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The Global ETD Search service is a free service for researchers
to find electronic theses and dissertations. This service is
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Networked Digital Library of Theses and Dissertations.
Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
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Showing 31 to 35 of 35 (0.032 seconds)Spelling suggestions: "subject:"[een] MVP"" "subject:"[enn] MVP""
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Service Design / Service DesignFišerová, Barbora Unknown Date (has links)
The diploma thesis describes the design of your own web application within the long-term collaborative project co.llaborate.online. In a small team, we reflect on our own workflow and designer work. Currently, the common goal is the design and development of MVP for processing text, images and other graphic material into any graphic output - graphic editor co.design. As part of the project, we have also focused for a long time on the concept of compatible MVPs for text editing or data management and user research. The starting point of co.llaborate.online is the principle of DRY (Don't repeat yourself) and the principles of web technologies. We test how certain workflows can be automated and facilitate the collaboration of designers, text authors, editors, proofreaders, etc., or emancipate users from unnecessary activities.
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Non-Parametric Clustering of Multivariate Count DataTekumalla, Lavanya Sita January 2017 (has links) (PDF)
The focus of this thesis is models for non-parametric clustering of multivariate count data. While there has been significant work in Bayesian non-parametric modelling in the last decade, in the context of mixture models for real-valued data and some forms of discrete data such as multinomial-mixtures, there has been much less work on non-parametric clustering of Multi-variate Count Data. The main challenges in clustering multivariate counts include choosing a suitable multivariate distribution that adequately captures the properties of the data, for instance handling over-dispersed data or sparse multivariate data, at the same time leveraging the inherent dependency structure between dimensions and across instances to get meaningful clusters.
As the first contribution, this thesis explores extensions to the Multivariate Poisson distribution, proposing efficient algorithms for non-parametric clustering of multivariate count data. While Poisson is the most popular distribution for count modelling, the Multivariate Poisson often leads to intractable inference and a suboptimal t of the data. To address this, we introduce a family of models based on the Sparse-Multivariate Poisson, that exploit the inherent sparsity in multivariate data, reducing the number of latent variables in the formulation of Multivariate Poisson leading to a better t and more efficient inference. We explore Dirichlet process mixture model extensions and temporal non-parametric extensions to models based on the Sparse Multivariate Poisson for practical use of Poisson based models for non-parametric clustering of multivariate counts in real-world applications. As a second contribution, this thesis addresses moving beyond the limitations of Poisson based models for non-parametric clustering, for instance in handling over dispersed data or data with negative correlations. We explore, for the first time, marginal independent inference techniques based on the Gaussian Copula for multivariate count data in the Dirichlet Process mixture model setting. This enables non-parametric clustering of multivariate counts without limiting assumptions that usually restrict the marginal to belong to a particular family, such as the Poisson or the negative-binomial. This inference technique can also work for mixed data (combination of counts, binary and continuous data) enabling Bayesian non-parametric modelling to be used for a wide variety of data types. As the third contribution, this thesis addresses modelling a wide range of more complex dependencies such as asymmetric and tail dependencies during non-parametric clustering of multivariate count data with Vine Copula based Dirichlet process mixtures. While vine copula inference has been well explored for continuous data, it is still a topic of active research for multivariate counts and mixed multivariate data. Inference for multivariate counts and mixed data is a hard problem owing to ties that arise with discrete marginal. An efficient marginal independent inference approach based on extended rank likelihood, based on recent work in the statistics literature, is proposed in this thesis, extending the use vines for multivariate counts and mixed data in practical clustering scenarios.
This thesis also explores the novel systems application of Bulk Cache Preloading by analysing I/O traces though predictive models for temporal non-parametric clustering of multivariate count data. State of the art techniques in the caching domain are limited to exploiting short-range correlations in memory accesses at the milli-second granularity or smaller and cannot leverage long range correlations in traces. We explore for the first time, Bulk Cache Preloading, the process of pro-actively predicting data to load into cache, minutes or hours before the actual request from the application, by leveraging longer range correlation at the granularity of minutes or hours. This enables the development of machine learning techniques tailored for caching due to relaxed timing constraints. Our approach involves a data aggregation process, converting I/O traces into a temporal sequence of multivariate counts, that we analyse with the temporal non-parametric clustering models proposed in this thesis. While the focus of our thesis is models for non-parametric clustering for discrete data, particularly multivariate counts, we also hope our work on bulk cache preloading paves the way to more inter-disciplinary research for using data mining techniques in the systems domain.
As an additional contribution, this thesis addresses multi-level non-parametric admixture modelling for discrete data in the form of grouped categorical data, such as document collections. Non-parametric clustering for topic modelling in document collections, where a document is as-associated with an unknown number of semantic themes or topics, is well explored with admixture models such as the Hierarchical Dirichlet Process. However, there exist scenarios, where a doc-ument requires being associated with themes at multiple levels, where each theme is itself an admixture over themes at the previous level, motivating the need for multilevel admixtures. Consider the example of non-parametric entity-topic modelling of simultaneously learning entities and topics from document collections. This can be realized by modelling a document as an admixture over entities while entities could themselves be modeled as admixtures over topics. We propose the nested Hierarchical Dirichlet Process to address this gap and apply a two level version of our model to automatically learn author entities and topics from research corpora.
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Rozhodovací metody v managementu rizik / Decision Risks Management MethodsJanošík, Petr January 2011 (has links)
This thesis deals with the matter of risk managament in IT projects. It explains the importance of risk management in such projects and shows different ways and methods of managing and analyzing the risks. After explaining the basic concepts and the various phases of risk management the text focuses on two methods of risk analysis - the fault tree analysis of event tree analysis. Use of both methods is explained for both quantitative and qualitative analyses. The second half of the work includes the design of an application for the support of risk analysis employing the methods of fault tree analysis and event tree analysis. This is followed by a description of the implementation of the proposed system in a web environment using jQuery, Nette Framework and Dibi.
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Web applications using the Google Web Toolkit / Webanwendungen unter Verwendung des Google Web Toolkitsvon Wenckstern, Michael 04 June 2013 (has links) (PDF)
This diploma thesis describes how to create or convert traditional Java programs to desktop-like rich internet applications with the Google Web Toolkit.
The Google Web Toolkit is an open source development environment, which translates Java code to browser and device independent HTML and JavaScript.
Most of the GWT framework parts, including the Java to JavaScript compiler as well as important security issues of websites will be introduced.
The famous Agricola board game will be implemented in the Model-View-Presenter pattern to show that complex user interfaces can be created with the Google Web Toolkit.
The Google Web Toolkit framework will be compared with the JavaServer Faces one to find out which toolkit is the right one for the next web project. / Diese Diplomarbeit beschreibt die Erzeugung desktopähnlicher Anwendungen mit dem Google Web Toolkit und die Umwandlung klassischer Java-Programme in diese.
Das Google Web Toolkit ist eine Open-Source-Entwicklungsumgebung, die Java-Code in browserunabhängiges als auch in geräteübergreifendes HTML und JavaScript übersetzt.
Vorgestellt wird der Großteil des GWT Frameworks inklusive des Java zu JavaScript-Compilers sowie wichtige Sicherheitsaspekte von Internetseiten.
Um zu zeigen, dass auch komplizierte graphische Oberflächen mit dem Google Web Toolkit erzeugt werden können, wird das bekannte Brettspiel Agricola mittels Model-View-Presenter Designmuster implementiert.
Zur Ermittlung der richtigen Technologie für das nächste Webprojekt findet ein Vergleich zwischen dem Google Web Toolkit und JavaServer Faces statt.
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| 35 |
Web applications using the Google Web Toolkitvon Wenckstern, Michael 05 June 2013 (has links)
This diploma thesis describes how to create or convert traditional Java programs to desktop-like rich internet applications with the Google Web Toolkit.
The Google Web Toolkit is an open source development environment, which translates Java code to browser and device independent HTML and JavaScript.
Most of the GWT framework parts, including the Java to JavaScript compiler as well as important security issues of websites will be introduced.
The famous Agricola board game will be implemented in the Model-View-Presenter pattern to show that complex user interfaces can be created with the Google Web Toolkit.
The Google Web Toolkit framework will be compared with the JavaServer Faces one to find out which toolkit is the right one for the next web project.:I Abstract
II Contents
III Acronyms and Glossary
III.I Acronyms
III.II Glossary
IV Credits
1 Introduction
2 Basics
2.1 Development of the World Wide Web
2.2 Hypertext Markup Language
2.3 Cascading Style Sheets
2.4 JavaScript
2.5 Hypertext Markup Language Document Object Model
2.6 Asynchronous JavaScript and XML
3 GWT toolbox and compiler
3.1 GWT in action
3.2 A short overview of the toolkit
3.3 GWT compiler and JSNI
3.3.1 Overview of GWT compiler and JSNI
3.3.2 Deferred binding and bootstrapping process
3.3.3 GWT compiler steps and optimizations
3.4 Java Runtime Environment Emulation
3.5 Widgets and Panels
3.5.1 Overview of GWT Widgets
3.5.2 Event handlers in GWT Widgets
3.5.3 Manipulating browser’s DOM with GWT DOM class
3.5.4 GWT Designer and view optimization using UiBinder
3.6 Remote Procedure Calls
3.6.1 Comparison of Remote Procedure Calls with Remote Method Invocations
3.6.2 GWT’s RPC service and serializable whitelist
3.7 History Management
3.8 Client Bundle
3.8.1 Using ImageResources in the ClientBundle interface
3.8.2 Using CssResources in the ClientBundle interface
4 Model-View-Presenter Architecture
4.1 Comparison of MVP and MVC
4.2 GWT Model-View-Presenter pattern example: Agricola board game
4.3 Extending the Agricola web application with mobile views
4.4 Introducing activities in the Agricola Model-View-Presenter pattern enabling browser history
5 Comparison of the two web frameworks: GWT and JSF
5.1 Definitions of comparison fields
5.2 Comparison in category 1: Nearly completely static sites with a little bit of dynamic content, e.g. news update
5.3 Comparison in category 2: Doing a survey in both technologies
5.4 Comparison in category 3: Creating a forum to show data
5.5 Comparison in category 4: Writing a chat application
5.6 Comparison in category 5: Writing the speed game Snake
5.7 Summary
6 Security
6.1 Download Tomcat
6.2 Dynamic Web Application Project with GWT and Tomcat
6.3 Establish HTTPS connections in Tomcat
6.3.1 Create a pem certificate
6.3.2 Convert pem certificate into a key store object
6.3.3 Configure Tomcat’s XML files to enable HTPPS
6.4 Establish a database connection in Tomcat
6.4.1 Create TomcatGWT user and schema, and add the table countries
6.4.2 Configure Tomcat’s XML files to get access to the database connection
6.4.3 PreparedStatements avoid MySQL injections
6.5 Login mechanism in Tomcat
6.6 SafeHtml
7 Presenting a complex software application written in GWT
8 Conclusions
8.1 Summary
8.2 Future work
A Appendix
A 1 Configure the Google Web Toolkit framework in Eclipse
A 1.1 Install the Java Developer Kit
A 1.2 Download Eclipse
A 1.3 Install the GWT plugin in Eclipse
A 1.4 Create first GWT Java Project
A 2 Figures
A 3 Listings
A 3.1 Source code of the Agricola board game
A 3.2 Source code of GWT and JSF comparison
A 4 Tables
R Lists and References
R 1 Lists
R 1.1 List of Tables
R 1.2 List of Figures
R 1.3 List of Listings
R 2 References
R 2.1 Books
R 2.2 Online resources / Diese Diplomarbeit beschreibt die Erzeugung desktopähnlicher Anwendungen mit dem Google Web Toolkit und die Umwandlung klassischer Java-Programme in diese.
Das Google Web Toolkit ist eine Open-Source-Entwicklungsumgebung, die Java-Code in browserunabhängiges als auch in geräteübergreifendes HTML und JavaScript übersetzt.
Vorgestellt wird der Großteil des GWT Frameworks inklusive des Java zu JavaScript-Compilers sowie wichtige Sicherheitsaspekte von Internetseiten.
Um zu zeigen, dass auch komplizierte graphische Oberflächen mit dem Google Web Toolkit erzeugt werden können, wird das bekannte Brettspiel Agricola mittels Model-View-Presenter Designmuster implementiert.
Zur Ermittlung der richtigen Technologie für das nächste Webprojekt findet ein Vergleich zwischen dem Google Web Toolkit und JavaServer Faces statt.:I Abstract
II Contents
III Acronyms and Glossary
III.I Acronyms
III.II Glossary
IV Credits
1 Introduction
2 Basics
2.1 Development of the World Wide Web
2.2 Hypertext Markup Language
2.3 Cascading Style Sheets
2.4 JavaScript
2.5 Hypertext Markup Language Document Object Model
2.6 Asynchronous JavaScript and XML
3 GWT toolbox and compiler
3.1 GWT in action
3.2 A short overview of the toolkit
3.3 GWT compiler and JSNI
3.3.1 Overview of GWT compiler and JSNI
3.3.2 Deferred binding and bootstrapping process
3.3.3 GWT compiler steps and optimizations
3.4 Java Runtime Environment Emulation
3.5 Widgets and Panels
3.5.1 Overview of GWT Widgets
3.5.2 Event handlers in GWT Widgets
3.5.3 Manipulating browser’s DOM with GWT DOM class
3.5.4 GWT Designer and view optimization using UiBinder
3.6 Remote Procedure Calls
3.6.1 Comparison of Remote Procedure Calls with Remote Method Invocations
3.6.2 GWT’s RPC service and serializable whitelist
3.7 History Management
3.8 Client Bundle
3.8.1 Using ImageResources in the ClientBundle interface
3.8.2 Using CssResources in the ClientBundle interface
4 Model-View-Presenter Architecture
4.1 Comparison of MVP and MVC
4.2 GWT Model-View-Presenter pattern example: Agricola board game
4.3 Extending the Agricola web application with mobile views
4.4 Introducing activities in the Agricola Model-View-Presenter pattern enabling browser history
5 Comparison of the two web frameworks: GWT and JSF
5.1 Definitions of comparison fields
5.2 Comparison in category 1: Nearly completely static sites with a little bit of dynamic content, e.g. news update
5.3 Comparison in category 2: Doing a survey in both technologies
5.4 Comparison in category 3: Creating a forum to show data
5.5 Comparison in category 4: Writing a chat application
5.6 Comparison in category 5: Writing the speed game Snake
5.7 Summary
6 Security
6.1 Download Tomcat
6.2 Dynamic Web Application Project with GWT and Tomcat
6.3 Establish HTTPS connections in Tomcat
6.3.1 Create a pem certificate
6.3.2 Convert pem certificate into a key store object
6.3.3 Configure Tomcat’s XML files to enable HTPPS
6.4 Establish a database connection in Tomcat
6.4.1 Create TomcatGWT user and schema, and add the table countries
6.4.2 Configure Tomcat’s XML files to get access to the database connection
6.4.3 PreparedStatements avoid MySQL injections
6.5 Login mechanism in Tomcat
6.6 SafeHtml
7 Presenting a complex software application written in GWT
8 Conclusions
8.1 Summary
8.2 Future work
A Appendix
A 1 Configure the Google Web Toolkit framework in Eclipse
A 1.1 Install the Java Developer Kit
A 1.2 Download Eclipse
A 1.3 Install the GWT plugin in Eclipse
A 1.4 Create first GWT Java Project
A 2 Figures
A 3 Listings
A 3.1 Source code of the Agricola board game
A 3.2 Source code of GWT and JSF comparison
A 4 Tables
R Lists and References
R 1 Lists
R 1.1 List of Tables
R 1.2 List of Figures
R 1.3 List of Listings
R 2 References
R 2.1 Books
R 2.2 Online resources
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