An adaptive approach to information discovery in multi-dimensional wireless sensor networks

Multidimensional WSNs are deployed in complex environments to sense and collect data relating to multiple attributes (multidimensional data). Such networks present unique challenges to data dissemination, data storage and in-network query processing (information discovery). In this paper, we investigate efficient strategies for information discovery in large-scale multidimensional WSNs and propose the Adaptive MultiDimensional Multi-Resolution Architecture (A-MDMRA) that efficiently combines “push” and “pull” strategies for information discovery and adapts to variations in the frequencies of events and queries in the network to construct optimal routing structures. We present simulation results showing the optimal routing structure depends on the frequency of events and query occurrence in the network. It also balances push and pull operations in large scale networks enabling significant QoS improvements and energy savings.

Energy efficient information discovery approach for range queries in multi-dimensional WSNs

Multidimensional WSNs are deployed in complex environments to sense and collect data relating to multiple attributes (multi-dimensional data). Such networks present unique challenges to data dissemination, data storage and in-network query processing (information discovery). Recent algorithms proposed for such WSNs are aimed at achieving better energy efficiency and minimizing latency. This creates a partitioned network area due to the overuse of certain nodes in areas which are on the shortest or closest or path to the base station or data aggregation points which results in hotspots nodes. In this paper, we propose a time-based multi-dimensional, multi-resolution storage approach for range queries that balances the energy consumption by balancing the traffic load as uniformly as possible. Thus ensuring a maximum network lifetime. We present simulation results to show that the proposed approach to information discovery offers significant improvements on information discovery latency compared with current approaches. In addition, the results prove that the Quality of Service (QoS) improvements reduces hotspots thus resulting in significant network-wide energy saving and an increased network lifetime.

Information discovery in multi-dimensional autonomous wireless sensor networks

 The thesis proposed four novel algorithms of information discovery for Multidimensional Autonomous Wireless Sensor Networks (WSNs) that can significantly increase network lifetime and minimize query processing latency, resulting in quality of service improvements that are of immense benefit to Multidimensional Autonomous WSNs are deployed in complex environments (e.g., mission-critical applications).

Fast and energy efficient data storage for information discovery in multi-dimensional WSNs

Multidimensional WSNs are deployed in complex environments to sense and collect data relating to multiple attributes (multi-dimensional data). An efficient information dis-covery for multi-dimensional WSNs deployed in mission–critical environments has become an essential research consideration. Timely and energy efficient information discovery is very impor-tant to maintain the QoS of such mission critical applications. An inefficient information discovery mechanism will result in high transmission of data packets over the network creating bottlenecks leading to unbalanced energy consumption over the network. High latency and inefficient energy consumption will have a direct effect on the QoS of mission-critical applications of particular importance in this regard is the minimization of hotspots.

UGI: a multi-dimensional ultrasonic-based interaction approach

We are currently witnessing an era where interaction with computers is no longer limited to conventional methods (i.e. keyboard and mouse). Human Computer Interaction (HCI) as a progressive field of research, has opened up alternatives to the traditional interaction techniques. Embedded Infrared (IR) sensors, Accelerometers and RGBD cameras have become common inputs for devices to recognize gestures and body movements. These sensors are vision based and as a result the devices that incorporate them will be reliant on presence of light. Ultrasonic sensors on the other hand do not suffer this limitation as they utilize properties of sound waves. These sensors however, have been mainly used for distance detection and not with HCI devices. This paper presents our approach in developing a multi-dimensional interaction input method and tool Ultrasonic Gesture-based Interaction (UGI) that utilizes ultrasonic sensors. We demonstrate how these sensors can detect object movements and recognize gestures. We present our approach in building the device and demonstrate sample interactions with it. We have also conducted a user study to evaluate our tool and its distance and micro gesture detection accuracy. This paper reports these results and outlines our future work in the area.

Assessing sport management journals : a multi-dimensional examination

The rating of refereed journals has become important for academics and institutions as well as for sport management as a field of study. This paper argues that the dearth of a rating system in sport management works against the best interests of the development of the field. This paper presents a rating scheme for sport management journals, which replicates an earlier study of marketing journals, using weighted multi-dimensional perceptual ratings (Polonsky & Whitelaw, 2006). Forty-five senior sport management academics evaluated 13 journals on four criteria: journal prestige, contribution to theory, contribution to practice and contribution to teaching. Using the weighted scores of the four criteria for each journal and a supporting cluster analysis, four categories of journals were identified. The results of this study will assist academics as they argue the case for the quality of journals in which they publish. Further it facilitates evaluation of sport management journals in relation to one another on the basis of their overall ranking and their scores on the four individual criteria.

Proposed multi-dimensional approach to evaluating service recovery

Purpose – The purpose of this paper is to extend thinking on service recovery processes and satisfaction with service recovery, using multi-dimensional consumer outcomes. The objective of the work was to propose that satisfaction with service recovery should be based on customers' expectations of the recovery encounter, which would be shaped by their expectations of “non-failed” encounters.

Design/methodology/approach – The paper adopts a theoretical approach. Using the existing service recovery literature as well as the traditional services literature, the conceptual framework and associated research propositions are developed.

Findings – The proposed framework suggests that service recovery is a service encounter it its own right. The effectiveness of recovery encounters will be based on how encounters operate relative to customer expectations and experiences with regard to the recovery activity.

Research limitations/implications – The research propositions and proposed framework need further empirical investigation.

Practical implications – The proposed framework suggests that managing service recovery should be undertaken in a similar fashion to managing any service, and thus managers need to understand customers' recovery expectations. Organisations also need to consider how a recovery action impacts on a range of customer outcomes, as focusing on one aspect will not capture consumers' full set of behaviours.

Originality/value – The proposed model identifies that service recovery should be evaluated with regard to consumers' recovery expectations and satisfaction is not based on expectations with regard to non-failed encounters.

Exploring multi-dimensional perceptual ranking of marketing journals by North American academics

This paper develops a weighted multi-dimensional perceptual rankings based on respondents evaluation of a journals prestige, contribution to theory, contribution to practice and contribution to teaching. Comparisons are made between rankings of individual criteria and composite rankings. Comparisons are also made to recent single dimension perceptual-based rankings and citation-based rankings.

Multi-dimensional examination of marketing journal rankings by North American academics

This paper extends the journal ranking debate by developing weighted multi-dimensional perceptual rankings based on respondents' evaluation of a journals' prestige, contribution to theory, contribution to practice and contribution to teaching. Spearman correlations indicate that journal rankings based on each of the evaluative criteria are statistically significantly correlated for all pairs of criteria, other than teaching and theory. The multi-dimensional evaluation is also statistically significantly correlated to all individual criteria, other than the teaching dimension. A cluster analysis of the journals using the four evaluative criteria identified that there are three groupings of journals: A, B, and C. In most cases, A journals are evaluated as performing better than B journals on each of evaluative criteria other than for the contribution to teaching where there are no difference in perceptions between groups. B journals are viewed to perform better than C journals on prestige, contribution to practice and contribution to teaching, but not based on their prestige of weighted evaluation. This suggests that there are differences in how academics view each group of journals, although these differences do seem to vary based on the grouping being considered (i.e., A, B, or C).

A grouping journals using multi-dimensional perceptual criteria of North American marketing academics

This paper seeks to develop groupings of journals (A, B, C) using multi-dimensional perceptual rankings, based on North American respondents’ evaluation of a journal’s prestige, contribution to theory, contribution to practice and contribution to teaching. Nonparametric comparisons of criterion mean values indicate that there are generally statistically significant correlations between criteria. Cluster analysis identifies A, B, and C 'categorisations' of journals are different in regards to all four evaluative criteria.

Post processing of the hot torsion test results using a multi-dimensional modelling approach

A model selection scheme was extended to a multi-dimensional representation of the hot torsion test torque, twist and twist rate data to calculate partial derivatives of the torque data with respect to twist and twist rate. These enabled calculation of the instantaneous strain and strain rate hardening indices in the Fields and Backofen method. The concept of an iso-parametric shape function has been borrowed from the finite element method for adding twist rate as a dependant variable to the torque-twist models identified by the model selection scheme. Expressions to calculate the hardening indices, when employing a rational model of torsion data, were derived and presented. Subsequently, the models were used for post processing the data and determining hot strength behaviour, taking into account variations of strain and strain rate hardening indices during the deformation. To substantiate the technique, the hot flow behaviour of API-X70 micro-alloyed steel was determined using a range of hot torsion test data for the material. The flow stress obtained using the instantaneous hardening indices were compared with that obtained by the orthodox technique. For the investigated cases, the onset of dynamic recrystallization (DRX) predicted by the presented technique deviated considerably from those obtained when the average indices were used.

The national mapping of teacher professional learning project : a multi-dimensional space?

This essay focuses on the National Mapping of Teacher Professional Learning (2008), a report that we co-authored along with a number of other researchers on the basis of extensive surveys and interviews relating to the policies and practices of teacher professional learning in Australia. The report is an update of an earlier survey conducted by David McRae and others, entitled PD 2000, and it registers significant changes in attitudes and practices relating to professional learning across Australia in the intervening period. Perhaps the most significant development is the way professional learning is now recognized as an important vehicle for education reform by systems, schools and by teachers themselves, most notably the standards-based reforms that have such a decisive effect on the policy landscape here in Australia and in other countries. The work of the AATE in developing the Standards for Teachers of English Language and Literacy (STELLA) is mentioned in the report. It was acknowledged that STELLA provides a generative framework for professional learning, sometimes in contradiction to more managerial approaches. The question remains, however, of how English teachers as a professional community might locate themselves within the policy landscape described in this report. This essay is an attempt to promote this kind of discussion and to argue the distinctive nature of the standpoint that English teachers might bring to thinking about and planning for professional learning and practitioner inquiry.