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Article
Publication date: 21 May 2018

Dongmei Han, Wen Wang, Suyuan Luo, Weiguo Fan and Songxin Wang

This paper aims to apply vector space model (VSM)-PCR model to compute the similarity of Fault zone ontology semantics, which verified the feasibility and effectiveness of the…

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Abstract

Purpose

This paper aims to apply vector space model (VSM)-PCR model to compute the similarity of Fault zone ontology semantics, which verified the feasibility and effectiveness of the application of VSM-PCR method in uncertainty mapping of ontologies.

Design/methodology/approach

The authors first define the concept of uncertainty ontology and then propose the method of ontology mapping. The proposed method fully considers the properties of ontology in measuring the similarity of concept. It expands the single VSM of concept meaning or instance set to the “meaning, properties, instance” three-dimensional VSM and uses membership degree or correlation to express the level of uncertainty.

Findings

It provides a relatively better accuracy which verified the feasibility and effectiveness of VSM-PCR method in treating the uncertainty mapping of ontology.

Research limitations/implications

The future work will focus on exploring the similarity measure and combinational methods in every dimension.

Originality/value

This paper presents an uncertain mapping method of ontology concept based on three-dimensional combination weighted VSM, namely, VSM-PCR. It expands the single VSM of concept meaning or instance set to the “meaning, properties, instance” three-dimensional VSM. The model uses membership degree or correlation which is used to express the degree of uncertainty; as a result, a three-dimensional VSM is obtained. The authors finally provide an example to verify the feasibility and effectiveness of VSM-PCR method in treating the uncertainty mapping of ontology.

Details

Information Discovery and Delivery, vol. 46 no. 2
Type: Research Article
ISSN: 2398-6247

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Article
Publication date: 20 April 2015

Shi Zhang, Yun Zhang, Songxin Shi, Zhigao Huang and Huamin Zhou

– The purpose of this paper is to propose a new surface model combining the eccentric shell with multi-point constraint (MPC) for warpage prediction of injection molded plastics.

209

Abstract

Purpose

The purpose of this paper is to propose a new surface model combining the eccentric shell with multi-point constraint (MPC) for warpage prediction of injection molded plastics.

Design/methodology/approach

In this paper, three benchmark tests and a practical example are implemented to evaluate the performance of the new surface model and existing models.

Findings

The results demonstrate that the proposed model could give satisfactory solutions and has advantages over the existing models.

Practical implications

More precisely predicted warpage field for injection molded plastics can be achieved with the purposed model, such as that in the practical case.

Originality/value

The surface models are efficient and still popular for practical injection molding analysis. However, the existing models for warpage prediction cannot properly represent the true strain energy and obey material continuity assumption, and also they have not been assessed rigorously by benchmark tests. To overcome above-mentioned difficulty, a new surface model is proposed, which employs the eccentric shell without shear factor and MPC equation that ensuring material continuity. The results from experiment illustrate that the new model is superior to existing models.

Details

Engineering Computations, vol. 32 no. 2
Type: Research Article
ISSN: 0264-4401

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