Context-aware vertical handovers between WLAN and 3G networks

Vertical handovers can transform heterogeneous networks into an integrated communication environment. Such integration can lead to seamless communication if context information is used to support vertical handovers. Seamless communication environments are needed for future pervasive/ubiquitous systems, which are context aware and can adapt to context changes, including network disconnections, changes in network quality of service and changes in user preferences. This paper describes a generic, context-aware handover solution for multimedia applications and illustrates how this handover works for redirection of communication between WLANs and GPRS or UMTS networks. A description of a prototype for WLAN/GPRS handover and the results of handover experiments are also presented.

Women, computing and the 'ideal worker': A comparison of professional occupations

In this paper we use recent census data supplemented with case study evidence to investigate the extent to which professional computing occupations in Australia are constructed around the notion of an ‘ideal’ worker. Census data are used to compare computer professionals with other selected professional occupational groups, illustrating different models of accommodating (or not accommodating) workers who do not fit the ideal model. The computer professionals group is shown to be distinctive in combining low but consistent levels of female representation across age groups, average rates of parenthood and minimal provisions for working-time flexibility. One strategy employed by women in this environment is selection of relatively routine technical roles over more time intensive consultancy based work.

Intergroup processes in intragroup contexts: The roles of group status, group identification and communication in diverse work teams

The present research examines employee identification and communication in organisations. In Study 1, 2229 soldiers from a military organisation completed measures of perceived status and strength of identification with their unit, employment category and their brigade. As predicted, the status of a key organisational group influenced reactions to different organisational groups: full-time soldiers evaluated their work unit and the organisation as being lower in status and identified less strongly with both of these groups than part-time soldiers. The second study extended these findings to a different research context: a large psychiatric hospital undergoing downsizing and restructuring. Surprisingly, there were no differences in survivors' and victims' levels of identification with organisational groups. Instead, and consistent with Study 1, there was evidence to suggest that employees adjusted their patterns of identification and perceptions of group status through a compensatory mechanism that maximised opportunities for selfenhancement and positive distinctiveness. In the third study, employees from a public hospital (N = 142) rated communication from double ingroup members (same work unit/same occupational group) more favourably than communication from partial group members (same work unit/different occupational group). These results are considered in terms of their practical implications for identity management in organisations.

A novel grid computing approach for probabilistic small signal analysis

Grid computing is an advanced technique for collaboratively solving complicated scientific problems using geographically and organisational dispersed computational, data storage and other recourses. Application of grid computing could provide significant benefits to all aspects of power system that involves using computers. Based on our previous research, this paper presents a novel grid computing approach for probabilistic small signal stability (PSSS) analysis in electric power systems with uncertainties. A prototype computing grid is successfully implemented in our research lab to carry out PSSS analysis on two benchmark systems. Comparing to traditional computing techniques, the gird computing has given better performances for PSSS analysis in terms of computing capacity, speed, accuracy and stability. In addition, a computing grid framework for power system analysis has been proposed based on the recent study.