Applied Information Science, Engineering and Technology, 1st Edition

  • Published By:
  • ISBN-10: 3319019198
  • ISBN-13: 9783319019192
  • DDC: 004
  • Grade Level Range: College Freshman - College Senior
  • 227 Pages | eBook
  • Original Copyright 2014 | Published/Released May 2014
  • This publication's content originally published in print form: 2014

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The objective of the book is to give a selection from the papers, which summarize several important results obtained within the framework of the József Hatvany Doctoral School operating at the University of Miskolc, Hungary. In accordance with the three main research areas of the Doctoral School established for Information Science, Engineering and Technology, the papers can be classified into three groups. They are as follows: (1) Applied Computational Science; (2) Production Information Engineering (IT for Manufacturing included); (3) Material Stream Systems and IT for Logistics. As regards the first area, some papers deal with special issues of algorithms theory and its applications, with computing algorithms for engineering tasks, as well as certain issues of data base systems and knowledge intensive systems. Related to the second research area, the focus is on Production Information Engineering with special regard to discrete production processes. In the second research area the papers show some new integrated systems suitable for optimizing discrete production processes in a top-down way. The papers connecting with the third research field deal with different issues of materials stream systems and logistics, taking into consideration of applied mathematical models and IT-tools. The book makes an effort to ensure certain equilibrium between theory and practice and to show some new approach both from theoretical modelling aspect, as well as experimental and practical point of view.  

Table of Contents

Front Cover.
Editorial Board.
Title Page.
Copyright Page.
1: Parameter Estimation for Symmetric Stable Distributions by Probability Integral Transformation.
2: Prediction of the Network Administration Course Results Based on Fuzzy Inference.
3: Optimization Tasks in the Conversion of Natural Language Texts into Function Calls.
4: Pattern Distillation in Grammar Induction Methods.
5: Advanced 2D Rasterization on Modern CPUs.
6: Numerical Analysis of Free Convection from a Vertical Surface Embedded in a Porous Medium.
7: On Some Functions of the MES Applications Supporting Production Operations Management.
8: New Theory and Application for Generating Enveloping Surfaces Without Undercuts.
9: New Solutions in Online Sheet Thickness Measurements in Incremental Sheet Forming.
10: New Online Flicker Measuring Method and Module.
11: Presenting a Logistics Oriented Research Project in the Field of E-marketplace Integrated Virtual Enterprises.
12: Agribusiness Clusters and Logistic Processes Through the Example of Hungary.