Interpreting the public interest : A survey of professional accountants

The accounting profession, like all professions, has a commitment to advance the interests of the general community, as well as those they are contractually bound to serve. Providing services altruistically, at times without compensation, is a salient feature of the public interest ideal. A review of the literature indicates that the profession has abandoned its public interest role so that serving self-interest now appears to have primacy ( Bédard 2001 ; Canning and O'Dwyer 2001 ; Parker 1994 ; Saravanamuthu 2004 ). The aim of this paper is to examine members' interpretation of the public interest ideal and to elicit their perceptions on issues arising from the literature. The results of a survey to members of CPA Australia indicate that members can iterate the formal definition of the public interest, but their application of the public interest in conflict of interest situations is inconsistent with this definition.

Reflections on the public interest in accounting

The expression, ‘the public interest’ is so ingrained in policy development, that reforms in accounting are often championed under the notion that such developments will enhance the well-being of the community. While the public interest is well understood at policy level, at operating level the expression is ambiguous and has a multiplicity of interpretations. Current conceptions of the public interest are inadequate to define a principle which must stand as a measure of public policy. Who exactly is the public, what are the interests of the public, and what does it mean to serve the public interest? Consequently, members of the accounting profession are expected to comply with a principle that is vague and ambiguous. This paper undertakes a critical analysis of the public interest in accounting relying on a typology of public interest theories (normative, consensualist, process, and abolitionist theories) developed by Cochran [Cochran CE. Political science and “the public interest”. The Journal of Politics 1974;36(2):327–55]. The analysis indicates that existing knowledge and understanding of the public interest, is in part, consistent with some aspects of the Cochran’s [Cochran CE. Political science and “the public interest”. The Journal of Politics 1974;36(2):327–55] typology of public interest theories and inconsistent in others. The analysis also indicates that there is room for the profession to provide further guidance on the meaning of the public interest and how to apply it in practice.

A new monotonicity index for fuzzy rule-based systems

A search in the literature reveals that mathematical conditions (usually sufficient conditions) for the Fuzzy Inference System (FIS) models to satisfy the monotonicity property have been developed. A monotonically-ordered fuzzy rule base is important to maintain the monotonicity property of an FIS. However, it may difficult to obtain a monotonically-ordered fuzzy rule base in practice. We have previously introduced the idea of fuzzy rule relabeling to tackle this problem. In this paper, we further propose a monotonicity index for the FIS system, which serves as a metric to indicate the degree of a fuzzy rule base fulfilling the monotonicity property. The index is useful to provide an indication whether a fuzzy rule base should (or should not) be used in practice, even with fuzzy rule relabeling. To illustrate the idea, the zero-order Sugeno FIS model is exemplified. We add noise as errors into the fuzzy rule base to formulate a set of non-monotone fuzzy rules. As such, the metric also acts as a measure of noise in the fuzzy rule base. The results show that the proposed metric is useful to indicate the degree of a fuzzy rule base fulfilling the monotonicity property.

Providing fairer resource allocation for multi-tenant cloud-based systems

A fundamental premise in cloud computing is trying to provide a more sophisticated computing resource sharing capability. In order to provide better allocation, the Dominant Resource Fairness (DRF) approach has been developed to address the "fair resource allocation problem" at the application layer for multi-tenant cloud applications. Nevertheless conventional DRF only considers the interplay of CPU and memory, which may result in over allocation of resources to one tenant's application to the detriment of others. In this paper, we propose an improved DRF algorithm with 3-dimensional demand vector to support disk resources as the third dominant shared resource, enhancing fairer resource sharing. Our technique is integrated with LINUX 'group' controls resource utilisation and realises data isolation to avoid undesirable interactions between co-located tasks. Our method ensures all tenants receive system resources fairly, which improves overall utilisation and throughput as well as reducing traffic in an over-crowded system. We evaluate the performance of different types of workload using different algorithms and compare ours to the default algorithm. Results show an increase of 15% resource utilisation and a reduction of 59% completion time on average, indicating that our DRF algorithm provides a better, smoother, fairer high-performance resource allocation scheme for both continuous workloads and batch jobs.

Keyword search for building service-based systems

With the fast growth of applications of service-oriented architecture (SOA) in software engineering, there has been a rapid increase in demand for building service-based systems (SBSs) by composing existing Web services. Finding appropriate component services to compose is a key step in the SBS engineering process. Existing approaches require that system engineers have detailed knowledge of SOA techniques which is often too demanding. To address this issue, we propose KS3 (Keyword Search for Service-based Systems), a novel approach that integrates and automates the system planning, service discovery and service selection operations for building SBSs based on keyword search. KS3 assists system engineers without detailed knowledge of SOA techniques in searching for component services to build SBSs by typing a few keywords that represent the tasks of the SBSs with quality constraints and optimisation goals for system quality, e.g., reliability, throughput and cost. KS3 offers a new paradigm for SBS engineering that can significantly save the time and effort during the system engineering process. We conducted large-scale experiments using a real-world Web service dataset to demonstrate the practicality, effectiveness and efficiency of KS3.

Sport/cultural events : public and private perceptions of the hybrid event

This paper explores the public and private perceptions of events that amalgamate two different themes into one unified event. In this paper, we refer to this as a hybrid event. The paper is set within the context of Melbourne, Australia, where two hybrid events (specifically a sport/culture event) were delivered in 2006 and 2007. Media reports about the 2007 event were analyzed to capture the public perception of the sport/cultural event, and focus group data, collected from attendees of the events, were analyzed to explore the private perceptions of the hybrid event. The results indicate that there are a range of views about the sport/cultural event, which are not always consistent. The findings of this study indicate that the hybrid event has the capacity to wade through a cluttered marketplace, but that it does require strong branding to position itself in the marketplace for competitive advantage.

Performance of suspended and attached growth MBR systems in treating high strength synthetic wastewater

The performance of laboratory-scale attached growth (AG) and suspended growth (SG) membrane bioreactors (MBRs) was evaluated in treating synthetic wastewater simulating high strength domestic wastewater. This study investigated the influence of sponge suspended carriers in AG-MBR system, occupying 15% reactor volume, on the removal of chemical oxygen demand (COD), total nitrogen (TN) and total phosphorus (TP), and compared it to that of SG-MBR. Results showed that the removal efficiencies of COD, TN and TP in AG-MBR were 98%, 89% and 58%, respectively as compared to 98%, 74% and 38%, respectively in SG-MBR. Improved TN removal in AG-MBR systems was primarily based on simultaneous nitrification and denitrification (SND) process. These results infer that the presence of small bio-particles having higher microbial activity and the growth of complex biomass captured within the suspended sponge carriers resulted in improved TN and TP removal in AG-MBR.

A generic framework for three-factor authentication : preserving security and privacy in distributed systems

As part of the security within distributed systems, various services and resources need protection from unauthorized use. Remote authentication is the most commonly used method to determine the identity of a remote client. This paper investigates a systematic approach for authenticating clients by three factors, namely password, smart card, and biometrics. A generic and secure framework is proposed to upgrade two-factor authentication to three-factor authentication. The conversion not only significantly improves the information assurance at low cost but also protects client privacy in distributed systems. In addition, our framework retains several practice-friendly properties of the underlying two-factor authentication, which we believe is of independent interest.

A-REIT bidder returns : an evaluation of public and private targets and method of payment

This study examines the wealth effects of fifty-six Australian Real Estate Investment Trusts (A-REITS) acquirers around the announcement date of a merger and acquisition over the period of 1996 to 2010. This study extends Ratcliffe et al (2009) by examining mergers and acquisitions of private entity targets as well as public targets and confirms recent US REIT work in this field. Utilising event study methodology we find that bidding A-REITs earn positive and significant cumulative abnormal returns (CARs) of +0.966% around the three-day announcement period [-1, +1]. Analysis also indicates bidding firms earn higher CARs when the acquisition is financed by scrip and/or a combination of scrip and cash. Consistent with prior REIT research, event study results show that A-REIT acquirers earn higher excess returns when the target is private as compared to a public target, +2.834% and +0.457% respectively. Further investigation, employing regression analysis, shows book-to-market ratio has a negative impact on bidding firms CARs, suggesting that investors penalise high book-to-market A-REITs in an M&A due to their higher risk characteristics. We also find that both specialisation by property type and relative size of the bidder compared to the target has a positive and significant influence on bidder excess returns. Finally, our results show support for the method of payment findings in the event study, with method of payment returning a negative and significant impact on the bidder CARs.

Malware detection and prevention in RFID systems

The threat that malware poses to RFID systems was identified only recently. Fortunately, all currently known RFID malware is based on SQLIA. Therefore, in this chapter we propose a dual pronged, tag based SQLIA detection and prevention method optimized for RFID systems. The first technique is a SQL query matching approach that uses simple string comparisons and provides strong security against a majority of the SQLIA types possible on RFID systems. To provide security against second order SQLIA, which is a major gap in the current literature, we also propose a tag data validation and sanitization technique. The preliminary evaluation of our query matching technique is very promising, showing 100% detection rates and 0% false positives for all attacks other than second order injection.