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Article
Publication date: 10 October 2008

Kenneth D. Strang

The purpose of this paper is to inform international student study strategies as well as course design and instructional approach.

Abstract

Purpose

The purpose of this paper is to inform international student study strategies as well as course design and instructional approach.

Design/methodology/approach

Multiple research methods are applied, starting with exploratory data analysis, principal component analysis, confirmatory ordinal factor analysis, then recursive regression.

Findings

The meta‐cognitive impacts of international learning styles on academic performance over two courses are proven.

Research limitations/implications

The learning styles of multicultural university students are assessed using an online a priori instrument to determine predictive impact on academic performance across different courses.

Practical implications

The implications of the dendrogram models are briefly explained with respect to student counselling, student study strategies and teaching approaches. The findings are discussed with respect to rival learning style theories and to appease criticisms of meta‐analysis reviews.

Originality/value

Several statistically significant models were created including varimax and promax rotation solutions from ordinal factor analysis, as well as item response and latent factor dendrograms from recursive regression.

Details

Multicultural Education & Technology Journal, vol. 2 no. 4
Type: Research Article
ISSN: 1750-497X

Keywords

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Article
Publication date: 17 October 2017

Xiling Yao, Seung Ki Moon and Guijun Bi

This paper aims to present a hybrid machine learning algorithm for additive manufacturing (AM) design feature recommendation during the conceptual design phase.

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Abstract

Purpose

This paper aims to present a hybrid machine learning algorithm for additive manufacturing (AM) design feature recommendation during the conceptual design phase.

Design/methodology/approach

In the proposed hybrid machine learning algorithm, hierarchical clustering is performed on coded AM design features and target components, resulting in a dendrogram. Existing industrial application examples are used to train a supervised classifier that determines the final sub-cluster within the dendrogram containing the recommended AM design features.

Findings

Through a case study of designing additive manufactured R/C car components, the proposed hybrid machine learning method was proven useful in providing feasible conceptual design solutions for inexperienced designers by recommending appropriate AM design features.

Originality/value

The proposed method helps inexperienced designers who are newly exposed to AM capabilities explore and utilize AM design knowledge computationally.

Details

Rapid Prototyping Journal, vol. 23 no. 6
Type: Research Article
ISSN: 1355-2546

Keywords

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Article
Publication date: 5 October 2012

Chunjuan Luan and Xiuping Wang

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize…

Abstract

Purpose

The purpose of this paper is to help China's science and technology (abbr. as S&T) managers and related policy makers to allocate S&T human resources, optimize organizational systems of laboratories, design and plan some grant projects, and manage other S&T‐related work in the field of nanoscience and nanotechnology, by measuring and mapping of technology‐fields correlation, with nanotechnology as an example.

Design/methodology/approach

Methodologies such as co‐occurrence analysis, correlation analysis, multidimensional scaling (abbr. as MDS) analysis, dendrogram (tree‐like) analysis, etc. are employed to measure and map technology‐fields correlation.

Findings

It is found that the exact relevance degree of any two technology‐fields exists among the top 33 technology‐fields with high frequencies. There are three industrial clusters in Multidimentional Scaling View, that is, nanotechnology used in bio‐medical industry, nanotechnology used in new material industry and nanotechnology used in electronic industry. Hierarchy of any two technology‐fields can be found out in the dendrogram view of the top 33 technology‐fields.

Originality/value

This paper could be of great significance to China's S&T managers and related policy makers, especially in the area of nanotechnology, in selecting and managing generic technology and the findings in this paper can be applied in some other fields of science and technology management in China. Both technology‐fields correlation analysis and MDS and dendrogram view analysis could benefit China's policy makers in managing nanotechnology research and development activities.

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Abstract

Details

The Efficiency of Mutual Fund Families
Type: Book
ISBN: 978-1-78743-799-9

Content available
Book part
Publication date: 19 April 2018

Carlos Sánchez-González

Abstract

Details

The Efficiency of Mutual Fund Families
Type: Book
ISBN: 978-1-78743-799-9

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Article
Publication date: 22 August 2008

Fabrice Coutier and Giovanni Sebastiani

This purpose of this paper is to describe a fast and easy method of both clustering samples and identifying active genes in cDNA microarray data.

Abstract

Purpose

This purpose of this paper is to describe a fast and easy method of both clustering samples and identifying active genes in cDNA microarray data.

Design/methodology/approach

The method relies on alternation of identification of the active genes using a mixture model and clustering of the samples based on Ward hierarchical clustering. The initial‐point of the procedure is obtained by means of a χ2 test. The method attempts to locally minimize the sum of the within cluster sample variances under a suitable Gaussian assumption on the distribution of data.

Findings

This paper illustrates the proposed methodology and its success by means of results from both simulated and real cDNA microarray data. The comparison of the results with those from a related known method demonstrates the superiority of the proposed approach.

Research limitations/implications

Only empirical evidence of algorithm convergence is provided. Theoretical proof of algorithm convergence is an open issue.

Practical implications

The proposed methodology can be applied to perform cDNA microarray data analysis.

Originality/value

This paper provides a contribution to the development of successful statistical methods for cDNA microarray data analysis.

Details

International Journal of Intelligent Computing and Cybernetics, vol. 1 no. 3
Type: Research Article
ISSN: 1756-378X

Keywords

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Article
Publication date: 1 March 1984

ALAN GRIFFITHS, LESLEY A. ROBINSON and PETER WILLETT

This paper considers the classifications produced by application of the single linkage, complete linkage, group average and Ward clustering methods to the Keen and…

Abstract

This paper considers the classifications produced by application of the single linkage, complete linkage, group average and Ward clustering methods to the Keen and Cranfield document test collections. Experiments were carried out to study the structure of the hierarchies produced by the different methods, the extent to which the methods distort the input similarity matrices during the generation of a classification, and the retrieval effectiveness obtainable in cluster based retrieval. The results would suggest that the single linkage method, which has been used extensively in previous work on document clustering, is not the most effective procedure of those tested, although it should be emphasized that the experiments have used only small document test collections.

Details

Journal of Documentation, vol. 40 no. 3
Type: Research Article
ISSN: 0022-0418

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Article
Publication date: 30 December 2019

Vennan Sibanda, Khumbulani Mpofu, John Trimble and Mufaro Kanganga

Reconfigurable machines tools (RMTs) are gaining momentum as the new solutions to customised products in the manufacturing world. The driving force, among others, behind…

Abstract

Purpose

Reconfigurable machines tools (RMTs) are gaining momentum as the new solutions to customised products in the manufacturing world. The driving force, among others, behind these machines is the part envelope and the part family of products that they can produce. The purpose of this paper is to propose a new class of RMT known as a reconfigurable guillotine shear and bending press machine (RGS&BPM). A part family of products that this machine can produce is developed using hierarchical clustering methodologies. The development of these part families is guided by the relationship of the parts in the family in terms of complexity and geometry.

Design/methodology/approach

Part families cannot be developed in isolation, but that process has to incorporate the machine modules used in the reconfiguration process for producing the parts. Literature was reviewed, and group technology principles explored, to develop a concept that can be used to develop the part families. Matrices were manipulated to generate part families, and this resulted in the development of a dendrogram of six possible part families. A software with a graphic user interface for manipulation was also developed to help generate part families and machine modules. The developed concept will assist in the development of a machine by first developing the part family of products and machine modules required in the variable production process.

Findings

The developed concepts assist in the development of a machine by first developing the part family of products and machine modules required in the variable production process. The development of part families for the RGS&BPM is key to developing the machine work envelope and modules to carry out the work. This work has been presented to demonstrate the importance of machine development in conjunction with a part family of products that the machine will produce. The paper develops an approach to manufacturing where part families of products are developed prior to developing the machine. The families of products are then used to develop modules that enable the manufacture of the parts and subsequently the size of the machine.

Research limitations/implications

The research was limited to the development of part families for a new RGS&BPM, which is still under development.

Practical implications

The study reflects the development of reconfigurable machines as a solution to manufacturing challenges in terms of group technology approaches adopted in the design phase. It also highlights the significance of the concepts in the reconfigurable machine tool design. The part families define the machine work envelop and its reconfiguration capability.

Social implications

The success of the research will usher an alternative to smaller players in sheet metal work. It will contribute to the easy development of the machine that will bridge the high cost of machine tools.

Originality/value

The study contributes to the new approach in sheet metal manufacturing where dedicated machines may be substituted by a highly flexible reconfigurable machine that has a dual operation, making the investment for small to medium enterprises affordable. It also contributes to the body of knowledge in reconfigurable machine development and the framework for such activities, especially in developing countries.

Details

Journal of Engineering, Design and Technology , vol. 18 no. 5
Type: Research Article
ISSN: 1726-0531

Keywords

Abstract

Details

The Efficiency of Mutual Fund Families
Type: Book
ISBN: 978-1-78743-799-9

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Article
Publication date: 12 September 2016

Aasif Shah, Malabika Deo and Wayne King

The purpose of this paper is to derive crucial insights from multi-scale analysis to detect equity return co-movements between Korean and emerging Asian markets.

Abstract

Purpose

The purpose of this paper is to derive crucial insights from multi-scale analysis to detect equity return co-movements between Korean and emerging Asian markets.

Design/methodology/approach

Wavelet correlation, wavelet coherence and wavelet clustering measures are used to uncover Korean equity market interactions which are hard to see using any other modern econometric method and which would otherwise had remained hidden.

Findings

The authors observed that Korean equity market is strongly integrated with Asian equity markets at lower frequency scales and has a relatively weak correlation at higher frequencies. Further this correlation eventually grows strong in the interim of crises period at lower frequency scales. The authors, however, do not found any significant deviation in dendrograms generated in data clustering process from wavelet scale 2 to 6 which are associated with four and 64 weeks period, respectively. Overall the findings are relevant and have strong policy and practical implications.

Originality/value

The unique contribution of this paper is that it introduces wavelet clustering analysis to produce a nested hierarchy of similar markets at each frequency level for the first time in finance literature

Details

Journal of Economic Studies, vol. 43 no. 4
Type: Research Article
ISSN: 0144-3585

Keywords

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