National Repository of Grey Literature 38 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
open source artificial intelligence options
Ostrý, Lubomír ; Kumpán, Pavel (referee) ; Appel, Martin (advisor)
This thesis focuses on open source tools and resources in the field of artificial intelligence, particularly in machine learning. The aim is to analyze current state, possibilities and limitations of work with a set of open source artificial intelligence programs. The first part describes and explains basic terms regarding machine learning, mainly neural networks, their training and use. Following section describes a set of machine learning tools, specifically their main characteristics, compatibility and use. Available sources of open source datasets for neural network training is a topic of another chapter. Lastly an application was created using a selection of described tools displaying their possibilities and use.
Design of security infrastructure for electronic archive
Doležel, Radek ; Lattenberg, Ivo (referee) ; Zeman, Václav (advisor)
This master's thesis deals with design of security infrastructure for electronic archive. In theoretical part is disscus about technical resources which are based on security services and protocols and methods which are used for protection. On basics of theoretical part is designed model of security infrastructure and it is built in laboratory. Model of security infrastructure is based on Open Source Software and as safety storages for private user authentication data are used cryptographic USB tokens. This master's thesis includes design and construction of real infrastructure of secured electronic archive. In each part of master's thesis is put main emphases on security and clear explanation from the beginning of desing of model of security infrastructure for electronic archive to finish of construction.
Creating e-shop with free CMS system
Folta, Martin ; Vlček, Václav (referee) ; Kříž, Jiří (advisor)
Work deals with possibility to use free CMS systems for developing electronic business in Czech conditions with all specificity Czech environments.
Public Licences
Schwarz, Vojtěch ; Holcová, Irena (advisor) ; Dobřichovský, Tomáš (referee)
Public licenses Abstract This master thesis aims to provide a comprehensive overview of the legal concept of public licenses and the issue of free (libre) and open source software. To achieve this, it analyzes all relevant legislation, both on a national constitutional and statutory level, specifically the Czech Civil Code and the Czech Copyright Act, and on an international level through the relevant legislation of the European Union and international treaties signed by the Czech Republic. In addition to the analysis of legislative acts, it deals with the relevant judicial decisions of foreign countries, since no such decisions were yet made by Czech courts. Apart from the above mentioned, the most important analysis consist of an in-depth dive into the wording of the license terms of selected licenses, namely Creative Commons and its variants, the GNU General Public License (versions 2.0 and 3.0), the BSD License and the MIT License, all of which apart for the Creative Commons licenses were selected due to them being the most used public licenses based on data from the online open source software repository Sourceforge. The thesis consists of three main topical areas, each of which forms an important part of the comprehensive analysis of the legal concept of public licenses. The first offers an overview...
Supporting processing of tomographic data for 3D Slicer
Dašek, Filip ; Harabiš, Vratislav (referee) ; Čmiel, Vratislav (advisor)
Thesis summarize available softwares for visualization and segmentation of medical data. Main focus is on open source software 3D Slicer, where all main modules and functions for processing and segmentation of 3D images are described. The reader is also acquaint with posibility to create new modules and function in Python. In practical part of thesis new modul is created. Modul is focused on fast and effective segmentation of heart and their parts by using watershed method. Part of the module are tools for preprocessing of CT images and automatic post-processing. GUI was implemented and created with QT designer. Thesis containts testing and presenting segmented data. Segmentation by presented modul generaly achieves better results then options offered by 3D Slicer. In the last part of thesis is presented proposal for usage of supporting funtions for fast and efective segmentation of heart and his parts.
CLARIN-DSpace repository at LINDAT/CLARIN : LINDAT/CLARIN FAIR repository for language data
Straňák, Pavel ; Košarko, Ondřej ; Mišutka, Jozef
We will present a software solution for and experience in running a digital repository for language data and natural language processing tools - LINDAT/CLARIN. We will present unique support for licensing with an emphasis on Open Access, and how we support all 4 key FAIR principles. We will show the submission workflow including license choice, approval and publishing or submissions by editors, as well as the repository administration environment including license definition, signing and access control. We will also present repository integration with other services, and statistics of operation.
Fulltext: Stranak_Kosarko_Misutka_fulltext - Download fulltextPDF
Slides: Stranak_prezentace_EN - Download fulltextPDF
Video: Stranak_video - Download fulltextMP4
Project ReShare: an open, community-owned, resource sharing solution
Dethloff, Nora ; Ibbotson, Ian ; Rose, Kristina ; Thompson, Sydney
The ReShare Community is a group of libraries, information organizations, and developers, with both commercial and non-commercial interests, who came together in 2018 to create a new and open approach to library resource sharing systems. Libraries have long established protocols and agreements among local, regional, national, and international networks to provide discovery and access to print and digital resources, extending the use and value of each library’s collection exponentially. However, current resource sharing solutions leave much to be desired. The marketplace has been characterized by stagnating technology, closed or siloed environments, and a consolidation of commercial options, leaving consortia to desire a fresh start; a re-imagined infrastructure that promotes an increased ability to innovate, experiment, and communicate across diverse library systems (ILS, discovery, resource sharing, etc.) and more sustainably pursue shared collection development and print retention initiatives. ReShare aims to inject new life into the space by developing a community-owned, modular resource sharing platform, enabling libraries and consortia to place library users at the center, from discovery, to request management and fulfillment. Project ReShare’s key differentiator is its foundation as a wholly community-owned solution. This approach offers libraries and commercial partners a fundamentally new model for shaping collections and connecting people with what they need, by greatly deepening our ability to collaborate and develop systems responsive to the needs of libraries and their users. In this paper, members of the Project ReShare Steering Committee and Product Management Team explore the frustrations with the current resource sharing environment, share perspectives on the importance of community-owned, open source tools, and discuss the benefits of this type of collaboration for the library community at large. The paper tells the story of Project ReShare, including how it is being developed, how the community has grown, and the potential for this new resource sharing solution.
Fulltext: idr-1380_1_paper - Download fulltextPDF
Slides: idr-1380_2_presentation - Download fulltextPDF
Video: idr-1380_3_video - Download fulltextMP4
open source artificial intelligence options
Ostrý, Lubomír ; Kumpán, Pavel (referee) ; Appel, Martin (advisor)
This thesis focuses on open source tools and resources in the field of artificial intelligence, particularly in machine learning. The aim is to analyze current state, possibilities and limitations of work with a set of open source artificial intelligence programs. The first part describes and explains basic terms regarding machine learning, mainly neural networks, their training and use. Following section describes a set of machine learning tools, specifically their main characteristics, compatibility and use. Available sources of open source datasets for neural network training is a topic of another chapter. Lastly an application was created using a selection of described tools displaying their possibilities and use.
Using Cucumber for Collaboration
Greenall, Rurik
Lightning Talks (June 8), video recording is available at: http://repozitar.techlib.cz/record/1275
Slides: Download fulltextPDF

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