Applied Information Science, Engineering and Technology: by Csilla Csendes, Sándor Fegyverneki (auth.), Gabriella
By Csilla Csendes, Sándor Fegyverneki (auth.), Gabriella Bognár, Tibor Tóth (eds.)
The aim of the e-book is to offer a variety from the papers, which summarize a number of vital effects got in the framework of the József Hatvany Doctoral institution working on the collage of Miskolc, Hungary. in response to the 3 major study parts of the Doctoral university proven for info technology, Engineering and expertise, the papers could be categorised into 3 teams. they're as follows: (1) utilized Computational technological know-how; (2) construction info Engineering (IT for production included); (3) fabric circulate structures and IT for Logistics. As regards the 1st quarter, a few papers take care of certain problems with algorithms concept and its purposes, with computing algorithms for engineering initiatives, in addition to definite problems with info base structures and data extensive structures. regarding the second one learn quarter, the focal point is on construction details Engineering with distinctive regard to discrete creation techniques. within the moment learn quarter the papers express a few new built-in platforms appropriate for optimizing discrete creation tactics in a top-down approach. The papers connecting with the 3rd examine box care for diverse problems with fabrics circulate platforms and logistics, making an allowance for of utilized mathematical types and IT-tools. The publication makes an attempt to make sure convinced equilibrium among thought and perform and to teach a few new procedure either from theoretical modelling element, in addition to experimental and functional perspective.
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Additional info for Applied Information Science, Engineering and Technology: Selected Topics from the Field of Production Information Engineering and IT for Manufacturing: Theory and Practice
A probability value is assigned to every element of GP . For the sample sentence (S4) the morpheme analyzer returns the following morpheme structure: tegnap : [FN] + [NOM] | [HA] telefonált : [IGE] + [MIB] + [e3] Zoli : [FN] + [NOM] Peti :[FN] + [NOM] barátjának : [FN] + [PSe3] + [DAT] The symbol [x] denotes here a morpheme tag of the word. In the example, the following symbols are used: FN(noun), HA(adverb), IGE(verb), DAT(dative). Based on this list, a graph model can be generated as it is shown in Fig.
1). There can be such situations when several concepts exist in a sentence with the same part of speech tags. In this case a dependency can be defined in the parameter description between the concept and its parent concept in sentence analysis. For instance, there can be several adjectives in the sentence in different positions and the attached concept decides to which parameter they should be mapped. ) (S2) 34 P. Barabás and L. Kovács Fig. ,10) The source currency is the subject in both cases, while the target currency is the adverb.
It can be stated that without prior knowledge about concepts belonging to the domain of the sentences, the sentence analysis cannot be accomplished accurately. For instance, if the predicate concept of the sentence is unknown, the other parts of speech cannot be bound and determined. Morpheme analysis helps a great deal in guessing the parts of speech for a sentence, but there is no definite mapping between most of the morpheme labels and parts of speech. Taking the sentence A t¨ort´enelem k o¨ nyv nagyon e´ rdekes.