http://hdl.handle.net/10453/207 2013-05-23T08:35:36Z 2013-05-23T08:35:36Z Al- Hassan Malak Lu Hai Yan Lu Jie http://hdl.handle.net/10453/12914 2012-10-07T22:02:39Z 2009-01-01T00:00:00Z

A Framework for Delivering Personalized e-Government Services from a Citizen-Centric Approach Al- Hassan Malak; Lu Hai Yan; Lu Jie Gabriele Kotsis, David Taniar, Eric Pardede, Ismail Khlil E-government is becoming more attentive towards providing intelligent personalized online services to citizens so that citizens can receive better services with less time and effort. This paper proposes a new conceptual framework for delivering personalized e-government services to citizens from a citizen-centric approach, called Pe-Gov service framework. This framework outlines the main components and their interconnections. Detailed explanations about these components are given and the special features of this framework are highlighted. This framework has the potential to outperform the existing e-Gov service systems as illustrated by two real life examples.

2009-01-01T00:00:00Z Kennard Richard Steele Robert http://hdl.handle.net/10453/12912 2012-05-07T03:30:26Z 2008-01-01T00:00:00Z

Application of Software Mining to Automatic User Interface Generation Kennard Richard; Steele Robert H. Fujita and I. Zualkernan Many software projects spend a significant proportion of their time developing the User interface, so any degree of automation in this area has clear benefits. Research projects to date generally take one of three approaches: interactive graphical specification tools, model-based generation tools, or language-based tools. The first two have proven popular in industry but are labour intensive and error-prone. The third is more automated but has practical problems which limit its usefulness. This paper proposes applying the emerging field of software mining to perform runtime inspection of an application's architecture and reduce the labour intensive nature of interactive graphical specification tools and model-based generation tools. It also proposes UI generation can be made more practical by delimiting useful bounds to the generation process. The paper concludes with a description of a prototype project that implements these ideas.

2008-01-01T00:00:00Z Otoom Ahmed Piccardi Massimo Gunes Hatice http://hdl.handle.net/10453/12913 2012-05-07T03:33:08Z 2008-01-01T00:00:00Z

Automatic Classification of Abandoned Objects for Surveillance of Public Premises Otoom Ahmed; Piccardi Massimo; Gunes Hatice Li, Dongguang; Deng, Guang; Wang, Yuanquan One of the core components of any visual surveillance system is object classification, where detected objects are classified into different categories of interest. Although in airports or train stations, abandoned objects are mainly luggage or trolleys, none of the existing works in the literature have attempted to classify or recognize trolleys. In this paper, we analyzed and classified images of trolley(s), bag(s), single person(s), and group(s) of people by using various shape features with a number of uncluttered and cluttered images and applied multi-frame integration to overcome partial occlusions and obtain better recognition results. We also tested the proposed techniques on data extracted from a well-recognized and recent data set, PETS 2007 benchmark data set [16]. Our experimental results show that the features extracted are invariant to data set and classification scheme chosen. For our four-class object recognition problem, we achieved an average recognition accuracy of 70%.

2008-01-01T00:00:00Z Behrens Michael Carmichael Marc Patel Miteshkumar http://hdl.handle.net/10453/12910 2013-05-07T00:38:39Z 2008-01-01T00:00:00Z

Designing SANDRA: An Autonomous Tour Guide Robot for the University of Technology, Sydney Behrens Michael; Carmichael Marc; Patel Miteshkumar Kim, J; Mahony, R This paper describes how a team of final year mechatronic engineering students developed an autonomous robotic system intended to act as a tour guide during events such as University open days and explores the opportunities this project presented to extend their knowledge and skills. The specifications of the project required the system to localise and navigate autonomously within a known environment while avoiding collisions with any people or obstacles not included in the prior area map. In addition to these requirements, the system needed to locate humans as potential clients, approach and greet them, offer directions and if required take the guest on a guided tour of the university. While taking the subject Advanced Robotics the students were able to develop a functional first prototype of the system and carry out initial tests. Following the completion of the subject a small number of the students opted to continue working on the project developing a second prototype using the knowledge gained and further enhancing their learning experiences. While this project mainly involved integrating existing well known algorithms, software and hardware, it provided an excellent opportunity to enhance the mechatronic engineering skills of the students involved.

2008-01-01T00:00:00Z