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Tool for NDL
Myazina, Elena ; Richta, Karel (advisor) ; Kopecký, Michal (referee)
Title: Tool for NDL Author: Elena Myazina Department: Department of Software Engineering Supervisor: Doc. Ing. Karel Richta, CSc. Supervisor's Supervisor's e-mail address: richta@ksi.ms.mff.cuni.cz Abstrakt: -Current research networks allow end users to build their own application-specific connections (lightpaths) and Optical Private Networks (OPNs). This requires a clear communication between the requesting application and the network. The Network Description Language (NDL) is a vocabulary designed to describe optical networks based on the Resource Description Framework (RDF). These descriptions aid applications in querying the capabilities of the network and allow them to clearly express requests to the network. This work deals with the analysis of the current draft language NDL systems and optical components. He compares its potential and shortcomings of the proposal seeks. It also proposes a graphical representation corresponding to that language, which implements the graphical tool. The developed tool will allow the subsequent dialogs (voice) applications. Key words: NDL, RDF, optical mapping technology.
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Tools for NDL Elaboration
Myazina, Elena ; Richta, Karel (advisor) ; Kopecký, Michal (referee)
Title: Tools for NDL Elaboration Author: Bc. Elena Myazina Department: Department of Software Engineering Supervisor of the master thesis: doc. Ing. Karel Richta, CSc., Dept. of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague Abstract: Current state of research of networks enables end users to create custom connections (lightpaths) for a given application and optical private networks (OPNs). Such adjustments require clear communication between the requesting application and the desired network. Language NDL (Network Description Language) is used to describe such optical networks. NDL is based on the Resource Description Framework (RDF). This thesis analyzes the network description language NDL and its treatment. Current status of the network can be loaded in the form of the description in the NDL and displayed as the graphical representation. The representation enables to find out paths in the network, or edit the network. The result can then be transformed back into NDL format. Keywords: NDL, RDF, optical technology.
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Tools for NDL Elaboration
Myazina, Elena ; Richta, Karel (advisor) ; Kopecký, Michal (referee)
Title: Tools for NDL Elaboration Author: Bc. Elena Myazina Department: Department of Software Engineering Supervisor of the master thesis: doc. Ing. Karel Richta, CSc., Dept. of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague Abstract: Current state of research of networks enables end users to create custom connections (lightpaths) for a given application and optical private networks (OPNs). Such adjustments require clear communication between the requesting application and the desired network. Language NDL (Network Description Language) is used to describe such optical networks. NDL is based on the Resource Description Framework (RDF). This thesis analyzes the network description language NDL and its treatment. Current status of the network can be loaded in the form of the description in the NDL and displayed as the graphical representation. The representation enables to find out paths in the network, or edit the network. The result can then be transformed back into NDL format. Keywords: NDL, RDF, optical technology.
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Machine Learning for Credit Scoring
Myazina, Elena ; Pilát, Martin (advisor) ; Neruda, Roman (referee)
Title: Machine Learning for Credit Scoring Author: Elena Myazina Department / Institute: Department of Theoretical Computer Science and Mathematical Logic Supervisor of the master thesis: Mgr. Martin Pilát, Ph.D, Department of Theoretical Computer Science and Mathematical Logic Abstract: Credit scoring is a technique used by banks to evaluate their clients who ask for different types of loan. Its goal is to predict, whether a given client will pay their loan or not. Traditionally, mathematical models based on logistic regression are used for this task. In this thesis, we approach the problem of credit scoring from a machine learning point of view. We investigate several machine learning methods (including neural networks, random forests, support vector machines and other), and evaluate their performance for the credit scoring task on three publicly available datasets.. Keywords: machine learning, credit scoring,logistic regression, neural networks, random forest
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Tools for NDL Elaboration
Myazina, Elena ; Richta, Karel (advisor) ; Kopecký, Michal (referee)
Title: Tools for NDL Elaboration Author: Bc. Elena Myazina Department: Department of Software Engineering Supervisor of the master thesis: doc. Ing. Karel Richta, CSc., Dept. of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague Abstract: Current state of research of networks enables end users to create custom connections (lightpaths) for a given application and optical private networks (OPNs). Such adjustments require clear communication between the requesting application and the desired network. Language NDL (Network Description Language) is used to describe such optical networks. NDL is based on the Resource Description Framework (RDF). This thesis analyzes the network description language NDL and its treatment. Current status of the network can be loaded in the form of the description in the NDL and displayed as the graphical representation. The representation enables to find out paths in the network, or edit the network. The result can then be transformed back into NDL format. Keywords: NDL, RDF, optical technology.
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Tools for NDL Elaboration
Myazina, Elena ; Richta, Karel (advisor) ; Kopecký, Michal (referee)
Title: Tools for NDL Elaboration Author: Bc. Elena Myazina Department: Department of Software Engineering Supervisor of the master thesis: doc. Ing. Karel Richta, CSc., Dept. of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague Abstract: Current state of research of networks enables end users to create custom connections (lightpaths) for a given application and optical private networks (OPNs). Such adjustments require clear communication between the requesting application and the desired network. Language NDL (Network Description Language) is used to describe such optical networks. NDL is based on the Resource Description Framework (RDF). This thesis analyzes the network description language NDL and its treatment. Current status of the network can be loaded in the form of the description in the NDL and displayed as the graphical representation. The representation enables to find out paths in the network, or edit the network. The result can then be transformed back into NDL format. Keywords: NDL, RDF, optical technology.
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Tool for NDL
Myazina, Elena ; Richta, Karel (advisor) ; Kopecký, Michal (referee)
Title: Tool for NDL Author: Elena Myazina Department: Department of Software Engineering Supervisor: Doc. Ing. Karel Richta, CSc. Supervisor's Supervisor's e-mail address: richta@ksi.ms.mff.cuni.cz Abstrakt: -Current research networks allow end users to build their own application-specific connections (lightpaths) and Optical Private Networks (OPNs). This requires a clear communication between the requesting application and the network. The Network Description Language (NDL) is a vocabulary designed to describe optical networks based on the Resource Description Framework (RDF). These descriptions aid applications in querying the capabilities of the network and allow them to clearly express requests to the network. This work deals with the analysis of the current draft language NDL systems and optical components. He compares its potential and shortcomings of the proposal seeks. It also proposes a graphical representation corresponding to that language, which implements the graphical tool. The developed tool will allow the subsequent dialogs (voice) applications. Key words: NDL, RDF, optical mapping technology.
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