Graphical authentication : an architectural design specification

Graphical authentication is proposed as an alternative to password, smartcard, and biometric authentication as it uses the innate ability of humans to recognise visual stimuli. Despite passionate debate surrounding their privacy and invasiveness issues, smartcards and biometrics require an excessive amount of extra hardware for widespread deployment. Conversely graphical authentication extends existing infrastructure as it builds largely on the foundations of passwords with one important difference: it takes humans into account as they are better at recognising visual stimuli than recalling text-based passwords. This paper follows a preceding proof of concept paper and essentially outlines the architectural and technical design for a graphical authentication solution.

Application of the fair-value concept : evidence from Australian legal decisions

The concept of "fair value" is increasingly being incorporated into Australian and international accounting standards and pronouncements. The fair-value concept has also been established and developed in Australian legal cases, and an examination of pertinent court decisions is of interest to accountants. By examining and analysing relevant cases, the paper highlights some of the principles and difficulties involved in operationalising the fair-value concept for accounting and legal purposes, particularly in situations where the asset being valued is subject to imperfect or incomplete markets.

Intra-organisational marketing culture and market orientation: a case study of the implementation of the marketing concept in a public library

The measurement of both marketing culture and behaviour provides the opportunity to gain more insight into the overall market focus of organisations. This article seeks to determine the market orientation and marketing culture of all staff within organisations, to ascertain to what extent other members of an organisation support or create barriers to the successful implementation of the marketing concept. This paper will provide a brief overview of the existing literature in the field of market orientation and marketing culture. After detailing the research design and methodology, a summary developed from 11 focus group sessions - consisting of all staff in one public library service in Victoria, Australia - is presented. The findings indicate that while all areas within this organisation are committed to marketing, there are various interpretations of marketing and how it should be implemented. In addition, the research finds a number of factors that could be instrumental in the successful implementation of the marketing concept in public libraries.

Combining extension matrix and integer programming for optimal concept learning

This paper proposes two integer programming models and their GA-based solutions for optimal concept learning. The models are built to obtain the optimal concept description in the form of propositional logic formulas from examples based on completeness, consistency and simplicity. The simplicity of the propositional rules is selected as the objective function of the integer programming models, and the completeness and consistency of the concept are used as the constraints. Considering the real-world problems that certain level of noise is contained in data set, the constraints in model 11 are slacked by adding slack-variables. To solve the integer programming models, genetic algorithm is employed to search the global solution space. We call our approach IP-AE. Its effectiveness is verified by comparing the experimental results with other well- known concept learning algorithms: AQ15 and C4.5.

Financial reporting for environmental and social responsibility: a normative strategic concept

Corporate responsibility demands that firms address environmental and social values in their firms' policy and key performance indicators. These are integrated through strategic planning and require firms to merge the long-term environmental and social values with short-term economic objectives and performance measures. Each firm's strategy will differ. This paper provides a normative reporting concept to connect the financial implications associated with long-term planning for environmental and social values, with short-term accounting reports. Reporting variants adapted from total cost assessment, life cycle costing and variable costing are integrated to offer upstream information based on a product segment view.

Hegemony of printed books in Australian tertiary education a concept under challenge

This paper is about challenges to the hegemony of printed books in Australian tertiary education and the potential demise of that hegemony. Not because the book in its traditional form is considered by some to be outdated and not because ofcompeting products that might put the use of the traditional book under threat - our Australian 'book-industry' might well rise to such challenges given that competitiveness is a driving feature of business. This paper is about challenges to the hegemony of printed books in tertiary education because of forces entirely outside the 'book-industry's' control.

The function of traditional printed books within tertiary education is changing. Education is a user-pays product, and competitive pressures ensure students are given greater voice in the types of learning resources provided, with the evolution of electronic and communication technologies allowing student learning resources to be made available in a myriad of ways. Thus a traditional printed book may be an inflexible tool in a dynamic environment.

Intra-organisational attitudes to marketing and the Implementation of the marketing concept in nonprofit organisations

This paper explores the market orientation and marketing culture of all staff within a nonprofit organisation to ascertain the extent to which members of the organisation support or create barriers to the implementation of the marketing concept. Of particular interest in this research is the role of nonprofit organisations, which are often thought of as having a production, rather than marketing focus. Consequently, there may be cultural and behavioural conflicts between, for example, marketing personnel and production personnel. This paper provides a brief overview of the existing literature in the field of market orientation and marketing culture. After detailing the general research design, a summary of the results of 11 initial focus groups, consisting of all staff in one nonprofit organisation, is presented. The findings indicate that while all areas within this organisation are committed to marketing, there are various interpretations of marketing and how it should be implemented.

Self-concept and motivation as predictors of actual consumer behaviour

The need to predict consumer behaviour outcomes is considered to be a very important issue for marketers. Isolated individual psychological constructs such as attitudes, motives, personality traits and learning styles have been used to identify their predictive capacity for actual consumer behaviour with varying degrees of success. This paper attempts to test
empirically the predictive power of two constructs, motivation and self-concept, regarding business consumer’s actions in a service context, using an Australian representative sample.

Concept learning of text documents

Concept learning of text documents can be viewed as the problem of acquiring the definition of a general category of documents. To definite the category of a text document, the Conjunctive of keywords is usually be used. These keywords should be fewer and comprehensible. A naïve method is enumerating all combinations of keywords to extract suitable ones. However, because of the enormous number of keyword combinations, it is impossible to extract the most relevant keywords to describe the categories of documents by enumerating all possible combinations of keywords. Many heuristic methods are proposed, such as GA-base, immune based algorithm. In this work, we introduce pruning power technique and propose a robust enumeration-based concept learning algorithm. Experimental results show that the rules produce by our approach has more comprehensible and simplicity than by other methods.

An objective function based on Bayesian likelihoods of necessity and sufficiency for concept learning in the absence of labeled counter-examples

Supervised machine learning techniques generally require that the training set on which learning is based contain sufficient examples representative of the target concept, as well as known counter-examples of the concept; however, in many application domains it is not possible to supply a set of labeled counter-examples. This paper proposes an objective function based on Bayesian likelihoods of necessity and sufficiency. This function can be used to guide search towards the discovery of a concept description given only a set of labeled positive examples of the target concept, and as a corpus of unlabeled examples. Results of experiments performed on several datasets from the VCI repository show that the technique achieves comparable accuracy to conventional supervised learning techniques, despite the fact that the latter require a set of labeled counter-examples to be supplied. The technique can be applied in many domains in which the provision of labeled counter-examples is problematic.