Search results

This paper proposes a model of word memory based on an interconnected network of simple neuron‐like computational cells. Major features of the model are the ease of implementation using currently available hardware, and the fact that the principles underlying its operation may be extended to a comprehensive information processing system based on a hierarchy of such networks. The concepts of distributed data storage, the establishing of logical relations between stored items, and the construction of an integrated data structure are characterised in terms of the patterns of activity of the network.

In the paper the problem of designing a pattern recognition system for processing incomplete pattern vectors is considered. An efficient method of integrating the small core probability density function (p.d.f.) estimator employing Gaussian kernels with general parameter matrices has been proposed. As a result these general kernels satisfy the basic requirements of integrability and, therefore, they can be used in p.d.f. estimators for classification systems processing incomplete pattern vectors. In comparison with the Gaussian kernel having a diagonal parameter matrix, the general kernel is better suited for reconstructing multivariate p.d.f. of pattern vectors with correlated components. Also determination of the optimal parameters of the general kernel is much simpler for the use of the computationally demanding maximum likelihood parameter estimation method can be obviated.

Outlines the development of a sensor‐quipped robot system using knowledge‐based information processing techniques. The prototype application concerns the removal of the lateral pin bones from fish fillets by means of waterjet cutting, guided by a gantry robot. Describes the sensor system and how it gathers information about each individual fish, and the knowledge‐based control system which based on it’s a priori knowledge of fillet characteristics, determines the cutting co‐ordinates of the proposed cutting path. Gives trial results and concludes that the system is a practical solution for the processing of naturally varying products.

This paper describes the development of a novel automated vision system used to detect the visual defects on painted slates.

The vision system that has been developed consists of two major components covering the opto‐mechanical and algorithmical aspects of the system. The first component addresses issues including the mechanical implementation and interfacing the inspection system with the development of a fast image processing procedure able to identify visual defects present on the slate surface.

The inspection system was developed on 400 slates to determine the threshold settings that give the best trade‐off between no false positive triggers and correct defect identification. The developed system was tested on more than 300 fresh slates and the success rate for correct identification of acceptable and defective slates was 99.32 per cent for defect free slates based on 148 samples and 96.91 per cent for defective slates based on 162 samples.

The experimental data indicates that automating the inspection of painted slates can be achieved and installation in a factory is a realistic target. Testing the devised inspection system in a factory‐type environment was an important part of the development process as this enabled us to develop the mechanical system and the image processing algorithm able to perform slate inspection in an industrial environment. The overall performance of the system indicates that the proposed solution can be considered as a replacement for the existing manual inspection system.

The development of a real‐time automated system for inspecting painted slates proved to be a difficult task since the slate surface is dark coloured, glossy, has depth profile non‐uniformities and is being transported at high speeds on a conveyor. In order to address these issues, the system described in this paper proposed a number of novel solutions including the illumination set‐up and the development of multi‐component image‐processing inspection algorithm.

The purpose of this study was to investigate the perceptions of business students in India toward business managers (not self-employed) and entrepreneurs.

Students’ perceptions of the ethical behaviors of business managers and entrepreneurs were measured using the Bucar and Hisrich (2001) model. The scale comprises 20 behavioral descriptors, and the students were asked to indicate the degree to which they believed entrepreneurs and business managers would consider these actions as ethical.

Responses to general items of ethical behavior demonstrated a difference in the perception of Indian students between business managers and entrepreneurs.

This study contributes to the field of entrepreneurship in two ways. One involves the results of the hypothesis testing presented herein to evaluate the perceptions of business students in India toward entrepreneurs and business managers. The second contribution is comparing these results to that of a similar study using a US sample (Batchelor et al., 2011) to compare the differences in perceptions toward entrepreneurs and business managers across these two nations.

This paper provides a review of commercially available lighting systems for industrial inspection applications, including the underlying technology and optical behaviour.

Although the proliferation of research in emotional intelligence (EI) in the last 25 years has largely focused on the individual level, some researchers have proposed theories and measurement models for EI at the organizational level. Drawing from earlier work which conceptualizes organizational emotional intelligence (OEI) as a climate-level construct involving shared norms and practices this chapter sets out to investigate the relationship between perceptions of organizational emotional intelligence (OEI) and turnover intentions amongst employees. Since turnover intentions are a reliable indicator of actual turnover they are deemed to be a critical indicator for organizational performance. This chapter also builds on previous research which found that the relationship between OEI as a climate-level construct and intention to leave was mediated by organizational emotional appeal (i.e., overall reputation) and trust in senior management to explore the mediating role of other employee attitudes which have been traditionally linked to climate and individual-level outcomes in organizations, namely job satisfaction and affective commitment. By surveying employees in a UK-based charity organization (n = 173), the study finds that both job satisfaction and affective commitment mediate the impact of OEI on intention to leave and explain a moderate amount of variance in the focal construct. However, the majority of the mediation occurs through job satisfaction with a reduced mediation effect for affective commitment. Potential reasons for these results in the charity context are discussed. The chapter contributes to a wider understanding of the way in which perceptions of OEI impact on employee attitudes toward the organization and the job; and, in turn, how these attitudes impact on turnover intentions.

The laws directed against adulteration and fraudulent or unfair dealing have undoubtedly done much good wherever they have been enforced. Their application in this and in other countries has shown how widespread are these practices and how various are their forms, while the punishment of real offenders, in the by no means large proportion of cases where it has been possible to bring forward sufficient proof of guilt, has certainly not been displeasing to the general public, and must have afforded particular satisfaction to those members of the trading community who have appreciated the injury done to them by unfair or actually dishonest competition.

As the companion paper of Part I, this paper aims to get more insight into the essence of lambda and to reveal its nature and role in the transition of lubrication states. Mixed lubrication (ML) model with micro-asperities contacts has been discussed in details in Part I.

Mimetic algorithm is used to get numerical solutions. Relationships between film thickness ratios and lubrication states transition with different external loads, rotating speeds, radial clearances, elastic modulus, surface hardness and roughness parameters are obtained.

The characteristic parameters of transitions from boundary lubrication (BL) to ML and ML to hydrodynamic lubrication (HL) are studied to determine how these parameters change with above factors. Finally, the essence and major influencing factors of lambda are summarized for such bearings.

In Part II, the authors believe that the paper presents for the first time: further insight into the essence of the lambda ratio, and its role in the lubrication states transition are given; the determinations of the characteristic parameters of transition from BL to ML and ML to HL are investigated for the first time; the characteristic parameters of transitions from BL to ML and ML to HL are also studied to determine how parameters (external load, rotating speed, radial clearance, elastic modulus, surface hardness and roughness parameter) change with above factors; a summary of the essence and major influencing factors of lambda for such bearings is given.