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Full-Text Articles in Physical Sciences and Mathematics

Importance Of Verification And Validation Of Data Sources In Attaining Information Superiority, Gautham Kasinath, Leisa Armstrong Feb 2012

Importance Of Verification And Validation Of Data Sources In Attaining Information Superiority, Gautham Kasinath, Leisa Armstrong

Leisa Armstrong

Information superiority has been defined as a state that is achieved when a competitive advantage is derived from the ability to exploit a superior information position. To achieve such a superior information position enterprises and nations, alike, must not only collect and record correct, accurate, timely and useful information but also ensure that information recorded is not lost to competitors due to lack of comprehensive security and leaks. Further, enterprises that aim to attain information superiority must also ensure mechanisms of validating and verifying information to reduce the chances of mis-information. Although, research has been carried out into ways to …


The Role Of An Online Community To Support Overweight Adolescents: A Survey Of Australian Healthcare Professionals. Research In Progress, Leisa Armstrong, Rachel Mahncke Feb 2012

The Role Of An Online Community To Support Overweight Adolescents: A Survey Of Australian Healthcare Professionals. Research In Progress, Leisa Armstrong, Rachel Mahncke

Leisa Armstrong

In Australia, as in other developed countries, there is au increasing trend of obesity in children and adolescents. Research studies indicate that technology may be a contributing factor to this epidemic and that behavioural change may be a significant solution. One route of inquiry identified as potentially beneficial is that of the development of online communities for children and adolescents to discuss issues such as obesity to contribute to behavioural change. This research outlined in this paper aims to determine if such an online community is feasible and potentially effective to contribute to the changes required. A survey of health …


Applying Data Mining Techniques In The Selection Of Plant Traits, Dean Diepeveen, Leisa Armstrong Feb 2012

Applying Data Mining Techniques In The Selection Of Plant Traits, Dean Diepeveen, Leisa Armstrong

Leisa Armstrong

In the agricultural sector, farmers are provided with crop related information by various research agencies in order to make critical decisions about which is the most profitable crop variety choice. Research agencies provide information which is generic, rather than being tailored to the individual farmers cropping situation. A number of specific plant and growth traits are used to establish the most suitable crop varieties. When selecting crop varieties for release to growers, the application of data mining techniques to crop research data enables the customization of information to each individual farmers farming situation. The challenge for agricultural research perspective is …


A Wrapper-Based Feature Selection For Analysis Of Large Data Sets, Jinsong Leng, Craig Valli, Leisa Armstrong Feb 2012

A Wrapper-Based Feature Selection For Analysis Of Large Data Sets, Jinsong Leng, Craig Valli, Leisa Armstrong

Leisa Armstrong

Knowledge discovery from large data sets using classic data mining techniques has been proved to be difficult due to large size in both dimension and samples. In real applications, data sets often consist of many noisy, redundant, and irrelevant features, resulting in degrading the classification accuracy and increasing the complexity exponentially. Due to the inherent nature, the analysis of the quality of data sets is difficult and very limited approaches about this issue can be found in the literature. This paper presents a novel method to investigate the quality and structure of data sets, i.e., how to analyze whether there …


Application Of A Data Mining Framework For The Identification Of Agricultural Production Areas In Wa , Yunous Vagh, Leisa Armstrong, Dean Diepeveen Feb 2012

Application Of A Data Mining Framework For The Identification Of Agricultural Production Areas In Wa , Yunous Vagh, Leisa Armstrong, Dean Diepeveen

Leisa Armstrong

This paper will propose a data mining framework for the identification of agricultural production areas ill WA. The data mining (DM) framework was developed with the aim of enhancing the analysis of agricultural datasets compared to currently used statistical methods. The DM framework is a synthesis of different technologies brought together for the purpose of enhancing the interrogation of these datasets. The DM framework is based on the data, information, knowledge and wisdom continuum as a horizontal axis, with DM and online analytical processing (OLAP) forming the vertical axis. In addition the DM framework incorporates aspects of data warehousing phases, …


C-Commerce Innovation: Unravelling The Effects Of Knowledge Ties On Embedded Network Structure, Mark Brogan, Leisa Armstrong Feb 2012

C-Commerce Innovation: Unravelling The Effects Of Knowledge Ties On Embedded Network Structure, Mark Brogan, Leisa Armstrong

Leisa Armstrong

Relative to other nations, economically significant activity in Australia and New Zealand is skewed toward micro and small business. Issues of scale and- access to resources and expertise, suggest issues for Australian and New Zealand SMEs seeking to compete in the era of the global Internet economy. Collaborative, or so-called C-commerce, has arisen as a concept and key enabler for clustering of SMEs to secure resource advantage and to promote global competitiveness. Through the lens of a C-commerce case study in tourism, this paper explores network/actors that impinge upon C-commerce innovation in an SME setting. The paper demonstrates the usefulness …


The Application Of Data Mining Techniques To Characterize Agricultural Soil Profiles, Leisa Armstrong, D Diepeveen, R Maddern Feb 2012

The Application Of Data Mining Techniques To Characterize Agricultural Soil Profiles, Leisa Armstrong, D Diepeveen, R Maddern

Leisa Armstrong

The advances in computing and information storage have provided vast amounts of data. The challenge has been to extract knowledge from this raw data; this has lead to new methods and techniques such as data mining that can bridge the knowledge gap. This research aimed to assess these new data mining techniques and apply them to a soil science database to establish if meaningful relationships can be found. A large data set extracted from the WA Department of Agriculture and Food (AGRIC) soils database has been used to conduct this research. The database contains measurements of soil profile data from …


Websites Recommended By Australian Healthcare Practitioners' For Use By Overweight And Obese Adolescents, Rachel Mahncke, Leisa Armstrong Feb 2012

Websites Recommended By Australian Healthcare Practitioners' For Use By Overweight And Obese Adolescents, Rachel Mahncke, Leisa Armstrong

Leisa Armstrong

The general public are increasingly using the Internet to access information to assist in making health related decisions. Given this user demand for electronic health (e-health) technologies, there is a new area of preventative self-care applications emerging globally. E-health is the use of the Internet, mobile devices and other electronic technologies to deliver health care services through “teaching, monitoring (e.g. physiological data), and interaction” (Eysenbach, 2001; Oh, Rizo, Enkin & Jadad, 2005). An area of e-health of interest to this research is in regards to diet and exercise, as well as the ability to provide ongoing online support. Such e-health …


An Evaluation Of Methodologies For Eagriculture In An Australian Context, Leisa Armstrong, Dean Diepeveen Feb 2012

An Evaluation Of Methodologies For Eagriculture In An Australian Context, Leisa Armstrong, Dean Diepeveen

Leisa Armstrong

Australian agricultural producers’ profits are dependent on the decisions they make about farm productivity systems. They may use recommendations and information provided by government agencies and private consultants. For cereal growers, success is dependent on decisions made about selection of crop varieties suitable for their agronomic and climatic conditions. This paper reports on research which aimed to evaluate some current eAgriculture methodologies for their application in the Western Australian agricultural industry. In particular the paper illustrates the findings from a project which aimed to explain the variability seen in crop varieties grown in Western Australia. The problems associated with crop …


Securing J2me Mobile Application Api Using Xacml, Gautham Kasinath, Leisa Armstrong Feb 2012

Securing J2me Mobile Application Api Using Xacml, Gautham Kasinath, Leisa Armstrong

Leisa Armstrong

Following Moore's law, the numbers of mobile phones and their capabifities have increased exponentially in recent years. The platform of choice for running applications on resource constrained devices such as mobile phones, today, is the Java 2 Micro Edition (J2ME) with Connected Limited Device Configuration (CLDC). This popularity exposes the security risks. These risks include the loss of data, money and privacy. Means of securing mobile phones and communication have been weI! researched and models have been proposed, based on their success on desktop computers. However, little has been done to explore and correct inherent flaws and possible vulnerabilities in …


Empowering International And Culturally Diverse Honours And Project Students Through Mentoring Activities, Leisa Armstrong, Sundrakanthi Singh Feb 2012

Empowering International And Culturally Diverse Honours And Project Students Through Mentoring Activities, Leisa Armstrong, Sundrakanthi Singh

Leisa Armstrong

This paper reports on an initiative to develop a successful school based student mentoring program in the context of a Computer Science based school which has a high proportion of international and culturally diverse student population. A review of literature was made of three areas of research related to mentoring and peer support. This provided evidence for the role of mentoring and peer support in empowering student learning, with particular emphasis on how mentoring can provide both social and academic support; on the role of mentoring in different contexts; within the Computer Science field and within an international and culturally …


Introducing A New Technology To Enhance Community Sustainability: An Investigation Of The Possibilities Of Sun Spots, Suppachart Tantisureeporn, Leisa Armstrong Feb 2012

Introducing A New Technology To Enhance Community Sustainability: An Investigation Of The Possibilities Of Sun Spots, Suppachart Tantisureeporn, Leisa Armstrong

Leisa Armstrong

The introduction of the Sun SPOT, Small Programmable Object Technology, developed by Sun Microsystems has been depicted as providing a revolutionary change in cyber physical interaction. Based on Sun Java Micro Edition (ME), this sensor technology has the potential to be used across a number of discipline areas to interface with systems, the environment and biological domains. This paper will outline the potential of Sun SPOTs to enhance community sustainability. An action based research project was carried out to investigate the potential uses of these technologies and develop a prototype system as a proof of concept. The research will compare …


Network Engineering For C-Commerce Innovation: The Role Of Trust, Mark Brogan, Leisa Armstrong Feb 2012

Network Engineering For C-Commerce Innovation: The Role Of Trust, Mark Brogan, Leisa Armstrong

Leisa Armstrong

The idea that social networks play an important role in knowledge diffusion of innovation has a long pedigree in innovation theory. In his Diffusion of Innovation (DOI) theory, Rogers (1995) argued that in the information network of the organization, managerial champions and opinion leaders could affect both organizational acceptance and also the velocity of adoption of innovation. In Small to Medium Enterprise (SME) C-commerce innovation, the role of such social factors has been understood in terms of ‘embedded network structure’ (Braun, 2003) that impacts on clustering behavior. This article explores the use of quantitative Social Network Analysis (SNA) to model …


Selecting Areas For Land Use Change In A Catchment, Neil Dunstan, Leisa Armstrong, Dean A. Diepeveen Feb 2012

Selecting Areas For Land Use Change In A Catchment, Neil Dunstan, Leisa Armstrong, Dean A. Diepeveen

Leisa Armstrong

Some farming areas in Australia have been degraded by agricultural practices that result in rises in the water table that bring salt to the surface and reduce the quality of runoff water and the yield from pasture and crops. There is a need for a balanced choice of land uses that can reduce the salinity problem. A framework is proposed that uses catchment data and a hydrology model to predict areas with high rates of recharge and to identify sites for land use change.


An Eagriculture-Based Decision Support Framework For Information Dissemination, Leisa Armstrong, Dean Diepeveen, Khumphicha Tantisantisom Feb 2012

An Eagriculture-Based Decision Support Framework For Information Dissemination, Leisa Armstrong, Dean Diepeveen, Khumphicha Tantisantisom

Leisa Armstrong

The ability of farmers to acquire knowledge to make decisions is limited by the information quality and applicability. Inconsistencies information delivery and standards/or the integration o/information also limit decision making processes. This research uses a similar approach to the Knowledge Discovery in Databases (KDD) methodology to develop an ICT based framework which can be used to facilitate the acquisition of knowledge for farmer's' decision making processes. This is one of the leading areas of research and development for information technology in an agricultural industry, which is yet to utilize such technologies fully. The Farmer Knowledge and Decision Support Framework (FKDSF) …


An Information-Based Decision Support Framework For Eagriculture, Leisa Armstrong, Dean Diepeveen Feb 2012

An Information-Based Decision Support Framework For Eagriculture, Leisa Armstrong, Dean Diepeveen

Leisa Armstrong

The ability of farmers to acquire knowledge to make decisions is limited by the information quality and applicability. An inconsistency in information delivery and standards for the integration of information also limits the decision making process. Knowledge Discovery in Databases (KDD) methodology described for the data mining is an example of how frameworks can be used to facilitate such data integration. This research will examine how such a ICT based framework can be used to facilitate the acquisition of knowledge for the farmer decision making process. The Farmer Knowledge and Decision Support Framework (FKDSF) takes information provided to farmers and …


Analysis Of Pki As A Means Of Securing Odf Documents, Gautham Kasinath, Leisa Armstrong Feb 2012

Analysis Of Pki As A Means Of Securing Odf Documents, Gautham Kasinath, Leisa Armstrong

Leisa Armstrong

Public Key Infrastructure (PKI) has for the last two decades been a means of securing systems and communication. With the adoption of Open Document Format (ODF) as an ISO standard, the question remains if the unpopular, expensive, complex and unmaintainable PKI can prove to be a viable means of securing ODF documents. This paper analyses the drawbacks of PKI and evaluates the useji.tlness of PKl in provisioning robust, cheap and maintainable XML security to XML based ODF. This paper also evaluates the existing research on XML security, more specifically fine grained access control.