Iskanje po katalogu digitalne knjižnice

Opis: Na osnovi študija obstoječe sodobne literature in virov na temo dojenja smo izdelali terminološki glosar za jezikovni par slovenščina-nemščina, ki bi lahko služil kot nov prevajalski pripomoček. Diplomsko delo je razdeljeno na dva velika dela: v prvem, teoretičnem, delu smo predstavili strokovno prevajanje, skušali razmejiti strokovni in splošni jezik ter poudarili pomen razumevanja terminologije v strokovnih besedilih. Prav tako smo ozavestili načine pridobivanja ustreznih informacij s pomočjo sodobnih tehnologij, uporabo elektronskih virov, korpusov in nenazadnje prevajalskih forumov. Opredelili smo pojem terminoloških baz, povzeli razlike med terminološko zbirko (bazo) in terminološkim slovarjem, kot primer najbolj znanih in uporabnih terminoloških podatkovnih zbirk pa navedli Evroterm in IATE. Razložili smo, kakšni podatki so »Open Translation Data«. Ker za dober prevod samo jezikovno znanje ni dovolj, smo opredelili pojem prevajalskih kompetenc in navedli tri primere pojmovanja koncepta kompetenc. Nenazadnje smo se posvetili tudi dojenju, navedli glavne prednosti dojenja za otroka in mater, največje težave, ki se pojavljajo pri dojenju, opisali položaje in tehnike dojenja, sestavo materinega mleka ter alternativne oblike hranjenja. Drugi, empirični, del diplomskega dela predstavlja glosar na temo dojenja. Glosar je dvojezičen, in sicer slovensko-nemški ter nemško-slovenski. Glosar je v prvi vrsti namenjen prevajalcem, pa tudi strokovnjakom, ki se ukvarjajo z dojenjem, ter nenazadnje laikom, ki se med prebiranjem literature na to temo srečajo z manj znanimi termini. Diplomsko nalogo smo izdelali na osnovi študija literature ter z zbiranjem virov in dokumentacije. Zbrane podatke in spoznanja smo ustrezno uredili in obdelali. Skozi celotno nalogo se prepletajo in dopolnjujejo naslednje metode dela: deskriptivna metoda, komparativna metoda, metoda klasifikacije ter metoda analize in sinteze.
Ključne besede: strokovni jezik, elektronski viri, korpusi besedil, terminološke podatkovne baze, Open Translation Data, prevajalski postopki, prevajalske kompetence, dojenje, glosar.
Objavljeno v DKUM: 01.12.2015; Ogledov: 1917; Prenosov: 179
Celotno besedilo (1,58 MB)

Opis: Systems based on principal component analysis have developed from exploratory data analysis in the past to current data processing applications which encode and decode vectors of data using a changing projection space (eigenspace). Linear systems, which need to be solved to obtain a constantly updated eigenspace, have increased significantly in their dimensions during this evolution. The basic scheme used for updating the eigenspace, however, has remained basically the same: (re)computing the eigenspace whenever the error exceeds a predefined threshold. In this paper we propose a computationally efficient eigenspace updating scheme, which specifically supports high-dimensional systems from any domain. The key principle is a prior selection of the vectors used to update the eigenspace in combination with an optimized eigenspace computation. The presented theoretical analysis proves the superior reconstruction capability of the introduced scheme, and further provides an estimate of the achievable compression ratios.
Ključne besede: eigenspace, projection space, data compression, principal component analysis
Objavljeno v DKUM: 10.07.2015; Ogledov: 1492; Prenosov: 92
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Opis: The aim of this work was to design a quick and reliable method for the evaluation and classification of wastewater streams into treatable and non-treatable effluents for reuse/recycling. Different chemometric methods were used for this purpose handling the enormous amount of data, and additionally to find any hidden information, which would increase our knowledge and improve the classification. The data obtained from the processes description, together with the analytical results of measured parameters' characterising the wastewater of a particular process, enabled us to build a fast-decision model for separating different textile wastewater outlets. Altogether 49 wastewater samples from the textile finishing company were analysed, and 19 different physical chemical measurements were performed for each of them. The resulting classification model was aimed at an automated decision about the choice of treatment technologies or a prediction about the reusability of wastewaters within any textile finishing or other company having similar characteristics of wastewater streams.
Ključne besede: textile finishing wastewater, chemometrics, multivariate data analysis, wastewater treatment
Objavljeno v DKUM: 10.07.2015; Ogledov: 1960; Prenosov: 80
Celotno besedilo (130,86 KB)
Gradivo ima več datotek! Več...

Opis: LabVIEW enables programing and development of different interfaces for monitoring. Because of worldwide increasing demands for condition monitoring and demands to increase productivity, a new user interface for data acquisition is developed and applied to gather data and information during cutting. Other possibilities for implementing the method into production process are also researched. To monitor a high speed process, the use of high speed camera is inevitable.. This paper presents preliminary development, tests and result.
Ključne besede: monitoring, milling, data acquisition, LabVIEW
Objavljeno v DKUM: 10.07.2015; Ogledov: 1316; Prenosov: 63
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Ključne besede: knowledge discovery, subgroup discovery, data mining
Objavljeno v DKUM: 10.07.2015; Ogledov: 3417; Prenosov: 51
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