispersion due to repeated measures. Using the beta distribution in regression has the following advantages, that the probabilities are modeled in their proper scale rather than a monotonic transform of the probabilities. Secondly, the model is flexible as it allows for asymmetry often present in the distribution of bounded variables such as proportions, which is the case with sparse data common in meta-analysis. Thirdly, the model provides parameters with direct meaningful interpretation since further integration is not necessary to obtain the meta-analytic estimates.
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Misbah, Anass, and Ahmed Ettalbi. "Automatic Conversion of a Conceptual Model to a Standard Multi-view Web Services Definition." International Journal of Recent Contributions from Engineering, Science & IT (iJES) 6, no. 1 (March 19, 2018): 43. http://dx.doi.org/10.3991/ijes.v6i1.8285.
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<span>Information systems are becoming more and more heterogeneous and here comes the need to have more generic transformation algorithms and more automatic generation Meta rules. In fact, the large number of terminals, devices, operating systems, platforms and environments require a high level of adaptation. Therefore, it is becoming more and more difficult to validate, generate and implement manually models, designs and codes.</span><br /><span>Web services are one of the technologies that are used massively nowadays; hence, it is considered as one of technologies that require the most automatic rules of validation and automation. Many previous works have dealt with Web services by proposing new concepts such as Multi-view Web services, standard WSDL implementation of Multi-view Web services and even further Generic Meta rules for automatic generation of Multi-view Web services.</span><br /><span>In this work we will propose a new way of generating Multi-view Web ser-vices, which is based on an engine algorithm that takes as input both an initial Conceptual Model and user’s matrix and then unroll a generic algorithm to gen-erate dynamically a validated set of points of view. This set of points of view will be transformed to a standard WSDL implementation of Multi-view Web services by means of the automatic transformation Meta rules.</span>
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Hong, Huiting, Hantao Guo, Yucheng Lin, Xiaoqing Yang, Zang Li, and Jieping Ye. "An Attention-Based Graph Neural Network for Heterogeneous Structural Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 04 (April 3, 2020): 4132–39. http://dx.doi.org/10.1609/aaai.v34i04.5833.
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In this paper, we focus on graph representation learning of heterogeneous information network (HIN), in which various types of vertices are connected by various types of relations. Most of the existing methods conducted on HIN revise homogeneous graph embedding models via meta-paths to learn low-dimensional vector space of HIN. In this paper, we propose a novel Heterogeneous Graph Structural Attention Neural Network (HetSANN) to directly encode structural information of HIN without meta-path and achieve more informative representations. With this method, domain experts will not be needed to design meta-path schemes and the heterogeneous information can be processed automatically by our proposed model. Specifically, we implicitly represent heterogeneous information using the following two methods: 1) we model the transformation between heterogeneous vertices through a projection in low-dimensional entity spaces; 2) afterwards, we apply the graph neural network to aggregate multi-relational information of projected neighborhood by means of attention mechanism. We also present three extensions of HetSANN, i.e., voices-sharing product attention for the pairwise relationships in HIN, cycle-consistency loss to retain the transformation between heterogeneous entity spaces, and multi-task learning with full use of information. The experiments conducted on three public datasets demonstrate that our proposed models achieve significant and consistent improvements compared to state-of-the-art solutions.
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Belghiat, Aissam, and Allaoua Chaoui. "Mapping Mobile Statechart Diagrams to the π-Calculus using Graph Transformation." International Journal of Intelligent Information Technologies 12, no. 4 (October 2016): 1–20. http://dx.doi.org/10.4018/ijiit.2016100101.
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Mobile UML (M-UML) has been proposed as an extension of UML to model mobile agent-based software systems. As UML, M-UML suffers from lack of formal semantics due to its semi-formal nature which penalize the verification of correct behavior of the modeled systems. This paper provides a graphical yet formal approach for the modeling, simulation and verification of mobile statechart diagrams using graph transformations in the AToM3 tool. The authors have firstly proposed meta-models for mobile statechart diagram and flowgraph. Then, a twofold graph grammar is developed for the automatic mapping of mo-bile statechart diagrams into flowgraphs and in the same time generates the cor-responding p-calculus specification. This graph grammar enables either execu-tion through simulation by flowgraphs or verification through model checking, using existing tools (e.g. the Mobility Workbench, MWB). An illustrative example of the authors' approach is provided.
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Yu, Qian, Ying Lin, Xuan Zhang, Fei Dai, and Na Zhao. "Research on Information Technology with Transformation Method of Activity from EPMM-Based Software Evolution Process Model to its Execution Model." Advanced Materials Research 886 (January 2014): 637–41. http://dx.doi.org/10.4028/www.scientific.net/amr.886.637.
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Software evolution process model (EPM) is created in terms of a formal evolution process meta-model (EPMM) and semi-formal approach to modeling based on EPMM. EPM is still abstract at higher abstract level and is general while software process is concrete, so EPM must be instantiated before its enactment. The method to transform any EPM to its execution model based on logic programming is proposed. Since activity contains the imports resource, roles resource, exports resource and tasks, the rules to transform the four parts of activity level of any EPM to its execution model based logic programming are respectively proposed by analyzing the execution semantics of the activities and the tasks in EPM. The converter program is realized and the correct results have presented to prove the correctness of the method.
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Chama, Wafa, Allaoua Chaoui, and Seidali Rehab. "Formal Modeling and Analysis of Object Oriented Systems using Triple Graph Grammars." International Journal of Embedded and Real-Time Communication Systems 6, no. 2 (April 2015): 48–64. http://dx.doi.org/10.4018/ijertcs.2015040103.
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This paper proposes a Model Driven Engineering automatic translation approach based on the integration of rewriting logic formal specification and UML semi-formal models. This integration is a contribution in formalizing UML models since it lacks for formal semantics. It aims at providing UML with the capabilities of rewriting logic and its Maude language to control and detect incoherencies in their diagrams. Rewriting logic Maude language allows simulation and verification of system's properties using its LTL model-checker. This automatic translation approach is based on meta-modeling and graph transformation since UML diagrams are graphs. More precisely, the authors have proposed five meta-models and three triple graph grammars to perform the translation process. The authors have used Eclipse Generative Modeling tools: Eclipse Modeling Framework (EMF) for meta-modeling, Graphical Modeling Framework (GMF) for generating visual modeling tools and TGG Interpreter for proposing triple graph grammars. The approach is illustrated through an example.
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Liu, Yu Sheng, and Hong Ri Fan. "Integration of System-Level Design and Detailed Design Models of Mechatronic Systems Based on SysML and Step AP 203 Standard." Applied Mechanics and Materials 249-250 (December 2012): 1160–65. http://dx.doi.org/10.4028/www.scientific.net/amm.249-250.1160.
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In this study, a meta-model based method is proposed for automatic generation of STEP AP 203 file for mechanical part of the mechatronic system from the SysML model. System modeling technology in SysML is firstly presented and then the model of EXPRESS language is employed to transfer the information from SysML through the model transformation method. Based on the information parsed from the resulting EXPRESS model, the STEP file is finally generated by creating the B_REP model in STEP AP 203 standard. The proposed method is illustrated with a case study named as inverted pendulum system (IPS).
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Jihad, Adib, Moutachaouik Hicham, Marzak Abdelaziz, and Hain Mustapha. "Transformation of WSDL files using ETL in the E-orientation domain." International Journal of Electrical and Computer Engineering (IJECE) 10, no. 6 (December 1, 2020): 6045. http://dx.doi.org/10.11591/ijece.v10i6.pp6045-6052.
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The E-orientations platforms become an essential space for students to base their choice on tangible elements, as they offer a macroscopic view of the different academic and professional fields. In this context the Center for Engineering Sciences and Applied Sciences “SISA” funded the MMS Orientation project to focus on student orientation in Morocco. With respect to the peculiarity and the different characteristics of the E-orientation platforms, a comparative study is essential. In this article we will proceed by a comparative study of a sample of platforms in order to highlight the major functionalities that we will model through descriptive files. The work is divided into two parts: The first part will be a comparison and description of existing platforms using descriptive language (WSDL), the second part will use ETL as a transformation technology in order to highlight generic files that will serve as a basis for work. the expected meta model.
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Bouougada, Benamar, Djelloul Bouchiha, Redha Rebhi, Ali Kidar, Giulio Lorenzini, Abdelghani Bouziane, Hijaz Ahmad, and Younes Menni. "Mapping Relational Database to OWL Ontology Based on MDE Settings." Revue d'Intelligence Artificielle 35, no. 3 (June 30, 2021): 217–22. http://dx.doi.org/10.18280/ria.350305.
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Ontology is an important aspect of the semantic web, which is why semantic web developers are interested in constructing ontology in various applications based on domain experts. By transforming an existing application database into ontology, we many construct ontologies without having to hire an expert in the field. Model-driven engineering is the foundation of the suggested strategy (MDE). In a nutshell, the technique is divided into two phases, the first of which attempts to prepare the data needed for the transformation in the form of a model with a database. A compliance relationship between this model and its meta-model is required. Phase (2) applies a set of rules written in the Atlas Transformational Language to change the model produced in the first phase into another model, which is an OWL ontology (ATL). We tested our solution using a set of databases created specifically for this purpose and built it in an eclipse environment using an EMF and ATL transform language. The acquired findings demonstrate the strength and efficacy of the recommended strategy.
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Yu, Yijun, Haruhiko Kaiya, Nobukazu Yoshioka, Zhenjiang Hu, Hironori Washizaki, Yingfei Xiong, and Amin Hosseinian-Far. "Goal Modelling for Security Problem Matching and Pattern Enforcement." International Journal of Secure Software Engineering 8, no. 3 (July 2017): 42–57. http://dx.doi.org/10.4018/ijsse.2017070103.
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This article describes how earlier detection of security problems and the implementation of solutions would be a cost-effective approach for developing secure software systems. Developing, gathering and sharing similar repeatable programming knowledge and solutions has led to the introduction of Patterns in the 90's. The same concept has been adopted to realise reoccurring security knowledge and hence security patterns. Detecting a security problem using the patterns in requirements models may lead to its early prevention. In this article, the authors have provided an overview of security patterns in the past two decades, followed by a summary of i*/Tropos goal modelling framework. Section 2 outlines model-driven development, meta-models and model transformation, within the context of requirements engineering. They have summarised security access control types, and formally described role-based access control (RBAC) in particular as a pattern that may occur in the stakeholder requirements models. Then the authors used the i* modelling language and some elements from its constructs - model-driven queries and transformations - to describe the pattern enforcement. This is applied to a number of requirements models within the literature, and the pattern-based transformation tool they designed has automated the detection and resolution of this security pattern in several goal-oriented stakeholder requirements. Finally, the article also reflects on a variety of existing applications and future work.
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Ayadi, Rim, Yasser Hachaichi, and Jamel Feki. "A Framework for Knowledge Models Transformation: A Step Towards Knowledge Integration and Warehousing." Journal of Information & Knowledge Management 18, no. 02 (June 2019): 1950025. http://dx.doi.org/10.1142/s0219649219500254.
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An intelligent decision support system should based on a knowledge warehouse (KW). A KW gathers knowledge initially expressed in different formalisms and therefore heterogeneous. Consequently, the KW building process requires knowledge homogenisation. This paper deals with this main issue; it introduces a three-layer architecture for a KW; more precisely, it focuses on the first layer architecture called Knowledge Acquisition and Transformation. This layer aims to transform heterogeneous knowledge models into the MOT (Modeling with Object Types) semi-formal language [Paquette, G (2002). Knowledge and Skills Modeling: A Graphical Language for Designing and Learning. Sainte-Foy: University of Quebec Press (in French).] that we have selected as a pivot knowledge model. For this transformation step, first, we design four meta-models; one for MOT and one for each of the three explicit knowledge models, namely, decision tree, association rules and clustering. Secondly, we define 15 transformation rules that we formalise in ATL (Atlas Transformation Language). Finally, we exemplify the knowledge transformation in order to show its usefulness for the KW building process.
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Ouadoud, Mohammed, Tarik Chafiq, Nouha Rida, and Mohamed Yassin Chkouri. "Generate a Meta-Model Content for Collaboration Space of Learning Management System Compatible with IMS-LD." International Journal of Interactive Mobile Technologies (iJIM) 13, no. 01 (January 29, 2019): 37. http://dx.doi.org/10.3991/ijim.v13i01.9440.
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<p align="left">The context of this work is that of designing a Instructional Management Systems - Learning Design (IMS-LD) model for collaboration space of a Learning Management System (LMS). Our work is specifically in the field or seeking to promote, by means of information technology from a distance. Our approach is to first think about the conditions for creating a real collaboration space between learners, and designing the IT environment that supports this space. In this paper, we try to adapt the IMS-LD model with a collaboration model for Learning Management System based on the social constructivism. This adaptation will go through three stages. Firstly, the development of an LMS model. Secondly, the study of correspondence between the developed model and IMS-LD model. Finally their transformation to IMS-LD model.<strong></strong></p>
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Lichtenthaler, Ulrich. "The world’s most innovative companies: a meta-ranking." Journal of Strategy and Management 11, no. 4 (November 19, 2018): 497–511. http://dx.doi.org/10.1108/jsma-07-2018-0065.
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Purpose The purpose of this paper is to develop a meta-ranking of the world’s most innovative firms, which underscores the importance of external perceptions of innovativeness and of an innovation-based view on firm performance, including product, service, process, business model, management and organizational innovation. Design/methodology/approach This is an exploratory empirical paper, which integrates the results of five rankings of the world’s most innovative companies. Findings The five innovation rankings include a variety of companies based on different methods and strategic focus. This variety underscores the importance of a meta-ranking, whose multiple aggregation methods lead to consistent results. Only the following 11 companies are mentioned in at least three rankings, leading to a list of the 11 most innovative companies in the world: Amazon, Apple, Tencent, Google/Alphabet, Netflix, SpaceX, Tesla, Microsoft, IBM, Intel and General Electric. Overall, the meta-ranking is dominated by US companies from various industries with firms from China gaining importance. Originality/value The paper contributes to research into innovation antecedents and consequences by illustrating the importance of innovation perceptions. The meta-ranking highlights the need for pursuing different types of innovation, following the innovation-based view on firm performance with first-order and second-order innovations. Moreover, the results deepen our understanding of digital transformation and of capturing value from innovation in the digital economy because a considerable portion of the leading innovators has a business model emphasizing artificial intelligence and digital platforms, which have led to the generation of new and to the disruption of established markets.
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Suh, Chong Hyun, Seung Chai Jung, Se Jin Cho, Dong-Cheol Woo, Woo Yong Oh, Jong Gu Lee, and Kyung Won Kim. "MRI for prediction of hemorrhagic transformation in acute ischemic stroke: a systematic review and meta-analysis." Acta Radiologica 61, no. 7 (November 18, 2019): 964–72. http://dx.doi.org/10.1177/0284185119887593.
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Background Hemorrhagic transformation increases mortality and morbidity in patients with acute ischemic stroke. Purpose The purpose of this study is to evaluate the diagnostic performance of magnetic resonance imaging (MRI) for prediction of hemorrhagic transformation in acute ischemic stroke. Material and Methods A systematic literature search of MEDLINE and EMBASE was performed up to 27 July 2018, including the search terms “acute ischemic stroke,” “hemorrhagic transformation,” and “MRI.” Studies evaluating the diagnostic performance of MRI for prediction of hemorrhagic transformation in acute ischemic stroke were included. Diagnostic meta-analysis was conducted with a bivariate random-effects model to calculate the pooled sensitivity and specificity. Subgroup analysis was performed including studies using advanced MRI techniques including perfusion-weighted imaging, diffusion-weighted imaging, and susceptibility-weighted imaging. Results Nine original articles with 665 patients were included. Hemorrhagic transformation is associated with high permeability, hypoperfusion, low apparent diffusion coefficient (ADC), and FLAIR hyperintensity. The pooled sensitivity was 82% (95% confidence interval [CI] 61–93) and the pooled specificity was 79% (95% CI 71–85). The area under the hierarchical summary receiver operating characteristic curve was 0.85 (95% CI 0.82–0.88). Although study heterogeneity was present in both sensitivity (I2=67.96%) and specificity (I2=78.93%), a threshold effect was confirmed. Studies using advanced MRI showed sensitivity of 92% (95% CI 70–98) and specificity of 78% (95% CI 65–87) to conventional MRI. Conclusion MRI may show moderate diagnostic performance for predicting hemorrhage in acute ischemic stroke although the clinical significance of this hemorrhage is somewhat uncertain.
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Bogner, K., F. Pappenberger, and H. L. Cloke. "Technical Note: The normal quantile transformation and its application in a flood forecasting system." Hydrology and Earth System Sciences 16, no. 4 (April 2, 2012): 1085–94. http://dx.doi.org/10.5194/hess-16-1085-2012.
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Abstract. The Normal Quantile Transform (NQT) has been used in many hydrological and meteorological applications in order to make the Cumulated Distribution Function (CDF) of the observed, simulated and forecast river discharge, water level or precipitation data Gaussian. It is also the heart of the meta-Gaussian model for assessing the total predictive uncertainty of the Hydrological Uncertainty Processor (HUP) developed by Krzysztofowicz. In the field of geo-statistics this transformation is better known as the Normal-Score Transform. In this paper some possible problems caused by small sample sizes when applying the NQT in flood forecasting systems will be discussed and a novel way to solve the problem will be outlined by combining extreme value analysis and non-parametric regression methods. The method will be illustrated by examples of hydrological stream-flow forecasts.
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Taweel, A., S. Miles, Y. Kovalchuk, A. Spiridou, B. Barratt, U. Hoang, S. Crichton, B. C. Delaney, C. Wolfe, and S. F. Liang. "Semi Automated Transformation to OWL Formatted Files as an Approach to Data Integration." Methods of Information in Medicine 54, no. 01 (2015): 32–40. http://dx.doi.org/10.3414/me13-02-0029.
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SummaryIntroduction: This article is part of the Focus Theme of Methods of Information in Medicine on “Managing Interoperability and Complexity in Health Systems”.Background: Data heterogeneity is one of the critical problems in analysing, reusing, sharing or linking datasets. Metadata, whilst adding semantic description to data, adds an additional layer of complexity in the heterogeneity of metadata descriptors themselves. This can be managed by using a predefined model to extract the metadata, but this can reduce the richness of the data extracted.Objectives: to link the South London Stroke Register (SLSR), the London Air Pollution toolkit (LAP) and the Clinical Practice Research Datalink (CPRD) while transforming data into the Web Ontology Language (OWL) format.Methods: We used a four-step transformation approach to prepare meta-descriptions, convert data, generate and update meta-classes and generate OWL files. We validated the correctness of the transformed OWL files by issuing queries and assessing results against the original source data.Results: We have transformed SLSR LAP and CPRD into OWL format. The linked SLSR and CPRD OWL file contains 3644 male and 3551 female patients. The linked SLSR and LAP OWL file shows that there are 17 out of 35 outward postcode areas, where no overlapping data can support further analysis between SLSR and LAP.Conclusions: Our approach generated a resultant set of transformed OWL formatted files, which are in a query-able format to run individual queries, or can be easily converted into other more suitable formats for further analysis, and the transformation was faithful with no loss or anomalies. Our results have shown that the proposed method provides a promising general approach to address data heterogeneity.
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Zhang, Chao, and Yu Wang. "Research on the Structure of Authentication Protocol Analysis Based on MSCs/Promela." Advanced Materials Research 989-994 (July 2014): 4698–703. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.4698.
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To discover the existing or possibly existing vulnerability of present authentication protocol, we proposed a structure of authentication protocol analysis, which consist of white box analysis, black box analysis and indicator system as the three main functional components. White box analysis makes use of the transformation from MSCs (Message Sequence Charts) to Promela (Process Meta Language), the input language of the remarkable model checker SPIN; black box analysis is based on the attack platform of authentication protocol analysis; indicator system is decided by deducibility restraint methods. Compared with the UML modeling methods based on Promela, the MSC2Promela methods we figured out on the context have more advantages than its disadvantages. Finally, we proposed a structure of authentication protocol analysis based on the transformation from MSC2Promela, which makes sense to the later work on the area of authentication protocol analysis.
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Bogner, K., F. Pappenberger, and H. L. Cloke. "Technical Note: The Normal Quantile Transformation and its application in a flood forecasting system." Hydrology and Earth System Sciences Discussions 8, no. 5 (October 17, 2011): 9275–97. http://dx.doi.org/10.5194/hessd-8-9275-2011.
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Abstract. The Normal Quantile Transform (NQT) has been used in many hydrological and meteorological applications in order to make the Cumulated Density Function (CDF) of the observed, simulated and forecast river discharge, water level or precipitation data Gaussian. It is also the heart of the meta-Gaussian model for assessing the total predictive uncertainty of the Hydrological Uncertainty Processor (HUP) developed by Krzysztofowicz. In the field of geo-statistics this transformation is better known as Normal-Score Transform. In this paper some possible problems caused by small sample sizes for the applicability in flood forecasting systems will be discussed and illustrated by examples. For the practical implementation commands and examples from the freely available and widely used statistical computing language R (R Development Core Team, 2011) will be given (represented in Courier font) and possible solutions are suggested by combining extreme value analysis and non-parametric regression methods.
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Adhikari, Debendra Prasad. "The Saga of Conflict Transformation and Peace Process in Nepal: A Unique Account." Journal of Education and Research 7, no. 2 (October 4, 2018): 23–42. http://dx.doi.org/10.3126/jer.v7i2.21245.
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Transforming from conflict to a state of peace has been a global concern in the 21st century. Nepal involved in peace building process in a unique way. Nepal’s effort to solve armed conflict has proven to be a unique Nepali model in peace and conflict literature. This paper examines the context of armed conflict and the peace process in the light of managing combatants of the Communist Party of Nepal (Maoist) thereby contributing to the approach of transforming armed conflict into a state of global peace. For this purpose, I have used the meta-analysis to illuminate the situation of transformation from conflict to peace. Additionally, I have reflected on the ideas as a peace and human rights activist in Nepal. The paper concludes that the consensus among the conflicting parties to address the causes of armed conflict with their own ideas can uniquely contribute to conflict transformation and to establish negative peace. The reflection of this paper will pave the way for further research on peace education focusing on positive and negative peace in the post-conflict political context of the country.
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Susanti, Nipa, Dadang Juandi, and Maximus Tamur. "The Effect of Problem-Based Learning (PBL) Model On Mathematical Communication Skills of Junior High School Students – A Meta-Analysis Study." JTAM (Jurnal Teori dan Aplikasi Matematika) 4, no. 2 (October 3, 2020): 145. http://dx.doi.org/10.31764/jtam.v4i2.2481.
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This study aims to integrate research findings on the effect of the Problem-Based Learning (PBL) model on the mathematical communication skills of junior high school students in Indonesia since 2014. The research method used is a meta-analysis with many samples studied, namely 12 published articles. The sampling technique used was purposive sampling. The effect size transformation is based on the g hedge equation calculated using the Comprehensive Meta-Analysis (CMA) application. Based on the results of the analysis, the combined effect of PBL on mathematical communication skills is 0.791, with the high influence criteria according to the random-effect estimation model. There are four criteria considered, namely, sample size, year of study, source of journal publication, and grade level. The results of the heterogeneity test seen based on the variables studied showed that the effect of the PBL learning model was not significantly different from the three moderator variables in terms of sample size, year of study, and publication journals and very different in terms of grade level. This finding is surprising because the random-effects model, as determined by the heterogeneity test, showed variation between effect sizes. Only one of the four variables causes this variation. Therefore further research is needed, which includes more studies and the characteristics studied to describe it more accurately.
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Stepaniuk, Jeffray Roy. "Nurturing Environmental Transformation and Scholastic Success in Northern Manitoba." Journal of Sustainable Development 14, no. 2 (March 11, 2021): 122. http://dx.doi.org/10.5539/jsd.v14n2p122.
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Effective non-traditional approaches to environmental lesson delivery and enrollee evaluation remain ephemeral in northern Manitoba as indicated by negative local attitudes towards imported and metropolitanized instruction (Martin, 2014; Mercredi, 2009). Current pandemic aside, and as increased attrition and abysmal failure rates have not changed in decades, there is relevance in exploring the experiential context and local implications of an inductive student model intended to improve remote environmental understanding and scholastic performance. To help prevent perpetuating a dis-order in which Indigenous expressions are neither recognized nor developed, learning experiences of University College of the North (UCN) students concerning regional freshwater availability and the calculation of stream flow were documented. Using componential analysis and participatory video as a mediating technology, allied empirical test scores and codified normative elements of self and environmental ‘awareness’ in traditional classrooms versus boreal settings were examined. Three exploratory factor axes explained more than 50% of the variance from an integrated but diverse set of 27 chosen variables. Titled axes declining in order of importance were Environmental Engagement, Scholastic Scoring and Non-Conventional Lesson Delivery. Seventy percent of unsolicited adult student responses suggest moralization and unique meta-ethical quale were undeniably and academically important. Empirical-‘ized’ findings advocate UCN must now ask which aspects of curriculum design, lesson delivery and enrollee assessment might result in greater scholastic success when nurturing personalized transformations in the milieu of ongoing threats to both freshwater sustainability and Cree safeguarding paradigms in northern Manitoba.
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Savat, David, and Greg Thompson. "Education and the Relation to the Outside: A Little Real Reality." Deleuze Studies 9, no. 3 (August 2015): 273–300. http://dx.doi.org/10.3366/dls.2015.0188.
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One of the more dominant themes around the use of Deleuze and Guattari's work, including in this special issue, is a focus on the radical transformation that educational institutions are undergoing, and which applies to administrator, student and educator alike. This is a transformation that finds its expression through teaching analytics, transformative teaching, massive open online courses (MOOCs) and updateable performance metrics alike. These techniques and practices, as an expression of control society, constitute the new sorts of machines that frame and inhabit our educational institutions. As Deleuze and Guattari's work posits, on some level these are precisely the machines that many people in their day-to-day work as educators, students and administrators assemble and maintain, that is, desire. The meta-model of schizoanalysis is ideally placed to analyse this profound shift that is occurring in society, felt closely in the so-called knowledge sector where a brave new world of continuous education and motivation is instituting itself.