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The purpose of this paper is to improve the retrieval results of hyperspectral image by integrating both spectral and textural features. For this purpose, an improved multiscale opponent representation for hyperspectral texture is proposed to represent the spatial information of the hyperspectral scene.

In the presented approach, end-member signatures are extracted as spectral features by means of the widely used end-member induction algorithm N-FINDR, and the improved multiscale opponent representation is extracted from the first three principal components of the hyperspectral data based on Gabor filters. Then, the combination similarity between query image and other images in the database is calculated, and the first k more similar images are returned in descending order of the combination similarity.

Some experiments are calculated using the airborne hyperspectral data of Washington DC Mall. According to the experimental results, the proposed method improves the retrieval results, especially for image categories that have regular textural structures.

The paper presents an effective retrieval method for hyperspectral images.

This chapter presents the outcome of an empirical study titled ‘Knowledge Sharing and Transfer (KST) that Really Works: An exploration of KST in Sub-Saharan South African Public Sector Institutions’. Enablers of KST were explored through the lens of lived experiences of managers working at Gautrain Management Agency (GMA), a rail transport public sector operator in South Africa. Qualitative data were collected from 15 managers and analysed using Thematic and Trans Positional Cognition Approach (TPCA) qualitative analytical tools. Four themes, essential originating antecedent factors, complementary people enabling factors, organisational enabling factors and effective KST implementing factors emerged. Rahman’s KST model was adopted as a theoretical framework and used to better understand the study findings. The current study affirms two elements within the theoretical framework, namely, complementary people enabling factors and organisational enabling factors, while the remaining two, essential originating antecedent factors and effective KST implementing factors, were not affirmed. This study contributes a new KST framework that helps business managers understand KST from the South African public sector practitioners’ perspectives, which represents this study’s contribution to the business performance measurement body of knowledge and practice.

The purpose of this paper is to review and provide a detailed performance evaluation of a number of texture descriptors that analyse texture at micro‐level such as local binary patterns (LBP) and a number of standard filtering techniques that sample the texture information using either a bank of isotropic filters or Gabor filters.

The experimental tests were conducted on standard databases where the classification results are obtained for single and multiple texture orientations. The authors also analysed the performance of standard filtering texture analysis techniques (such as those based of LM and MR8 filter banks) when applied to the classification of texture images contained in standard Outex and Brodatz databases.

The most important finding resulting from this study is that although the LBP/C and the multi‐channel Gabor filtering techniques approach texture analysis from a different theoretical perspective, in this paper the authors have experimentally demonstrated that they share some common properties in regard to the way they sample the macro and micro properties of the texture.

Texture is a fundamental property of digital images and the development of robust image descriptors plays a crucial role in the process of image segmentation and scene understanding.

This paper contrast, from a practical and theoretical standpoint, the LBP and representative multi‐channel texture analysis approaches and a substantial number of experimental results were provided to evaluate their performance when applied to standard texture databases.

Nowadays, most methods of illusion garment evaluation are based on the subjective evaluation of experienced practitioners, which consumes time and the results are too subjective to be accurate enough. It is necessary to explore a method that can quantify professional experience into objective indicators to evaluate the sensory comfort of the optical illusion skirt quickly and accurately. The purpose of this paper is to propose a method to objectively evaluate the sensory comfort of optical illusion skirt patterns by combining texture feature extraction and prediction model construction.

Firstly, 10 optical illusion sample skirts are produced, and 10 experimental images are collected for each sample skirt. Then a Likert five-level evaluation scale is designed to obtain the sensory comfort level of each skirt through the questionnaire survey. Synchronously, the coarseness, contrast, directionality, line-likeness, regularity and roughness of the sample image are calculated based on Tamura texture feature algorithm, and the mean, contrast and entropy are extracted of the image transformed by Gabor wavelet. Both are set as objective parameters. Two final indicators T1 and T2 are refined from the objective parameters previously obtained to construct the predictive model of the subjective comfort of the visual illusion skirt. The linear regression model and the MLP neural network model are constructed.

Results show that the accuracy of the linear regression model is 92%, and prediction accuracy of the MLP neural network model is 97.9%. It is feasible to use Tamura texture features, Gabor wavelet transform and MLP neural network methods to objectively predict the sensory comfort of visual illusion skirt images.

Compared with the existing uncertain and non-reproducible subjective evaluation of optical illusion clothing based on experienced experts. The main advantage of the authors' method is that this method can objectively obtain evaluation parameters, quickly and accurately obtain evaluation grades without repeated evaluation by experienced experts. It is a method of objectively quantifying the experience of experts.

“In the provision of terminology and apparatus to aid thought I do not think that Marshall did economists any greater service than by the explicit introduction of the idea of ‘elasticity’.”

Introduction This paper is a report on an experimental study of consumers' behaviour and on a new theory of choice between close substitutes which we developed from the indications of the results obtained. The theory is not in disharmony with the commonly accepted tenets of the fundamental analysis of demand but differs from the latter in so far as it involves only operational concepts.

This article has been withdrawn as it was published elsewhere and accidentally duplicated. The original article can be seen here: 10.1108/eb001112. When citing the article, please cite: P. Gabor, (1976), “Management Theory and Rational Decision Making”, Management Decision, Vol. 14 Iss: 5, pp. 274 - 281.

The emergence of diversity in organizations is typically traced to the 1960s when legislation was enacted in the USA to prohibit discrimination against ethnicity, gender, national origin, race, and religion. However, Peter Drucker found that workplace diversity had its origin in the aftermath of World War I. In response, this paper aims to address the historical evolution of workplace diversity through the lens of Drucker.

The paper traces the historical evolution of Drucker's perspective on workplace diversity and the circumstances that catapulted him to advocate for understanding and valuing diversity in organizations. Further, it uses passages from Peter Drucker's published accounts to illustrate his understanding of demographic trends and how these trends impacted the competitiveness of the organization and management of workplace diversity.

Drucker's early life experiences influenced him to become a tenacious advocate for workplace diversity. As a reflection of these experiences, Drucker's understanding of human resource management led him to implore his readers to use human resource practices to leverage the power of evolving demographic trends. Drucker later refined his prescriptions on workplace diversity by incorporating several assumptions from the strategic human resource management literature into his research.

Future workplace diversity research would benefit from evaluating Drucker's propositions on leveraging the power of demographic trends through human resource management practices.

This historical analysis of Drucker's vast body of research provides substantial insight into his practical arguments for understanding and valuing diversity in organizations. To the best of one's knowledge, organizational researchers and management historians have not extensively evaluated Drucker's contributions to the workplace diversity literature.

Published posthumously, presented in 1965 at the Wiener Memorial Meeting. Concerned with Norbert Wiener who, while rendering great services to engineering, always remained a pure mathematician. Considers that the principal achievement of Wiener is that he establishes the link between statistical phenomena and the arts of communication and control. Provides examples of Wiener’s method of treating random phenomena and considers it to be very characteristic of his approach to physical problems. Outlines much of Wiener’s works relating to communication and discusses what he believes to be even more important, his contribution to the art of communication. Looks at the relationship of Wiener’s work to Shannon’s, as it was then understood, and to their position in the whole vast field of information theory.

Recent studies indicate that in recent years customers' price awareness (involving both recall and sensitivity) has diminished, but it is still affected by direct means such as advertising, promotion and display, and also, at a deeper level, by socio‐economic factors. The weak product identification process in which a product's market trends, market performance and financial performance are considered by the manufacturing company are also outlined. The study of price awareness can offer important insights into the consumer buying process, and there is scope for a re‐examination of the effect of pricing in the current retail marketing scene.