Open Access. Powered by Scholars. Published by Universities.®
- Institution
Articles 1 - 6 of 6
Full-Text Articles in Entire DC Network
Elements Of Human Decision-Making, Jens G. Pohl
Elements Of Human Decision-Making, Jens G. Pohl
Collaborative Agent Design (CAD) Research Center
The purpose of this paper is to present some understandings of the human problem-solving activity that we have gained in the Collaborative Agent Design Research Center (CADRC) over the past two decades. Since we feel strongly that the human decision-maker should be an integral component of any computer-based decision-support system, it follows that we would have endeavored to incorporate many of the elements that appear to be important to the user in the design of these systems. The complexity of the human cognitive system is evidenced by the large body of literature that describes problem-solving behavior and the relatively fewer …
Engineering A Suburban Ad-Hoc Network, Mike Tyson, Ronald D. Pose, Carlo Kopp, Mohammad Rokonuzzaman, Muhammad Mahmudul Islam
Engineering A Suburban Ad-Hoc Network, Mike Tyson, Ronald D. Pose, Carlo Kopp, Mohammad Rokonuzzaman, Muhammad Mahmudul Islam
Australian Information Warfare and Security Conference
Networks are growing in popularity, as wireless communication hardware, both fixed and mobile, becomes more common and affordable. The Monash Suburban Ad-Hoc Network (SAHN) project has devised a system that provides a highly secure and survivable ad-hoc network, capable of delivering broadband speeds to co-operating users within a fixed environment, such as a residential neighbourhood, or a campus. The SAHN can be used by residents within a community to exchange information, to share access to the Internet, providing last-mile access, or for local telephony and video conferencing. SAHN nodes are designed to be self-configuring and selfmanaging, relying on no experienced …
Effect Of Changing Requirements: A Tracking Mechanism For The Analysis Workflow, Subhajit Datta, Robert Van Engelen
Effect Of Changing Requirements: A Tracking Mechanism For The Analysis Workflow, Subhajit Datta, Robert Van Engelen
Research Collection School Of Computing and Information Systems
Managing the effects of changing requirements remains one of the greatest challenges of enterprise software development. The iterative and incremental model provides an expedient framework for addressing such concerns. This paper presents a set of metrics - Mutation Index, Component Set, Dependency Index - and a methodology to measure the effects of requirement changes in the analysis workflow from one iteration to another. Results from a sample case study are included to highlight a usage scenario. Future directions of our work based on this mechanism are also discussed.
Crosscutting Score: An Indicator Metric For Aspect Orientation, Subhajit Datta
Crosscutting Score: An Indicator Metric For Aspect Orientation, Subhajit Datta
Research Collection School Of Computing and Information Systems
Aspect Oriented Programming (AOP) provides powerful techniques for modeling and implementing enterprise software systems. To leverage its full potential, AOP needs to be perceived in the context of existing methodologies such as Object Oriented Programming (OOP). This paper addresses an important question for AOP practitioners - how to decide whether a component is best modeled as a class or an aspect? Towards that end, we present an indicator metric, the Crosscutting Score and a method for its calculation and interpretation. We will illustrate our approach through a sample calculation.
The Design And Analysis Of Multi-Phase Plant Breeding Experiments, A B. Smith, P Lim, Brian R. Cullis
The Design And Analysis Of Multi-Phase Plant Breeding Experiments, A B. Smith, P Lim, Brian R. Cullis
Faculty of Informatics - Papers (Archive)
Despite the importance of selection for quality characteristics in plant improvement programmes, literature on experimental design and statistical analysis for these traits is scarce. Most quality traits are obtained from multi-phase experiments in which plant varieties are first grown in a field trial then further processed in the laboratory. In the present paper a general mixed model approach for the analysis of multi-phase data is described, with particular emphasis on quality trait data that are often highly unbalanced and involve substantial sources of non-genetic variation and correlation. Also detailed is a new approach for experimental design that employs partial replication …
On The Design Of Early Generation Variety Trials With Correlated Data, Brian R. Cullis, A B. Smith, N. E. Coombes
On The Design Of Early Generation Variety Trials With Correlated Data, Brian R. Cullis, A B. Smith, N. E. Coombes
Faculty of Informatics - Papers (Archive)
This article considers the design of early generation variety trials with a prespecified spatial correlation structure and introduces a new class of partially replicated designs called p-rep designs in which the plots of standard varieties are replaced by additional plots of test lines. We show how efficient p-rep designs can be readily generated using the modified Reactive TABU search algorithm. The expected and realized genetic gain of p-rep and grid plot designs is compared in a simulation study.