Information sharing between heterogeneous uncertain reasoning models in a multi-agent environment : a case study

The issue of information sharing and exchanging is one of the most important issues in the areas of artificial intelligence and knowledge-based systems (KBSs), or even in the broader areas of computer and information technology. This paper deals with a special case of this issue by carrying out a case study of information sharing between two well-known heterogeneous uncertain reasoning models: the certainty factor model and the subjective Bayesian method. More precisely, this paper discovers a family of exactly isomorphic transformations between these two uncertain reasoning models. More interestingly, among isomorphic transformation functions in this family, different ones can handle different degrees to which a domain expert is positive or negative when performing such a transformation task. The direct motivation of the investigation lies in a realistic consideration. In the past, expert systems exploited mainly these two models to deal with uncertainties. In other words, a lot of stand-alone expert systems which use the two uncertain reasoning models are available. If there is a reasonable transformation mechanism between these two uncertain reasoning models, we can use the Internet to couple these pre-existing expert systems together so that the integrated systems are able to exchange and share useful information with each other, thereby improving their performance through cooperation. Also, the issue of transformation between heterogeneous uncertain reasoning models is significant in the research area of multi-agent systems because different agents in a multi-agent system could employ different expert systems with heterogeneous uncertain reasonings for their action selections and the information sharing and exchanging is unavoidable between different agents. In addition, we make clear the relationship between the certainty factor model and probability theory.

Spam filtering for network traffic security on a multi-core environment

This paper presents an innovative fusion-based multi-classifier e-mail classification on a ubiquitous multicore architecture. Many previous approaches used text-based single classifiers to identify spam messages from a large e-mail corpus with some amount of false positive tradeoffs. Researchers are trying to prevent false positive in their filtering methods, but so far none of the current research has claimed zero false positive results. In e-mail classification false positive can potentially cause serious problems for the user. In this paper, we use fusion-based multi-classifier classification technique in a multi-core framework. By running each classifier process in parallel within their dedicated core, we greatly improve the performance of our multi-classifier-based filtering system in terms of running time, false positive rate, and filtering accuracy. Our proposed architecture also provides a safeguard of user mailbox from different malicious attacks. Our experimental results show that we achieved an average of 30% speedup at an average cost of 1.4 ms. We also reduced the instances of false positives, which are one of the key challenges in a spam filtering system, and increases e-mail classification accuracy substantially compared with single classification techniques.

Leading an evidence-based, multi-stakeholder approach to evaluating the implementation of a new online learning environment : an Australian institutional case study

An Australian institutional case study is presented on the evaluation approach being adopted for the implementation of a new online learning environment. Well conceived and inclusive evaluation is seen as essential for the quality management of online learning environments. The focus is on identifying and reconciling the informational needs of various stakeholder groups in the institution, and developing a plan of action covering the key period of implementation. The significant judgements required to carry out evaluation in a multi-campus environment cannot be under-estimated. This is particularly the case given the more recent move to devolving resources and responsibility for the successful implementation of the environment to faculties in the institution concerned. It calls for a more sophisticated conception and set of practices around distributed leadership, as aided by institutions‘ teaching and learning centres. A set of strategic recommendations are offered to help with the evaluation task.

Insurance services in multi-agent systems

In a multi-agent environment, there is often the need for an agent to cooperate with others so as to ensure that a given task is achieved timely and cost-effectively. Present agent systems currently maximizes this through mechanisms such as trust and risk assessments. In this paper, we extend this mechanism by introducing the concept of insurance, in which the insurance agents act as a bridge between agents who require resources from others. Unlike traditional systems, agents purchase insurance so as to guarantee to have the requested resources during the task execution time and thus minimize the risk in task failure. The novelty of this proposal is that it ensures agents continuously to exchange resources and to seek maximum expected utility in a dynamic environment at the same time. Our experimental results confirm the feasibility of our approach.

Multi-cluster computing interconnection network performance modeling and analysis

The overall performance of a distributed system often depends on the effectiveness of its interconnection network. Thus, the study of the communication networks for distributed systems–which is the focus of this paper–is very important. In particular, we address the problem of fat-tree based interconnection networks performance modeling for multi-user heterogeneous multi-cluster computing systems. To this end, we present an analytical model and validate the model through comprehensive simulation. The results of the simulation demonstrate that the proposed model exhibits a good degree of accuracy for various system organizations and under different working conditions. On the basis of the validated model, we propose an adaptive assignment function based on the existing heterogeneity of the system to minimize multi-user environment overhead.

The client's complex decision-making environment on international mega projects

More than ever before, architectural, engineering and construction (AEC) firms are working on international mega projects. The mega project environment offers a range of opportunities for firms but is but is characterised by a high level of risk and uncertainty. International mega projects bring together networks of people with differing backgrounds and cultures to work in unfamiliar locations to integrate the social, economic, technical and political components of design and construction. Within such an intense environment there is a process of rapid relationship development at an unprecedented level. The interests and power relations on such projects are often very strong given the vast amount of money, jobs, environmental impacts, publicity and national prestige involved. Therefore in a field as costly or consequential as mega project design and construction there is an increased need to effectively manage these projects given the associated high risks of failure. Internationalisation is a relatively new field of research in the AEC sector and past research has tended to focus on explaining the attitudes and behaviour of the industry itself towards improving performance on such projects. To date there has been little research investigating the sophistication of the international client in terms of their regular business environment which is characterised by a set of social, economic and political responsibilities. The values that clients ascribe to their everyday practices and experiences inevitably condition how they act economically, which in turn impacts upon project decision-making. Clients establish the structural organisation of project teams through the procurement strategy and establish the context for effective decision-making. To a large extent they establish a unique culture that project team members need to work within and make decisions. Since clients establish the context within which firms operate the findings of past studies on the industry’s position and attitudes are more indicative than enlightening. Clients occupy a distinctly different position in the construction supply chain and therefore experience and respond to project matters based upon their environment and not the construction industry environment. Clients are confronted with uncertainties and need support to help them understand the critical role that they play in creating good decision-making environments. This theoretical paper seeks to develop a rationale for studying the client’s complex decision-making environment on international mega projects. Specifically it charts the quest for improved industry performance through client leadership as documented in various industry and government publications since the 1940s and highlights that there has been considerable attention to address industry problems through client leadership, however, with little evidence that the issues have been resolved. This paper is positioned within a PhD study, which seeks to move beyond the aspirations of policymakers and idealistic descriptions of how clients ought to behave to explain the reality of what really happens on mega project client decision-making based upon a critique of cultural political economy.

Dynamic cloud service selection using an adaptive learning mechanism in multi-cloud computing

Cloud service selection in a multi-cloud computing environment is receiving more and more attentions. There is an abundance of emerging cloud service resources that makes it hard for users to select the better services for their applications in a changing multi-cloud environment, especially for online real time applications. To assist users to efficiently select their preferred cloud services, a cloud service selection model adopting the cloud service brokers is given, and based on this model, a dynamic cloud service selection strategy named DCS is put forward. In the process of selecting services, each cloud service broker manages some clustered cloud services, and performs the DCS strategy whose core is an adaptive learning mechanism that comprises the incentive, forgetting and degenerate functions. The mechanism is devised to dynamically optimize the cloud service selection and to return the best service result to the user. Correspondingly, a set of dynamic cloud service selection algorithms are presented in this paper to implement our mechanism. The results of the simulation experiments show that our strategy has better overall performance and efficiency in acquiring high quality service solutions at a lower computing cost than existing relevant approaches.

Waste management practices in construction projects: perceptions of project managers

The construction industry has been found to be a major generator of waste and there are many challenges associated with finding the most sustainable way to manage construction waste. As the construction industry is a project based industry, it is essential to look at cultural issues related to waste management at the project level. Therefore, this research aims to identify the current status of waste management practices in construction projects by analysing project managers’ views on waste management performance in construction projects; project managers’ attitudes towards waste management; and project managers’ views on waste management culture in construction projects. A questionnaire survey was carried out and project managers were selected as a target group to distribute questionnaires, as project managers have a vital involvement in promoting and maintaining project culture in the construction project environment. Data was analysed using descriptive statistics and the Kruskal-Wallis test. The findings reveal that project managers believe that even though the operational cost of waste minimisation is high in construction projects, overall waste management is profitable. At the same time it was interesting that even though project managers believe most project participants are satisfied with existing waste management systems, overall waste management efforts are not perceived as being at a satisfactory level in construction projects. Project managers consider waste as an inevitable by-product, but they do not believe that waste management is beyond the control of project members or that waste has no value. At the same time, it was found that project managers infer that project participants are cost and time conscious in waste management despite the roles, responsibilities and duties of each party in waste management not being well-coordinated or fully understood. Taken together, these findings highlight the misconceptions related to waste management in construction projects and emphasise the necessity of collective responsibility on the part of project participants to enhance the performance of waste management in construction projects.

Exploring the influences on requirements engineering during global software development

Through an interpretive study of global virtual teams, this research has explored the influences on the requirements engineering processes during global software development. Complex layers of explicit and implicit elements in the project environment, including systems methodology, project steering, management commitment and cultural differences, were found to influence these processes.

Observation-switching linear dynamic systems for tracking humans through unexpected partial occlusions by scene objects

This paper focuses on the problem of tracking people through occlusions by scene objects. Rather than relying on models of the scene to predict when occlusions will occur as other researchers have done, this paper proposes a linear dynamic system that switches between two alternatives of the position measurement in order to handle occlusions as they occur. The filter automatically switches between a foot-based measure of position (assuming z = Q) to a head-based position measure (given the person's height) when an occlusion of the person's lower body occurs. No knowledge of the scene or its occluding objects is used. Unlike similar research [2, 14], the approach does not assume a fixed height for people and so is able to track humans through occlusions even when they change height during the occlusion. The approach is evaluated on three furnished scenes containing tables, chairs, desks and partitions. Occlusions range from occlusions of legs, occlusions whilst being seated and near-total occlusions where only the person's head is visible. Results show that the approach provides a significant reduction in false-positive tracks in a multi-camera environment, and more than halves the number of lost tracks in single monocular camera views.

Techno-literacy and learning in blended, multicultural course environments

For the last two decades, higher education institutions have been actively engaged in the use of online technology with the aim of transforming the way we teach and learn to improve students’ learning experiences and outcomes. However, despite significant investment in infrastructure and training and a wide-scale uptake of such technologies, the promised transformative effect on student learning is yet to be actualised outside of small pockets of innovation. In this paper, we argue that one of the factors contributing to lack of qualitative large-scale transformation is students’ lack of preparedness and experience in using online tools for learning purposes. Drawing on an ethnographic study of culturally diverse computing students and teachers within learning environments that blend online and face-to-face pedagogies, we argue that, although contemporary university students are largely operationally literate when using online learning tools, they often lack the cultural and critical skills required to use such technologies in a meaningful way to support powerful learning. We argue that, for online learning technologies to transform learning, students need to be supported to develop these higher order techno-literacy skills.

Reproduction game demo

An 8 screen stereoscopic 3D Multi-user environment set in a circular formation. Paticipants are tracked by 8 kinect sensors as they move around the 360 degree installation. Participants inherit a species upon entering. Artificial Life based entities cluster towards the human particpants of their species and their songs evolve according to the interactions.

QuickTime multi-track theatricks

Digital media, corporate database applications and intranets provide efficient ways to create, store and deliver information and educational services. However some academics perceive new workload and other constraints eroding the potency of these technologies. Proposed corporate level information management systems for digital objects and their metadata are new complexities entering academicsÕ thoughts about using online multimedia.

Few staff understand digital multimedia concepts and fewer still, the systems designed to deal with IP management, copyright law compliance and the tracking of digital resource creation processes. Faltering staff enthusiasm warns of their need to experience working models and tangible benefits from these new directions. A project in Deakin's Faculty of Education provides a case study showing how QuickTime is helping academics understand, and increase their use of, multimedia in e-learning environments with an integrated library of digital resources with metadata.

We also report our experience of QuickTime in creating interactive learning objects using multi-tracks. We discuss our idea of theatricks as a performance drawcard - people will come! There is orchestration of multimedia and QuickTime conducts the events, its flexible functionalities providing a safer development environment for solving problems and grasping opportunities.

While difficult for some academics to comprehend, scripting automation and database connectivity through intelligent interfaces might facilitate QuickTime's use in building integrated learning environments with academics. These ideas are considered in relation to staff development, central to the case study project.

Ecommerce strategy in a multi-sector trading environment - quandaries for SMEs

For nearly a decade the potential benefits of Business-to-Business electronic commerce for business efficiency and competitiveness have been vigorously promoted by business, industry groups and governments. The belief underpinning policy is that from a small initial step, eCommerce will become a central part of their business strategies. This paper considers the use of B-2-B electronic transactions by SME suppliers who trade with buyer companies across diverse industry sectors in Australia. We investigate the links between their business strategies and their views of electronic trading. A survey of 240 crosssector suppliers nationwide found little evidence that electronic trading was integrated with their overall business strategy. We suggest an approach to the understanding of cross-sector electronic trading strategies that emphasises the complex, inter-connected but fragmented trading milieu rather than describing the balance between drivers and barriers that operate for the individual firm.