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The technology of ceramic filters as a problem of their shaping
Dobrovolná, Martina ; Janíček, Martin (referee) ; Sokolář, Radomír (advisor)
The aim of this bachelor thesis is to evaluate possible production of ceramic filters made by dry pressing and to choose suitable granulate and its optimal moisture proper for this way of production. The theoretical part of the thesis explains the meaning of the usage of ceramic filters in a foundry industry. Further more, the technology of ceramic mixtures production and the technology of ceramic filters production made by wet pressing and dry pressing is drawn near in this thesis. The practical part describes the production process and the testing of experimental samples. The influence of different kinds of ceramic mixtures, their moisture and different modes of burning is compared to physical-mechanical features of ceramic potsherd. The output is to design a material with a set of typical features which would by suitable for dry pressing production.
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Automatic construction of semantic networks
Kirschner, Martin ; Pecina, Pavel (advisor) ; Holub, Martin (referee)
Presented work explores the possibilities of automatic construction and expansion of semantic networks with use of machine learning methods. The main focus is put on the feature retrieving procedure for the data set. The work presents a robust method of semantic relation retrieval, based on distributional hypothesis and trained on the data from Czech WordNet. We also show the first results for czech language in this area of research. Part of the thesis is also a set of software for processing and evaluating of input data and a overview and discussion about its results on real-world data. The resulting tools can process data of amount in orders of hundreds of millions of words. The research part of the thesis used Czech morphologicaly and syntacticaly annotated data, but the methods are not language dependent.
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Automatic construction of semantic networks
Kirschner, Martin ; Pecina, Pavel (advisor) ; Holub, Martin (referee)
Presented work explores the possibilities of automatic construction and expansion of semantic networks with use of machine learning methods. The main focus is put on the feature retrieving procedure for the data set. The work presents a method of semantic relation retrieval, based on distributional hypothesis and trained on the data from Czech WordNet. We also show the first results for Czech language in this area of research. Part of the thesis is also a set of software for processing and evaluating of input data and a overview and discussion about its results on real-world data. The resulting tools can process data of amount in orders of hundreds of millions of words. The research part of the thesis used Czech morphologically and syntactically annotated data, but the methods are not language dependent.
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The technology of ceramic filters as a problem of their shaping
Dobrovolná, Martina ; Janíček, Martin (referee) ; Sokolář, Radomír (advisor)
The aim of this bachelor thesis is to evaluate possible production of ceramic filters made by dry pressing and to choose suitable granulate and its optimal moisture proper for this way of production. The theoretical part of the thesis explains the meaning of the usage of ceramic filters in a foundry industry. Further more, the technology of ceramic mixtures production and the technology of ceramic filters production made by wet pressing and dry pressing is drawn near in this thesis. The practical part describes the production process and the testing of experimental samples. The influence of different kinds of ceramic mixtures, their moisture and different modes of burning is compared to physical-mechanical features of ceramic potsherd. The output is to design a material with a set of typical features which would by suitable for dry pressing production.
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|
|
Automatic construction of semantic networks
Kirschner, Martin ; Pecina, Pavel (advisor) ; Holub, Martin (referee)
Presented work explores the possibilities of automatic construction and expansion of semantic networks with use of machine learning methods. The main focus is put on the feature retrieving procedure for the data set. The work presents a method of semantic relation retrieval, based on distributional hypothesis and trained on the data from Czech WordNet. We also show the first results for Czech language in this area of research. Part of the thesis is also a set of software for processing and evaluating of input data and a overview and discussion about its results on real-world data. The resulting tools can process data of amount in orders of hundreds of millions of words. The research part of the thesis used Czech morphologically and syntactically annotated data, but the methods are not language dependent.
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Automatic construction of semantic networks
Kirschner, Martin ; Pecina, Pavel (advisor) ; Holub, Martin (referee)
Presented work explores the possibilities of automatic construction and expansion of semantic networks with use of machine learning methods. The main focus is put on the feature retrieving procedure for the data set. The work presents a robust method of semantic relation retrieval, based on distributional hypothesis and trained on the data from Czech WordNet. We also show the first results for czech language in this area of research. Part of the thesis is also a set of software for processing and evaluating of input data and a overview and discussion about its results on real-world data. The resulting tools can process data of amount in orders of hundreds of millions of words. The research part of the thesis used Czech morphologicaly and syntacticaly annotated data, but the methods are not language dependent.
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