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Article
Publication date: 1 April 1990

H.J. Böhm, F.G. Rammerstorfer, R. Schmid, A. Starlinger and R. Slavicek

The biomechanical problem of investigating the behaviour of a maxillary partial denture is treated by non‐linear finite element analyses. The finite element models developed allow…

28

Abstract

The biomechanical problem of investigating the behaviour of a maxillary partial denture is treated by non‐linear finite element analyses. The finite element models developed allow the solution of an inverse problem to find material data of the palatal tissue and the computation of pressure distributions between the palatal plate of the denture and the palatal tissue as well as the determination of the forces acting on the anchoring teeth. This information is essential from the physiological point of view in order to avoid configurations causing pain to the patient and to prevent the natural teeth from becoming slack. Such analyses can serve as a basis for the computer aided design of proper palatal dentures.

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Engineering Computations, vol. 7 no. 4
Type: Research Article
ISSN: 0264-4401

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Article
Publication date: 1 March 2002

Jaroslav Mackerle

Gives a bibliographical review of the finite element analyses of sandwich structures from the theoretical as well as practical points of view. Both isotropic and composite…

3477

Abstract

Gives a bibliographical review of the finite element analyses of sandwich structures from the theoretical as well as practical points of view. Both isotropic and composite materials are considered. Topics include: material and mechanical properties of sandwich structures; vibration, dynamic response and impact problems; heat transfer and thermomechanical responses; contact problems; fracture mechanics, fatigue and damage; stability problems; special finite elements developed for the analysis of sandwich structures; analysis of sandwich beams, plates, panels and shells; specific applications in various fields of engineering; other topics. The analysis of cellular solids is also included. The bibliography at the end of this paper contains 655 references to papers, conference proceedings and theses/dissertations dealing with presented subjects that were published between 1980 and 2001.

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Engineering Computations, vol. 19 no. 2
Type: Research Article
ISSN: 0264-4401

Keywords

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Article
Publication date: 14 May 2019

Ahsan Mahmood, Hikmat Ullah Khan, Zahoor Ur Rehman, Khalid Iqbal and Ch. Muhmmad Shahzad Faisal

The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named…

257

Abstract

Purpose

The purpose of this research study is to extract and identify named entities from Hadith literature. Named entity recognition (NER) refers to the identification of the named entities in a computer readable text having an annotation of categorization tags for information extraction. NER is an active research area in information management and information retrieval systems. NER serves as a baseline for machines to understand the context of a given content and helps in knowledge extraction. Although NER is considered as a solved task in major languages such as English, in languages such as Urdu, NER is still a challenging task. Moreover, NER depends on the language and domain of study; thus, it is gaining the attention of researchers in different domains.

Design/methodology/approach

This paper proposes a knowledge extraction framework using finite-state transducers (FSTs) – KEFST – to extract the named entities. KEFST consists of five steps: content extraction, tokenization, part of speech tagging, multi-word detection and NER. An extensive empirical analysis using the data corpus of Urdu translation of Sahih Al-Bukhari, a widely known hadith book, reveals that the proposed method effectively recognizes the entities to obtain better results.

Findings

The significant performance in terms of f-measure, precision and recall validates that the proposed model outperforms the existing methods for NER in the relevant literature.

Originality/value

This research is novel in this regard that no previous work is proposed in the Urdu language to extract named entities using FSTs and no previous work is proposed for Urdu hadith data NER.

Details

The Electronic Library , vol. 37 no. 2
Type: Research Article
ISSN: 0264-0473

Keywords

Available. Content available
Article
Publication date: 12 January 2010

32

Abstract

Details

Pigment & Resin Technology, vol. 39 no. 1
Type: Research Article
ISSN: 0369-9420

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