A contract-based system for aerospace aftercare

The logistics of the aerospace aftermarket raises a number of very interesting challenges from the perspective of electronic contracting. This is a highly dynamic domain, where contracts are established between airlines and engine manufacturers, as well as between engine manufacturers all the way down the supply lines, providing a particularly illustrative showcase for the technologies developed in the CONTRACT project. In this paper, we describe such a domain, as well as our modelling of it as a multiagent simulator where the CONTRACT framework has been used to monitor for compliance with norms.

Knowledge based optimisation techniques for sheet metal forming die design

A knowledge based optimism technique has been developed to predict solutions for quality issues found in an initial draw die design. Post processing of the initial design yields all the features applying forces, and major quality issues. Using the geometric relationship between the two, a knowledge-base is interrogated to determine the possible corrective actions. These actions are then passed through a fast semi-analytical model to determine the level of change required. Results from a 2D forming are presented to highlight the advantage of the new algorithms over current optimisation techniques.

A ring-based architectural model for middle agents in agent-based system

In agent-based systems, the performance of middle agents not only relies on the matchmaking algorithms employed by them, but also the architecture that organizes them with suitable organizational structure and coordination mechanism. In this paper, we contribute a framework and develop a couple of middle agents with logical ring organizational structure to match requester agents with service provider agents. The middle agent is of the features of proliferation and self-cancellation according to the sensory input from its environment. The token-based coordination mechanism of middle agents is designed. Two kinds of middle agents, namely, host and duplicate, are designed for promoting the scalability and robustness of agent-based systems. We demonstrate the potentials of the architecture by case study.

The availability of information in knowledge-based economies

The use of information is preceded by its availability. For post-industrial economies to exploit information to full potential it is important for knowledge to be free of vested-interest censorship and manipulation. History suggests that a range of vested-interests have manipulated explicit> information availability through various forms of sectarian, state and business manipulation of the systems of information storage and transfer. The OECD 1996 report "The Knowledge-Based Economy" recognized that the diffusion of knowledge was as significant as its creation, and that knowledge distribution networks were crucial to innovation, production processes and product development. The success of enterprises and national economies is considered reliant on the effectiveness of their ability to gather, distribute and utilize knowledge. The increasing need for ready access (of information that might become knowledge) in accordance with the OEDC definition is particularly relevant to this paper as it assumes infrastructures capable of providing that need. Wherever there are infrastructures there are opportunities to benefit from them, either for profit or power. This paper considers the implications of sectarian, state and business-model control over the selective content, storage and dissemination of information and knowledge, both from historical and current perspectives. The advent of new technologies and how they have enabled the flow of information adds new dimensions to knowledge control but the quality of knowledge is less certain and who controls or influences distribution of knowledge less transparent. It could be argued that at each step in the development of knowledge distribution networks, knowledge and its distribution, is not free of the possibility of third-party vested interest.

The application of a fuzzy rule based system in an exposition of the antecedents of sedge warbler song flight

The utilization of a fuzzy aspect within data analysis attempts to move from a quantitative to a more qualitative investigative environment. As such, this may allow the more non-quantitative researchers results they can use, based on sets of linguistic terms. In this paper an inductive fuzzy decision tree approach is utilized to construct a fuzzy-rule-based system for the first time in a biological setting. The specific biological problem considered attempts to identify the antecedents (conditions in the fuzzy decision rules) which characterize the length of song flight of the male sedge warbler when attempting to attract a mate. Hence, for a non-quantitative investigator the resultant set of fuzzy rules allows an insight into the linguistic interpretation on the relationship between associated characteristics and the respective song flight duration.

The mediatization of the knowledge based economy : an Australian field based account

This paper presents an empirical account of mediatization from a Bourdieuian perspective, based on the development of a number of new concepts, such as cross-field effects and the rescaling of such effects as linked to processes of globalization. Built on an Australian empirical case relating to educational policy and the knowledge based economy, this paper argues that mediatization can be understood in relation to the cross-field effects of different fields of journalism on subsequent fields, which have their genesis in forms of practice that cross different social fields. Specifically, the case analysis details interactions between the field of print journalism and the field of policy over the course of an Australian science capability review, chaired by the then chief scientist, Dr Robin Batterham, which led to Australia adopting a national version of the knowledge economy. The empirical case also leads us to consider the impact of both global and national fields of journalism on fields of educational policy in relation to mediatization.

A societal knowledge management system : harnessing indigenous wisdom to build sustainable predictors for adaptation to climate change

As the climate changes globally time-honoured climate in a region may change and shift to another region. Consequently, local predictors of climate may no longer apply to the area where they were born, but may be invaluable in new regions where previously reliable predictors have become outmoded This paper is set on the proposition thaI traditional (indigenous) know/edge can be a strategic source in adapting to climate change, in these changing times. The research reported in this paper takes the Societal Knowledge Management approach where knowledge that rests within local communities, is harnessed to inform local communities and scientists regarding climate change impacts, so as to adapt to them accurately. A phased study was conducted that aimed at acquiring, synthesising and disseminating traditional knowledge regarding change in monsoon patterns in India. Traditional wisdom prevalent among fhe myriad communities of India, was collected, collated and classified into knowledge spheres such as Bio-Indicators, Wind Movement, Atmospheric Pal/ems, Astrological Methods, Festivals and Rituals, Direction, Characteristics of the Rain, Characteristics of Celestial Bodies etc and incorporaled into a knowledge portal, which is the basis for building the Societal Knowledge Management System (SKM). Subsequently, the SKM is to be harmonised with scientific predictors on seasonal weather patterns will allow researchers to identify if the existing indicators and monsoon pattems are subject to change, and if so how. Research in progress is aimed at integrating the knowledge with modern science and disseminating this knowledge through local knowledge centres, at village levels. Furthermore, this study is to be replicated in Australia, by harnessing indigenous knowledge, to build the SKM for Australia that could assist in building a better understanding of the factors that impact the environment, methods of building sustainable predictors for climate and approaches for adapting the climate changes. The research reported is expected to inform policy makers, scientists, governance institutions as well as researchers regarding the applicability of indigenous knowledge in building sustainable predictors for adaptation to climate change in the two countries cited and can be extended into other countries.

Improve construction knowledge management system by using the soft system methodology

The construction industry has a poor record in the management of its knowledge and results into huge wastage of resources and detrimental effect to quality. Research has shown that data and information management system plus knowledge management are a critical part of today's project management practice for construction projects. Few people will deny that 'quality information' and 'useful knowledge' are extremely important to any decision-making. However, the current processes of handling information and knowledge in the construction industry and increasingly costly. One of the major reasons is the nature of this industry is not conducive to good knowledge management and the traditional data/information systems used in the industry has long been critisized. It is very common that information is often duplicated, inconsistent and not current. In turn, making knowledge becomes difficult to manage properly. Project managers have in the past found it very difficult to source and analyse data in order to make sound decisions. This paper is part of a doctoral research project which summarizes three exploratory surveys; namely ERP system, Partnering strategy and Leadership impact of a knowledge management system in a construction company. Those findings are described by using the Soft Systems Methodology (SSM) which later becomes the basis for actions research. SSM is useful to reveal complexities of the knowledge management situations that occur in construction industry. The first stage was to conduct interviews of the different practices in knowledge and reporting process. Then, the SSM rich picture was developed to present the problematic areas including difficulties in inputting data to enable the knowledge platform in place. The research then develops root definition and CATWOE, and a conceptual model was formed. Interviewees were conducted with structured questions to identify prioritized actions and activities that can be undertaken to improve and manage the knowledge platform.

A hybrid graphical password based system

In this age of electronic connectivity, where we all face viruses, hackers, eavesdropping and electronic fraud, there is indeed no time when security is not critical. Passwords provide security mechanism for authentication and protection services against unwanted access to resources. A graphical based password is one promising alternatives of textual passwords. According to human psychology, humans are able to remember pictures easily. In this paper, we have proposed a new hybrid graphical password based system, which is a combination of recognition and recall based techniques that offers many advantages over the existing systems and may be more convenient for the user. Our scheme is resistant to shoulder surfing attack and many other attacks on graphical passwords. This resistant scheme is proposed for small mobile devices (like smart phones i.e. ipod, iphone, PDAs etc) which are more handy and convenient to use than traditional desktop computer systems.

CONBPS : an expert system to improve the efficiency of the construction process

The aim of the research outlined in this paper is to develop a best practice process model for building projects based on the use of an expert system. The CONstruction Best Practice System (CONBPS) focusses on projects which are based on the traditional procurement strategy, using the JCT 80 standard form of contract. The model clearly identifies the sequence of construction activities. It also identifies the roles and responsibilities of the major parties on the building team and the issues within the project cycle, which can prove critical to project success. The system incorporates many user-friendly functions, including the provision of multi-choice icons and the provision of an on-line help function. Besides, it also provides interim and final reports which are used to advise the participants on the success factors that they have ignored and to which aspects they should pay more attention. A framework was initially developed focussing on the whole design process with a full knowledge-based system developed for the Inception Stage. CONBPS can be used as a teaching/learning tool to assist teachers and students to better understand the construction process. Also, it could prove useful to project managers and all the participants in the construction process.