Model-driven Classification of Different Diabetes Types within a Personalized Diabetes Management

Author(s):  
Christian Tolks ◽  
Christoph Ament ◽  
Claudia Eberle
IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 23120-23136 ◽  
Author(s):  
Uzair Iqbal ◽  
Teh Ying Wah ◽  
Muhammad Habib Ur Rehman ◽  
Qurat-Ul-Ain Mastoi

Author(s):  
Sanjay Ram ◽  
Somnath Pal

There are two approaches for classification of chemical reactions: Model-Driven and Data-Driven. In this paper, the authors develop an efficient algorithm based on a model-driven approach developed by Ugi and co-workers for classification of chemical reactions. The authors’ algorithm takes reaction matrix of a chemical reaction as input and generates its appropriate class as output. Reaction matrices being symmetric, matrix implementation of Ugi’s scheme using upper/lower tri-angular matrix is of O(n2) in terms of space complexity. Time complexity of similar matrix implementation is O(n4), both in worst case as well as in average case. The proposed algorithm uses two fixed size look-up tables in a novel way and requires constant space complexity. Time complexity both in worst and average cases of the algorithm is linear.


Author(s):  
Giner Alor-Hernández ◽  
Viviana Yarel Rosales-Morales ◽  
Luis Omar Colombo-Mendoza

Rich Internet Applications (RIAs) development has traditionally been addressed using framework-based development approaches (i.e., using application frameworks), which usually comprise tools such as Standard Development Kits (SDKs), class libraries, and Integrated Development Environments (IDEs). Nevertheless, another development approach that relies on Model-Driven Development (MDD) methodologies and tools has recently emerged as a result of the academic and commercial effort for alleviating the lack of development methodologies and support tools especially designed for the development of RIAs. In this chapter, a new classification of RIAs development approaches is proposed by introducing a third category: Rapid Application Development (RAD) approaches. Thereby, the chapter reviews not only IDEs for frameworks-based RIA development; it also addresses other support tools for MDD and RAD such as code generation tools. Additionally, the features, scope, and limitations of the analyzed tools are discussed by means of a series of usage scenarios addressing the RIAs implementation.


Author(s):  
D C Barber ◽  
W B Tindale

There is some evidence that the ratio of the blood flow to the liver through the hepatic artery to the total flow to the liver through the hepatic artery and portal vein (the hepatic arterial flow fraction, AFF) is altered in the presence of cirrhosis. Several methods have been published that seek to provide an index of this ratio. These indices are dependent on factors other than the AFF and cannot provide a true measure of it. The impulse retention function of the liver has two components and these may be derived using a model-driven deconvolution of the arterial tracer concentration curve and the curve of tracer concentration in the liver. The AFF may then be obtained from the relative heights of these two components. Simulation studies show that the AFF calculated using this method is reasonably accurate and a small clinical series shows that it is capable of appropriate clinical classification of patients into cirrhotic and non-cirrhotic groups.


Author(s):  
Sanjay Ram ◽  
Somnath Pal

There are two approaches for classification of chemical reactions: Model-Driven and Data-Driven. In this paper, the authors develop an efficient algorithm based on a model-driven approach developed by Ugi and co-workers for classification of chemical reactions. The authors’ algorithm takes reaction matrix of a chemical reaction as input and generates its appropriate class as output. Reaction matrices being symmetric, matrix implementation of Ugi’s scheme using upper/lower tri-angular matrix is of O(n2) in terms of space complexity. Time complexity of similar matrix implementation is O(n4), both in worst case as well as in average case. The proposed algorithm uses two fixed size look-up tables in a novel way and requires constant space complexity. Time complexity both in worst and average cases of the algorithm is linear.


2013 ◽  
Vol 760-762 ◽  
pp. 1842-1846
Author(s):  
Ling Yun Wang ◽  
Hong Hui Huang

UGNX6.0 is used as the development platform by its UG/KF development tools, fusing feature and knowledge together, so as to realize the process associated with the geometric design knowledge and stamping process design. Based on the features of stamping process, the classification of stamping process knowledge has been studied. With the object-oriented method, the rule-based and instance-based technology for expressing and acquiring the stamping process knowledge is discussed. Based on this, the stamping process model driven by knowledge has been established. A bending sheet was taken as an example in introducing the designing process of progressive die based on UG_PDW. The process arrangement was mainly introduced, and the bending part feature recognition and modeling were all elaborated and related examples were given in the paper. It showed the importance of the CAD technology in designing of relatively complex progressive dies.


Rich Internet Applications (RIAs) development has traditionally been addressed using framework-based development approaches (i.e., using application frameworks), which usually comprise tools such as Standard Development Kits (SDKs), class libraries, and Integrated Development Environments (IDEs). Nevertheless, another development approach that relies on Model-Driven Development (MDD) methodologies and tools has recently emerged as a result of the academic and commercial effort for alleviating the lack of development methodologies and support tools especially designed for the development of RIAs. In this chapter, a new classification of RIAs development approaches is proposed by introducing a third category: Rapid Application Development (RAD) approaches. Thereby, the chapter reviews not only IDEs for frameworks-based RIA development; it also addresses other support tools for MDD and RAD such as code generation tools. Additionally, the features, scope, and limitations of the analyzed tools are discussed by means of a series of usage scenarios addressing the RIAs implementation.


Author(s):  
Anton Chernichkin ◽  
Oksana Nikiforova

An approach to classification of MDA tools Nowadays there is a wide variety of tools, supporting the idea of software development process to be enriched by the principles of modelling—the source code is being generated from the model. Many of these purporting to be "MDA complaint" as well. Model driven architecture offers an approach to software development process that provides a separation of concerns, keeping the appropriate level of abstraction on each stage of development. Furthermore, the source code can be generated in a formal way, requiring no interference from the developer. There are two types of software development tools: the former type represents the semiautomatic approach, where the software is supposed to be created using system's model and code transformations, also considering different types of routines, which are done manually, while the latter type is an automatic solution, where no manual steps or routines are required. The original article defines various perspectives on positioning of MDA tools among CASE tools for software development, as well as proposes a methodological approach on classification of MDA tools. One of the perspectives that can be used in the MDA tool classification approach corresponds with the Model Driven Development life cycle, while the other one defines the role of modelling and model application levels in a whole development process. In addition, various sets of features have been defined, in order to clarify the accordance level of these tools from the MDA perspective.


1998 ◽  
Vol 14 (5) ◽  
pp. 671-685
Author(s):  
Torben G. Andersen

The abundance of high-frequency financial data and the rapid development of computer hardware have combined to transform financial economics into, arguably, the most empirically oriented field within the social sciences. At the same time, as a result of the difficulty of conducting genuine market experiments, empirical finance remains firmly grounded in the tradition of model-driven statistical inference that is characteristic of economics. Even so, the richness of data has often spurred a practical orientation that is more familiar in the natural sciences. The combination has proved fertile, leading to the classification of a set of loosely connected empirical topics as a distinct entity, financial econometrics.


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