Sensor scheduling in electronic support using Markov chains

In electronic support, receivers must maintain surveillance over the very wide portion of the electromagnetic spectrum in which threat emitters operate. A common approach is to use a receiver with a relatively narrow bandwidth that sweeps its centre frequency over the threat bandwidth to search for emitters. The sequence and timing of changes in the centre frequency constitute a search strategy. The search can be expedited, if there is intelligence about the operational parameters of the emitters that are likely to be found. However, it can happen that the intelligence is deficient, untrustworthy or absent. In this case, what is the best search strategy to use? A random search strategy based on a continuous-time Markov chain (CTMC) is proposed. When the search is conducted for emitters with a periodic scan, it is shown that there is an optimal configuration for the CTMC. It is optimal in the sense that the expected time to intercept an emitter approaches linearity most quickly with respect to the emitter's scan period. A fast and smooth approach to linearity is important, as other strategies can exhibit considerable and abrupt variations in the intercept time as a function of scan period. In theory and numerical examples, the optimum CTMC strategy is compared with other strategies to demonstrate its superior properties.

The impact of computer display height and desk design on 3D posture during information technology work by young adults

Computer display height and desk design to allow forearm support are two critical design features of workstations for information technology tasks. However there is currently no 3D description of head and neck posture with different computer display heights and no direct comparison to paper based information technology tasks. There is also inconsistent evidence on the effect of forearm support on posture and no evidence on whether these features interact. This study compared the 3D head, neck and upper limb postures of 18 male and 18 female young adults whilst working with different display and desk design conditions. There was no substantial interaction between display height and desk design. Lower display heights increased head and neck flexion with more spinal asymmetry when working with paper. The curved desk, designed to provide forearm support, increased scapula elevation/protraction and shoulder flexion/abduction.

Consumer-identified barriers and strategies for optimizing technology use in the workplace

Purpose. This article explores the experiences of 26 assistive technology (AT) users having a range of physical impairments as they optimized their use of technology in the workplace. Method. A qualitative research design was employed using in-depth, open-ended interviews and observations of AT users in the workplace. Results. Participants identified many factors that limited their use of technology such as discomfort and pain, limited knowledge of the technology's features, and the complexity of the technology. The amount of time required for training, limited work time available for mastery, cost of training and limitations of the training provided, resulted in an over-reliance on trial and error and informal support networks and a sense of isolation. AT users enhanced their use of technology by addressing the ergonomics of the workstation and customizing the technology to address individual needs and strategies. Other key strategies included tailored training and learning support as well as opportunities to practice using the technology and explore its features away from work demands. Conclusions. This research identified structures important for effective AT use in the workplace which need to be put in place to ensure that AT users are able to master and optimize their use of technology.

The next generation messaging technology: Makes web services effective

The vision presented in this paper and its technical content are a result of close collaboration between several researchers from the University of Queensland, Australia and the SAP Corporate Research Center, Brisbane, Australia. In particular; Dr Wasim Sadiq (SAP), Dr Shazia Sadiq (UQ), and Dr Karsten Schultz (SAP) are the prime contributors to the ideas presented. Also, PhD students Mr Dat Ma Cao and Ms Belinda Carter are involved in the research program. Additionally, the Australian Research Council Discovery Project Scheme and Australian Research Council Linkage Project Scheme support some aspects of research work towards the HMT solution.

Establishing a zone where technology innovation is supported

Learning technologies are now a ubiquitous force in the higher education sector however we continue to pursue more inventive ways to use them for teaching and learning. Many teaching academics that seek to be innovative do not have access to a supportive technology innovation zone. The aim of this study was to investigate the articulated staff development needs of academics involved in a faculty based technology innovation project and create the conditions that would cultivate innovation. The study sought to find out how academics perceived they might best be assisted through their technology innovation process so that participants’ needs were incorporated into planning. A questionnaire was used to elicit background information about the academics’ experience, skills and self diagnosed skill deficits in this context. Participants were also requested to provide information about how they thought they would best acquire the skills given their time and other resource constraints. A modified Delphi Technique was utilised to achieve some consensus on what academics required to support technology innovation. Complemented by an enabling and empowering team based approach, the academics were provided with an innovation zone to achieve significant goals for the project.

Intelligent decision support for family financial planning

In today’s financial markets characterized by constantly changing tax laws and increasingly complex transactions, the demand for family financial planning (FFP) services is rising dramatically. However, the current trend to develop advisory systems that focus mainly on the financial or investment side fails to consider the whole picture of FFP. Separating financial or investment advice from legal and accounting advice may result in conflicting advice or important omissions that could lead to users suffering financial loss. In this paper, we propose a conceptual model for FFP decision-making process, followed by a novel architecture to support an aggregated FFP decision process by utilizing intelligentagents and Web-services technology. A prototype system for supporting FFP decision is presented to demonstrate the advances of the proposed Web-service multi-agentsbased system architecture and business value.

Rule extraction from technology IPOs in the US stock market

Machine learning techniques for prediction and rule extraction from artificial neural network methods are used. The hypothesis that market sentiment and IPO specific attributes are equally responsible for first-day IPO returns in the US stock market is tested. Machine learning methods used are Bayesian classifications, support vector machines, decision tree techniques, rule learners and artificial neural networks. The outcomes of the research are predictions and rules associated With first-day returns of technology IPOs. The hypothesis that first-day returns of technology IPOs are equally determined by IPO specific and market sentiment is rejected. Instead lower yielding IPOs are determined by IPO specific and market sentiment attributes, while higher yielding IPOs are largely dependent on IPO specific attributes.

United we stand: A call for collective cooperation of SME's when they trade globally using internet technology

This paper examines the potential for cluster associations to act globally, enabled by information computer technology (ICT). In particular, it explores the relationship between cooperation and organizational structures and systems of action in developing an ICT capability. The slow up-take of ICT and the problems involved is also becoming of increased interest to policymakers. This paper outlines how, through the use of cluster associations based on co-operation and effective structures and systems, this can be maximized. The proposition introduced in this paper argues that cluster associations with low power-dependence and decentralized structures are better able to provide the necessary support that such SMEs require to utilize the technology

The design and evaluation of distributed virtual environment to support learning in global operations management

The primary goal of this research is to design and develop an education technology to support learning in global operations management. The research implements a series of studies to determine the right balance among user requirements, learning methods and applied technologies, on a view of student-centred learning. This research is multidisciplinary by nature, involving topics from various disciplines such as global operations management, curriculum and contemporary learning theory, and computer aided learning. Innovative learning models that emphasise on technological implementation are employed and discussed throughout this research.