Process model comprehension : the effects of cognitive abilities, learning style, and strategy

Process models are used to convey semantics about business operations that are to be supported by an information system. A wide variety of professionals is targeted to use such models, including people who have little modeling or domain expertise. We identify important user characteristics that influence the comprehension of process models. Through a free simulation experiment, we provide evidence that selected cognitive abilities, learning style, and learning strategy influence the development of process model comprehension. These insights draw attention to the importance of research that views process model comprehension as an emergent learning process rather than as an attribute of the models as objects. Based on our findings, we identify a set of organizational intervention strategies that can lead to more successful process modeling workshops.

Transit passenger segmentation using travel regularity mined from Smart Card transactions data

Transit passenger market segmentation enables transit operators to target different classes of transit users to provide customized information and services. The Smart Card (SC) data, from Automated Fare Collection system, facilitates the understanding of multiday travel regularity of transit passengers, and can be used to segment them into identifiable classes of similar behaviors and needs. However, the use of SC data for market segmentation has attracted very limited attention in the literature. This paper proposes a novel methodology for mining spatial and temporal travel regularity from each individual passenger’s historical SC transactions and segments them into four segments of transit users. After reconstructing the travel itineraries from historical SC transactions, the paper adopts the Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm to mine travel regularity of each SC user. The travel regularity is then used to segment SC users by an a priori market segmentation approach. The methodology proposed in this paper assists transit operators to understand their passengers and provide them oriented information and services.

A recommendation approach dealing with multiple market segments

A new community and communication type of social networks - online dating - are gaining momentum. With many people joining in the dating network, users become overwhelmed by choices for an ideal partner. A solution to this problem is providing users with partners recommendation based on their interests and activities. Traditional recommendation methods ignore the users’ needs and provide recommendations equally to all users. In this paper, we propose a recommendation approach that employs different recommendation strategies to different groups of members. A segmentation method using the Gaussian Mixture Model (GMM) is proposed to customize users’ needs. Then a targeted recommendation strategy is applied to each identified segment. Empirical results show that the proposed approach outperforms several existing recommendation methods.

Acticoat™ : A cost-effective and evidence-based dressing strategy [Letter to the Editor]

We thank Dr. Burd et al. for taking an interest in our paper [1]. The retrospective cohort study was performed and published for two reasons. Firstly, we wished to compare and contrast the use of Acticoat™ and Silvazine™, and secondly we wished to demonstrate how one's practice can be dramatically altered by a change in dressing used. We found that Acticoat™ was safe and easy to use, caused less trauma to patients, required less frequent dressing changes and enabled treatment to be conducted on an outpatient, rather than an inpatient basis. During the period of Acticoat™ treatment we also saw a dramatic reduction in grafting requirements and also in the need for long-term scar management. Burd et al. correctly state that silver-based dressings are now more widely available, however many burn centres in the world continue to use silver sulphadiazine with daily baths. We therefore feel that a comparison is very relevant and useful. Prospective, randomised clinical trials of a range of silver-based dressings would indeed be useful, and hopefully Dr. Burd and colleagues will take up their own suggestion and perform these studies...

Media and information literacy : policy and strategy guidelines

In the evolving knowledge societies of today, some people are overloaded with information, others are starved for information. Everywhere, people are yearning to freely express themselves,to actively participate in governance processes and cultural exchanges. Universally, there is a deep thirst to understand the complex world around us. Media and Information Literacy (MIL) is a basis for enhancing access to information and knowledge, freedom of expression, and quality education. It describes skills, and attitudes that are needed to value the functions of media and other information providers, including those on the Internet, in societies and to find, evaluate and produce information and media content; in other words, it covers the competencies that are vital for people to be effectively engaged in all aspects of development.

Conceptualizing the interplay of knowledge accumulation and integration capabilities in service innovation-based competitive strategy : a project-oriented firm context

While past knowledge-based approaches to service innovation have emphasized the role of integration of knowledge in the provisioning of solutions, these approaches fail to address complexities involved with knowledge integration in project-oriented context, specifically, how the firm’s capability to acquire new knowledge from clients and past project episodes influence the development of new service solutions. Adopting a dynamic capability framework and building on knowledge-based approaches to innovation, this paper presents a conceptual model that captures the interplay of learning capabilities and the knowledge integration capability in the service innovation-based competitive strategy. Implications to theory and directions for future research are discussed.

A coordinated voltage support strategy for LV network with multiple DSTATCOMs

Voltage rise and drop are the main power quality challenges in Low Voltage (LV) network with Renewable Energy (RE) generators. This paper proposes a new voltage support strategy based on coordination of multiple Distribution Static Synchronous Compensators (DSTATCOMs) using consensus algorithm. The study focuses on LV network with PV as the RE source for customers. The proposed approach applied to a typical residential LV network and its advantages are shown comparing with other voltage control strategies.

Vision-based docking using an autonomous surface vehicle

This paper describes the development of a novel vision-based autonomous surface vehicle with the purpose of performing coordinated docking manoeuvres with a target, such as an autonomous underwater vehicle, at the water's surface. The system architecture integrates two small processor units; the first performs vehicle control and implements a virtual force based docking strategy, with the second performing vision-based target segmentation and tracking. Furthermore, the architecture utilises wireless sensor network technology allowing the vehicle to be observed by, and even integrated within an ad-hoc sensor network. Simulated and experimental results are presented demonstrating the autonomous vision- based docking strategy on a proof-of-concept vehicle.

Online self-supervised multi-instance segmentation of dynamic objects

This paper presents a method for the continuous segmentation of dynamic objects using only a vehicle mounted monocular camera without any prior knowledge of the object’s appearance. Prior work in online static/dynamic segmentation is extended to identify multiple instances of dynamic objects by introducing an unsupervised motion clustering step. These clusters are then used to update a multi-class classifier within a self-supervised framework. In contrast to many tracking-by-detection based methods, our system is able to detect dynamic objects without any prior knowledge of their visual appearance shape or location. Furthermore, the classifier is used to propagate labels of the same object in previous frames, which facilitates the continuous tracking of individual objects based on motion. The proposed system is evaluated using recall and false alarm metrics in addition to a new multi-instance labelled dataset to evaluate the performance of segmenting multiple instances of objects.

Winning the phishing war : a strategy for Australia

Phishing, a form of on-line identity theft, is a major problem worldwide, accounting for more than $7.5 Billion in losses in the US alone between 2005 and 2008. Australia was the first country to be targeted by Internet bank phishing in 2003 and continues to have a significant problem in this area. The major cyber crime groups responsible for phishing are based in Eastern Europe. They operate with a large degree of freedom due to the inherent difficulties in cross border law enforcement and the current situation in Eastern Europe, particularly in Russia and the Ukraine. They employ highly sophisticated and efficient technical tools to compromise victims and subvert bank authentication systems. However because it is difficult for them to repatriate the fraudulently obtained funds directly they employ Internet money mules in Australia to transfer the money via Western Union or Money gram. It is proposed a strategy, which firstly places more focus by Australian law enforcement upon transactions via Western Union and Money gram to detect this money laundering, would significantly impact the success of the Phishing attack model. This combined with a technical monitoring of Trojan technology and education of potential Internet money mules to avoid being duped would provide a winning strategy for the war on phishing for Australia.

Career mentoring : a career development-enhancing strategy for university students in transition to employment

In 1992 the Queensland University of Technology (QUT) Convocation initiated the Mentor Scheme to assist students to better prepare for the transition to employment. The scheme has developed over the past six years and in 1998 more than 130 pairs of employers and students from 12 different disciplines participated in it. Evaluations indicate the positive impact the scheme has made on both mentors and mentees, particularly in enhancing mentees' career development.

An ICT Implementation Strategy for Primary Schools in Fiji

Information and Communication Technology (ICT) has been embraced with hope and optimism in both developing and developed countries. While in the developed countries most citizens have access to one or many of the devices which utilize this technology (e.g. desktop, laptop, tablet, mobile phone), in developing countries this “luxury” can only be afforded by a privileged few. The use of these technologies in primary schools in developing countries is low. This is due to the fact that there are other bigger issues that some of these countries have to grapple with such as meeting the basic health and education needs of its citizens. Quality primary education and global development partnerships are two of the eight Millennium Development Goals of the United Nations (UNDP, 2012). Many Governments, NGO’s, service organizations, and individuals in developing countries are always looking at ways in which the disparity (not just in terms of ICT) can be narrowed. There has to be a greater collaboration between stakeholders in developing and developed countries (Mutonyi & Norton, 2007). How do stakeholders from developed countries engage with partners in developing countries to deliver meaningful and relevant outcomes for primary school students using ICT? As a first step getting the key stakeholders on side is critical. In the Fijian context, schools are managed and run by committees who are members of the community. Therefore, getting the committee on side together with the head-teachers and teachers is critical. Conversations about teaching and learning with technology can then follow with greater ease. The sustainability of any innovative approaches is also an essential element of this equation. Through this lens, this chapter investigates how ICT can be implemented in primary schools in Fiji. It proposes a three-layered approach which focuses on: (1) the community, school leadership, and teachers; (2) content, pedagogy, and technology, and (3) sustainability.

A multi-hierarchical motorway ramp signalling strategy

Ramp signalling is an access control for motorways, in which a traffic signal is placed at on-ramps to regulate the rate of vehicles entering the motorway and thus to preserve the motorway capacity. In general, ramp signalling algorithms fall into two categories: local control and coordinated control by their effective scope. Coordinated ramp signalling strategies make use of measurements from the entire motorway network to operate individual ramp signals for the optimal performances at the network level. This study proposes a multi-hierarchical strategy for coordinated ramp signalling. The strategy is structured in two layers. At the higher layer with a longer update interval, coordination group is assembled and disassembled based on the location of high-risk breakdown flow. At the lower layer with a shorter update interval, individual ramps are hired to serve the coordination and are also released based on the prevailing congestion level on the ramp. This strategy is modelled and applied to the northbound Pacific Motorway micro-simulation platform (AIMSUN). The simulation results show an effective congestion mitigation of the proposed strategy.

Using Participatory Design (PD) as youth engagement strategy to inform design and development of evidence-based wellbeing e-tools

The paper presents a participatory design research framework as a primary method for structuring youth engagement, participation and contribution to the design, development and usability evaluation of three evidencebased e-tools for wellbeing, which include smart phone mobile apps as well as e-health websites. The three projects are part of a series of six e-tools part of Safe and Supportive program under Young and Well CRC. The participatory design method, developed by Zelenko (2012) for application in design of online health promoting technologies, was further piloted in partnership with Inspire USA for specific application within the CRC, deploying a combination of creative design workshops and speculative design activities in developing e-tool prototypes with young people. This paper presents the resulting participatory research framework as it was implemented across the e-tool projects to facilitate active youth participation in co-designing the e-tools and ensuring the final designs are relevant to young people and deliver health messages in engaging ways. The principles of Participatory Design (PD) that inform the new framework include a high degree of participant agency in creative decisionmaking and a commitment to the process of co-designing, with young people working alongside designers and developers. The paper will showcase how the PD framework was applied across three projects to increase young people’s contribution to final design outcome.

Joint 2D and 3D cues for image segmentation towards robotic applications

This thesis investigates the fusion of 3D visual information with 2D image cues to provide 3D semantic maps of large-scale environments in which a robot traverses for robotic applications. A major theme of this thesis was to exploit the availability of 3D information acquired from robot sensors to improve upon 2D object classification alone. The proposed methods have been evaluated on several indoor and outdoor datasets collected from mobile robotic platforms including a quadcopter and ground vehicle covering several kilometres of urban roads.