Deriving artefact-centric interfaces for overloaded web services

We present a novel framework and algorithms for the analysis of Web service interfaces to improve the efficiency of application integration in wide-spanning business networks. Our approach addresses the notorious issue of large and overloaded operational signatures, which are becoming increasingly prevalent on the Internet and being opened up for third-party service aggregation. Extending upon existing techniques used to refactor service interfaces based on derived artefacts of applications, namely business entities, we propose heuristics for deriving relations between business entities, and in turn, deriving permissible orders in which operations are invoked. As a result, service operations are refactored on business entity CRUD which then leads to behavioural protocols generated, thus supportive of fine-grained and flexible service discovery, composition and interaction. A prototypical implementation and analysis of web services, including those of commercial logistic systems (Fedex), are used to validate the algorithms and open up further insights into service interface synthesis.

Preparing pharmacists to vaccinate in Australia’s first Pharmacist Immunisation Pilot

Background: In November 2013, the Queensland Department of Health announced its intention to pilot pharmacist vaccination for influenza in the 2014 flu season. The Pharmaceutical Society of Australia Queensland Branch was tasked with developing a training program for the pilot. Aim: The aim was to develop, implement and evaluate a training program for pharmacist vaccination relevant to the needs of Australian pharmacists. Method: Background content was delivered via two online modules, while training for practical injection skills and anaphylaxis management were provided in a face-to-face workshop. Participants were required to complete the Australasian Society of Clinical Immunology and Allergy (ASCIA) anaphylaxis e-training for pharmacists, and hold a current First-Aid and CPR certificate. On completion of the course, pharmacists were asked to evaluate the training program. Results: Overall, 157 pharmacists across Queensland completed the training. Participants rated the training highly on a 5-point Likert scale (>4.4 for all fields) for relevance to practice, comfort with the skill, confidence to do the task and relevance of the learning objectives to the training. Qualitative feedback indicated that a key component of the training was the ability to practice injections on each other. Conclusion: The findings demonstrate participants felt prepared for vaccination following completion of the training program, as reflected in the high level of confidence reported. A follow-up post-pilot will explore if this confidence was translated into practice during the implementation phase.

Autonomous UAVs wildlife detection using thermal imaging, predictive navigation and computer vision

There is an increased interest on the use of Unmanned Aerial Vehicles (UAVs) for wildlife and feral animal monitoring around the world. This paper describes a novel system which uses a predictive dynamic application that places the UAV ahead of a user, with a low cost thermal camera, a small onboard computer that identifies heat signatures of a target animal from a predetermined altitude and transmits that target’s GPS coordinates. A map is generated and various data sets and graphs are displayed using a GUI designed for easy use. The paper describes the hardware and software architecture and the probabilistic model for downward facing camera for the detection of an animal. Behavioral dynamics of target movement for the design of a Kalman filter and Markov model based prediction algorithm are used to place the UAV ahead of the user. Geometrical concepts and Haversine formula are applied to the maximum likelihood case in order to make a prediction regarding a future state of the user, thus delivering a new way point for autonomous navigation. Results show that the system is capable of autonomously locating animals from a predetermined height and generate a map showing the location of the animals ahead of the user.

Efficient content-based image retrieval based on multi-feature fusion

The increased availability of image capturing devices has enabled collections of digital images to rapidly expand in both size and diversity. This has created a constantly growing need for efficient and effective image browsing, searching, and retrieval tools. Pseudo-relevance feedback (PRF) has proven to be an effective mechanism for improving retrieval accuracy. An original, simple yet effective rank-based PRF mechanism (RB-PRF) that takes into account the initial rank order of each image to improve retrieval accuracy is proposed. This RB-PRF mechanism innovates by making use of binary image signatures to improve retrieval precision by promoting images similar to highly ranked images and demoting images similar to lower ranked images. Empirical evaluations based on standard benchmarks, namely Wang, Oliva & Torralba, and Corel datasets demonstrate the effectiveness of the proposed RB-PRF mechanism in image retrieval.

Busy auditors, ethical behavior, and discretionary accruals quality in Malaysia

The required professional and ethical pronouncements of accountants mean that auditors need to be competent and exercise due care and skill in the performance of their audits. In this study, we examine what happens when auditors take on more clients than they should, thus raising doubts about their ability to maintain competence and audit quality. Using 2803 observations of Malaysian companies from 2010 to 2013, we find that auditors with multiple clients are associated with lower earnings quality, proxied by total accruals and discretionary accruals. Our results demonstrate that associating client firms’ reported discretionary accruals with individual auditors, rather than their firms or offices, is important in determining audit quality. Moreover, we demonstrate that the disclosure of auditors’ signatures on their reports is useful for assessing auditor quality at the individual level, thus contributing to the debate on the usefulness of having auditor identities on reports.