Test strategies on functionally partitioned module-based programmable architecture for base-band processing

A specialised reconfigurable architecture for telecommunication base-band processing is augmented with testing resources. The routing network is linked via virtual wire hardware modules to reduce the area occupied by connecting buses. The number of switches within the routing matrices is also minimised, which increases throughput without sacrificing flexibility. The testing algorithm was developed to systematically search for faults in the processing modules and the flexible high-speed routing network within the architecture. The testing algorithm starts by scanning the externally addressable memory space and testing the master controller. The controller then tests every switch in the route-through switch matrix by making loops from the shared memory to each of the switches. The local switch matrix is also tested in the same way. Next the local memory is scanned. Finally, pre-defined test vectors are loaded into local memory to check the processing modules. This algorithm scans all possible paths within the interconnection network exhaustively and reports all faults. Strategies can be inserted to bypass minor faults

Vertical handover based adaptions for multimedia applications in pervasive systems

This paper proposes an architecture for pervasive computing which utilizes context information to provide adaptations based on vertical handovers (handovers between heterogeneous networks) while supporting application Quality of Service (QoS). The future of mobile computing will see an increase in ubiquitous network connectivity which allows users to roam freely between heterogeneous networks. One of the requirements for pervasive computing is to adapt computing applications or their environment if current applications can no longer be provided with the requested QoS. One of possible adaptations is a vertical handover to a different network. Vertical handover operations include changing network interfaces on a single device or changes between different devices. Such handovers should be performed with minimal user distraction and minimal violation of communication QoS for user applications. The solution utilises context information regarding user devices, user location, application requirements, and network environment. The paper shows how vertical handover adaptations are incorporated into the whole infrastructure of a pervasive system

Understanding service failure and recovery: A customer-based phenomenographic approach

To date, researchers have largely considered service failure and recovery as a combination of individual constructs, often in isolation, rather than viewing failure and recovery holistically. Consequently, our understanding is fragmented. Furthermore, while some attempt has been made to gain a better understanding of service failure and recovery from both the customer and the employee’s perspective (cf. Bitner et al.1990; McColl-Kennedy and Sparks 2003), no study has employed an interpretative perspective that potentially offers a rich, in-depth approach to this important area of research. Given this gap, our paper presents the value of taking a customer-based interpretive approach to obtaining a fuller understanding of the way customers view service failure and recovery. In this paper we report the findings of our phenomenography study of twenty in-depth interviews. Not only do we argue the benefits of adopting this fresh approach to studying service failure and recovery, we also present an innovative conceptual framework derived from our phenomenographic research findings, which has significant theoretical and practical implications.

DR-NEGOTIATE - A system for automated agent negotiation with defeasible logic-based strategies

This paper reports on a system for automated agent negotiation, based on a formal and executable approach to capture the behavior of parties involved in a negotiation. It uses the JADE agent framework, and its major distinctive feature is the use of declarative negotiation strategies. The negotiation strategies are expressed in a declarative rules language, defeasible logic, and are applied using the implemented system DR-DEVICE. The key ideas and the overall system architecture are described, and a particular negotiation case is presented in detail.

Architecture and morphogenesis of grain sorghum, Sorghum bicolor (L.) Moench

Plant architecture has been neglected in most studies of biomass allocation in crops. To help redress this situation for grain sorghum (Sorghum bicolor (L.) Moench), we used a 3D digitiser to measure the dimensions and orientations of vegetative and reproductive structures and derived thermal time-based functions for architectural changes during morphogenesis. Our plants, which were grown in a greenhouse, controlled environment cabinets and the field, covered a large, three-fold, size range when mature. This allowed us to detect some general architectural relationships and to fit morphogenetic functions common across the size range we observed. For example, the relationship between the lengths of successive fully-expanded leaves within a plant was nearly constant for all plants. The lengths of existing leaf blades were accurate predictors of the lengths of up to six subsequently-formed blades in our plants. Similar constant relationships were detected for internode lengths in the panicle and for heights above ground of the collars of successive leaves, even though these traits varied a lot between growth conditions. We suggest that such architectural relationships may be used to link the effect of previous growth conditions to future growth potential, and in that way to predict future partitioning. Our results provide the basis for a preliminary model of sorghum morphogenesis which could eventually become useful in conjunction with crop models by allowing resource acquisition to be related to changes in plant architecture during development. (C) 1999 Elsevier Science B.V. All rights reserved.

GIS/GPS to document increased access to community-based treatment for tuberculosis in Africa

Application of geographic information system (GIS) and global positioning system (GPS) technology in the Hlabisa community-based tuberculosis treatment programme documents the increase in accessibility to treatment after the expansion of the service from health facilities to include community workers and volunteers.

MHCWeb: Converting a WWW database into a knowledge-based collaborative environment

The World Wide Web (WWW) is useful for distributing scientific data. Most existing web data resources organize their information either in structured flat files or relational databases with basic retrieval capabilities. For databases with one or a few simple relations, these approaches are successful, but they can be cumbersome when there is a data model involving multiple relations between complex data. We believe that knowledge-based resources offer a solution in these cases. Knowledge bases have explicit declarations of the concepts in the domain, along with the relations between them. They are usually organized hierarchically, and provide a global data model with a controlled vocabulary, We have created the OWEB architecture for building online scientific data resources using knowledge bases. OWEB provides a shell for structuring data, providing secure and shared access, and creating computational modules for processing and displaying data. In this paper, we describe the translation of the online immunological database MHCPEP into an OWEB system called MHCWeb. This effort involved building a conceptual model for the data, creating a controlled terminology for the legal values for different types of data, and then translating the original data into the new structure. The 0 WEB environment allows for flexible access to the data by both users and computer programs.

Suicidal ideation and suicide attempts as predictors of mental health service use

Objective: To examine the extent to which suicidal ideation and suicide attempts are predictive of service use. Design and setting: The National Survey of Mental Health and Wellbeing considered service utilisation in relation to self-reported mental health problems. Service utilisation was inquired of in relation to hospital-based care (including both specialist mental health and general care settings), as well as consultations with a range of health professionals (both specialist and non-specialist mental health professionals, including psychiatrists, psychologists and general practitioners) on an outpatient basis. Participants: Secondary analysis of self-report data from 10 641 randomly selected Australian adults who participated in the National Survey of Mental Health and Wellbeing in 1997. The key predictor variables were reported suicidal ideation and suicide attempts over the past 12 months. Main outcome measures: Use of services for mental health problems (past 12 months). Results: When considered in isolation, individuals reporting suicidal ideation were more likely to make use of at least one type of service for mental health problems than non-suicidal individuals (OR, 17.3; 95% Cl, 13.2-22.6), and individuals reporting suicide attempts were even more likely to do so (OR, 32.3; 95% CI, 9.0-115.4). In the case of suicidal ideation, this effect remained significant after controlling for a range of potential confounders. For suicide attempts, the effect of mental health service use was no longer significant after other variables were taken into account. Conclusions: Suicidal individuals are likely to make use of services, and a high proportion of suicides may be preventable through appropriate healthcare system responses.

The demise of a planned randomised controlled trial in an urban Aboriginal medical service

To fill a gap in knowledge about the effectiveness of brief intervention for hazardous alcohol use among Indigenous Australians, we attempted to implement a randomised controlled trial in an urban Aboriginal Medical Service (AMS) as a joint AMS-university partnership. Because of low numbers of potential participants being screened, the RCT was abandoned in favour of a two-part demonstration project. Only 16 clients were recruited for follow-up in six-months, and the trial was terminated. Clinic, patient, Aboriginal health worker, and GP factors, interacting with study design factors, all contributed to our inability to implement the trial as designed. The key points to emerge from the study are that alcohol misuse is a difficult issue to manage in an Indigenous primary health care setting; RCTs involving inevitably complex study protocols may not be acceptable or sufficiently adaptable to make them viable in busy, Indigenous primary health care settings; and gold-standard RCT-derived evidence for the effectiveness of many public health interventions in Indigenous primary health care settings may never be available, and decisions about appropriate interventions will often have to be based on qualitative assessment of appropriateness and evidence from other populations and other settings.

An agent-based approach to modelling driver route choice behaviour under the influence of real-time information

This paper presents an agent-based approach to modelling individual driver behaviour under the influence of real-time traffic information. The driver behaviour models developed in this study are based on a behavioural survey of drivers which was conducted on a congested commuting corridor in Brisbane, Australia. Commuters' responses to travel information were analysed and a number of discrete choice models were developed to determine the factors influencing drivers' behaviour and their propensity to change route and adjust travel patterns. Based on the results obtained from the behavioural survey, the agent behaviour parameters which define driver characteristics, knowledge and preferences were identified and their values determined. A case study implementing a simple agent-based route choice decision model within a microscopic traffic simulation tool is also presented. Driver-vehicle units (DVUs) were modelled as autonomous software components that can each be assigned a set of goals to achieve and a database of knowledge comprising certain beliefs, intentions and preferences concerning the driving task. Each DVU provided route choice decision-making capabilities, based on perception of its environment, that were similar to the described intentions of the driver it represented. The case study clearly demonstrated the feasibility of the approach and the potential to develop more complex driver behavioural dynamics based on the belief-desire-intention agent architecture. (C) 2002 Elsevier Science Ltd. All rights reserved.