Producing a GIS based multiple criteria analysis tool for regional sustainability assessment: the problem of weighting

Decision support tools will be useful in guiding regions to sustainability. These need to be simple but effective at identifying, for regional managers, areas most in need of initiatives to progress sustainability. Multiple criteria analysis (MCA) is often used as a decision support tool for a wide range of applications. This method allows many criteria to be considered at one time. It does this by giving a ranking of possible options based on how closely each option meets the criteria. Thus, it is suited to the assessment of regional sustainability as it can consider a number of indicators simultaneously and demonstrates how sustainability can vary at small scales across the region. Coupling MCA with GIS to produce maps, allows this analysis to become visual giving the manager a picture of sustainability across the region. To do this each indicator is standardised to a common scale so that it can be compared to other indicators. A weighting is then applied to each indicator to calculate weighted summation for each area in the region. This paper argues that this is the critical step in developing a useful decision support tool. A study being conducted in south west Victoria demonstrates that the weights chosen can have a dramatic impact on the results of the sustainability assessment. It is therefore imperative that careful consideration be given to determining indicator weights in a way that is objective and fully considers the impact of that indicator on regional sustainability.

Impossible triangles: flat actors in telematic theatre

In fact, in this scene, both A and B are online. A is in a classroom at the University of Amsterdam in The Netherlands, and B is in a television studio at Deakin University in Melbourne, Australia. The two locations are connected through video conference and, in each space, a local audience watches the local performer in the room, and the remote performer projected on a screen. The performers are captured in profile, and appear to be looking at computer screens in front of them but cannot actually see one another. The text is consciously banal, composed to replicate the broken rhythms and sequences, flattened tone and repetitions of scrolling words in a text box on a screen. Information about presence and absence (A or B is offline or online) is spoken as text. Although the two performers speak in accents that declare their different language/ cultures, the vernacular is generic 'internetslang'. The relatively monotonous and unpunctuated delivery of the textual rhythms is interrupted and counterpointed by a sound lag of nearly a second, and by a faint audio echo as one voice 'lands' in the second location. Its orchestration allows the sound fracture and dispersal in some moments. In other moments, the actors anticipate or absorb the gaps in transmission, driving the speech rhythms through so that the utterance 'arrives' precisely at the end of the prompt line.

Extending light-weighting and mass-production of ultra high strength steels via condition-based maintenance

The use of ultra high strength steels (UHSS) in the automotive industry presents a significant opportunity for continued vehicle light-weighting, due to possible strength-to-weight improvements of three to four times that of conventional sheet steel grades. This performance benefit is achievable whist maintaining most of the advantages of low-cost mass-production associated with the cold stamping of sheet steel for automotive body components. However, the introduction of UHSS can result in significantly increased wear of the stamping tools, which is difficult to predict at the design stage and can lead to unexpected process failure during mass-production. Therefore, there is a need to be able to monitor and predict the onset of severe wear, such that the best course of condition-based maintenance can be scheduled and unscheduled stoppages due to tool wear eradicated. This paper describes a novel active monitoring system that is being developed by researchers at Deakin University, The Australian National University and Ford Motor Company, Asia Pacific and Africa. The aim of the active monitoring system is to detect the initial onset of a change of state, such as wear, through the measurement of variables such as punch force and audio signals. A semi-industrial stamping process, using a progressive die setup and high strength steel sheet with hardened tool steel tooling, is the experimental basis for the initial model and system development.

Supporting business intelligence usage: an integrated framework with automatic weighting

This paper presents an integrated framework that comprises an automatic weighting method for assessing data quality (DQ) of the framework so as to better support the business intelligence (BI) usage. Specifically, we utilize business process modeling (BPM) notation and information product map and frame them into a hierarchical mapping structure. Furthermore, we develop and demonstrate an automatic weight-assignment method for evaluating critical dimensions (i.e., completeness and accuracy) of DQ of the integrated framework. Through a design science paradigm, the effectiveness of the framework and the associated DQ weighting method has been rigorously validated by faculty management users of a university. The framework together with the DQ weighting method builds user confidence by enhancing the traceability of a BI product. The automatic DQ weight assignment also provides better time efficiency because the weight of each data attribute is determined automatically based on its usage on the BI dashboard.

Using geometric shape variations to create an inverse model for a sheet metal process

The output of the sheet metal forming process is subject to much variation. This paper develops a method to measure shape variation in channel forming and relate this back to the corresponding process parameter levels of the manufacturing set-up to create an inverse model. The shape variation in the channels is measured using a modified form of the point distribution model (also known as the active shape model). This means that channels can be represented by a weighting vector of minimal linear dimension that contains all the shape variation information from the average formed channel.

The inverse models were created using classifiers that related the weighting vectors to the process parameter levels for the blank holder force (BHF), die radii (DR) and tool gap (TG) of the parameters. Several classifiers were tested: linear, quadratic Gaussian and artificial neural networks. The quadratic Gaussian classifiers were the most accurate and the most consistent type of classifier over all the parameters.

Authenticity in assessment : reflecting undergraduate study and professional practice

The literature suggests that assessment is a powerful tool for influencing student study habits. It is also recognized that there is a tension between traditional forms of assessment and newer forms of assessment that offer a more authentic representation of practice, but are more complex and expensive to administer. The international trend in undergraduate engineering course accreditation to move to demonstration of attainment of graduate attributes poses new challenges in assessment of learning. A case study based on integrating assessment practices across the year levels of an engineering management studies stream in an undergraduate course is presented. Key features of the assessment portfolio include: the use of assessment in the first year as a foundational tool to establish student study habits and skills; the evolution of assessment tasks by the fourth year to reflect the world of professional practice and to allow students to demonstrate their integration of knowledge and skills; the weighting of assessment tasks to indicate the value attached to particular tasks; the structured inclusion of group work; a concern for student and staff workloads; the recognition of student diversity, in particular the needs of off-campus and mature-age students; and the matching of assessment tasks to professional accreditation requirements.

Using an IDMI methodology to make multi-criteria decisions

Multi-criteria decisions usually require measurement or evaluation of performance in different units and their mix by application of weighting factors. This approach leads to potential manipulation of the results as a direct consequence of the applied weightings. In this paper a mechanism has been proposed to overcome this problem. It is known as the : Interlink Decision Making Index (IDMI) and has all the desired features: simple, interlink (all criteria) and automatically and quantified influence of critical criteria (i.e. no human weighting needed). The IDMI is capable of reflecting the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria (CC) have been chosen. Then, without arbitrarily weighting criteria, comparison and selection of the best possible option can be made. Simple software has been developed to do this numerical transfer and graphic presentation. Two hypothetical examples are presented in the paper to demonstrate the application of the IDMI concept and its advantages over the traditional "tabular and weighting method" in the decision making process.

Establishing best-practice principles for the teaching of group design projects

As student-to-staff ratios escalate, increasing numbers of undergraduate architects are finding the reduction of ‘one-to-one’ studio supervision an impediment to learning. Group design projects are becoming a widespread solution to this problem. However, little analysis has been undertaken as to their effectiveness both in terms of student assessment and as a design teaching methodology.
The two hundred years of apprentice/master tradition that underpins the atelier studio system is still at the core of much present day architectural design education. Yet this tradition today poses uncertainties for a large number of co-ordinating lecturers faced with current changes in the nature of tertiary education and its funding structure. In particular, with reductions in staff/student contact time, in sessional funding sources and in the relative weighting of design-based subjects with respect to other subject areas, many design teachers are finding it increasingly difficult to maintain an atelier system that has shaped both their learning and, more pointedly, their teaching. If these deficiencies remain unchecked and design-based schools are unable to implement strategies that successfully overcome the resource intensive one-to-one teaching program, then architecture may prove to be an untenable course structure for many institutions.
Rather then spreading their time thinly, many co-ordinating lecturers are setting group projects in order to review less assignments but at greater depth. However, while this learning model better reflects design teams in practice, this approach may pose other pedagogical and assessment questions. What is clear is the urgent need for structured research into the teaching and assessment problems experienced by design teachers, and for a readily adoptable pedagogy for group design projects. At Deakin University, research is underway aimed at establishing best-practice principles for group design projects by analysing students’ performance and recording and implementing their feedback to adjustments made to the pedagogical fundamentals of assessment, group configuration, and program structure. There are after two years of preliminary studies already clear indications of what changes can be made to these to encourage more effective team learning. This paper will present the findings of these studies.

Robust terminal attitude navigation for autonomous vehicles

Here we define the terminal attitude of the pursuer with respect to a target and present a LQR and H¿ control approach to solving the problem of pursuer achieving a desired terminal attack/approach angle. The intercept or engagement criteria is defined in terms of both minimizing the miss distance and controlling the pursuer's body attitude with respect to the target at the terminal point. This approach in comparison to previous approaches consider the relativistic approach of the pursuer with respect to the target as opposed the absolute velocities of the two dynamic bodies, and have possible applications ranging from autonomous vehicle entry in to a mother craft to nossle engagements in on-flight refuelling or even in precision missile guidance. Here we also suitably formulate the H¿ control ideas directly applicable to the underlying problem and presents both state feedback and output feed back results for the case of finite horizon and non-zero initial conditions together with a optimal parameter value to achieve a desired terminal characteristic in terms of the original weighting parameters.

On the effect of path loss rates on the optimal receiver position in sensor networks

In this paper we examine the problem of finding an optimal position for a receiver node in a single-hop sensor network. The basic idea is to minimize the network energy consumption according to a particular network cost function. Our contribution is to simply show the effect of signal path loss rates and sensor weighting on the optimal receiver position.

Empirical generalisation as an inadequate cognitive scaffold to theoretical generalisation of a more complex concept

The impact of prior learning on new learning is highlighted by the case of Dean, a Year 8 student who developed his own method to find the sum of the interior angles of a polygon without knowing why his method worked. Enriched transcripts and visual displays of the cognitive, social (Dreyfus, Hershkowitz, & Schwarz, 2001) and affective elements (Williams, 2002) of Dean's interrupted abstraction process informed the identification of factors that inhibited Dean's constructing process. It was found Dean possessed an empirical, not theoretical, generalization (Davydov, 1990) about sums of interior angles of triangles that was an inadequate cognitive artifact for constructing the new more complex theoretical generalization. The study suggests use of tasks designed with the opportunity develop assumed knowledge in conjunction with new concepts.

Fitting ST-OWA operators to empirical data

The OWA operators gained interest among researchers as they provide a continuum of aggregation operators able to cover the whole range of compensation between the minimum and the maximum. In some circumstances, it is useful to consider a wider range of values, extending below the minimum and over the maximum. ST-OWA are able to surpass the boundaries of variation of ordinary compensatory operators. Their application requires identification of the weighting vector, the t-norm, and the t-conorm. This task can be accomplished by considering both the desired analytical properties and empirical data.

Assessment of wilderness quality using the analytic hierarchy process

Wilderness is a unique environmental resource that provides a multitude of use and non-use benefits. The use and management of wilderness depend on the assessment of wilderness quality. Current wilderness assessment in Australia is based on two broad criteria, the remoteness and naturalness of the wilderness, determined using geographic information systems. This paper discusses a complementary assessment method using the Analytic Hierarchy Process (AHP). The AHP can be used to incorporate additional criteria, such as social and cultural criteria, to improve the quality of wilderness assessment. It provides a flexible and compatible method for large-scale wilderness assessments with multiple criteria. The weighting factors for the different criteria can be obtained from expert panels and focus groups.

Interlink decision making index (IDMI) -- a simple tool/concept to assist decision making for sustainability Part 1: definition of IDMI

There is an apparent gap between the LCA or other assessment's outcomes and its effective application in the decision making process. It is needed to provide to the decision makers a simple, less human interfered mechanism that integrates all the key criteria (environmental, economic, technical and safety etc.). The proposed index: Interlink Decision Making Index (IDMI) has all these features: simple, interlink (all criteria) and automatically and quantified influence of critical criteria (ie. no human weighting needed) and is able to assist the multi-criteria decision making for sustainability based on the outcomes of specific assessments (eg. LCA, ElA etc.). The index represents a pure numerical value and does not necessarily have any physical meanings, but it reflects the total merits of a particular option once the normal decision making criteria and (up to two) critical criteria (CC) have been chosen. Then, without arbitrarily weighting process, the comparison and selection of the best possible option, ie. decision can be made based on the derived IDMI results. Two hypothetical examples are presented in part 2 of the paper to demonstrate the application of the IDMI concept and it's differences with the traditional "tabular method" in the decision making process.