System of systems approach to threat detection and integration of heterogeneous independently operable systems

This paper presents a system of systems approach to threat detection through integration of heterogeneous independently operable systems. The approach is presented on a realistic situation where a human-controlled base robot, swarm robot(s), and sensors work together to obtain a decision about a possible threat in the environment. The base robot is remotely operated by a human using a haptic control system. The swarm robot(s) are autonomous and can accept directives from the base robot. Finally, sensors directly communicate with (report to) the base robot. In this scenario, heterogeneous systems and human interact in a system of systems architecture. With the inclusion of human expert and sensor verification of swarm robots, the system can successfully perform the threat detection and reduce the false alarms. Finally, a system of systems simulation framework including a base robot, a swarm robot, and two sensors is presented in addition to an experimental evaluation of the proposed SoS architecture

Student construction of a knowledge-based system as an actor network

The study contributes to the educational computing discourse in two ways. It extends our understandings of the way students use and understand the building of small knowledge-based systems, and provides a novel and holistic way of investigating the use of information technology in classrooms.

Combination of decisions from a multiple neural network classifier system

In this paper, a study of the effectiveness of a multiple classifier system (MCS) in a medical diagnostic task is described. A hybrid network, based on the integration of a fuzzy ARTMAP and the probabilistic neural network, is employed as the basis of the MCS. Outputs from multiple networks are combined using some decision combination method to reach a final prediction. By using a real medical database, a set of experiments has been conducted to evaluate the performance of the MSC with different network configurations. The experimental results reveal the potential of the MCS as a useful decision support tool in the medical field.

Construction of the descriptive system for the assessment of quality of life AQoL-6D utility instrument

Background
Multi attribute utility (MAU) instruments are used to include the health related quality of life (HRQoL) in economic evaluations of health programs. Comparative studies suggest different MAU instruments measure related but different constructs. The objective of this paper is to describe the methods employed to achieve content validity in the descriptive system of the Assessment of Quality of Life (AQoL)-6D, MAU instrument.

Methods
The AQoL program introduced the use of psychometric methods in the construction of health related MAU instruments. To develop the AQoL-6D we selected 112 items from previous research, focus groups and expert judgment and administered them to 316 members of the public and 302 hospital patients. The search for content validity across a broad spectrum of health states required both formative and reflective modelling. We employed Exploratory Factor Analysis and Structural Equation Modelling (SEM) to meet these dual requirements.

Results and Discussion
The resulting instrument employs 20 items in a multi-tier descriptive system. Latent dimension variables achieve sensitive descriptions of 6 dimensions which, in turn, combine to form a single latent QoL variable. Diagnostic statistics from the SEM analysis are exceptionally good and confirm the hypothesised structure of the model.

Conclusions
The AQoL-6D descriptive system has good psychometric properties. They imply that the instrument has achieved construct validity and provides a sensitive description of HRQoL. This means that it may be used with confidence for measuring health related quality of life and that it is a suitable basis for modelling utilities for inclusion in the economic evaluation of health programs.

Developing customer-focused public sector rewards schemes : evidence from the Botswana government's performance based reward system (PBRS)

Purpose – Governmental agencies are interested in improving the quality of their service delivery. One tool that has been used to manage their performance is performance based reward schemes (PBRS). The aim of this paper is to examine the degree to which a sample of these plans, used within the Botswana public sector, is customer-focused. Being more customer-focused should deliver improved public sector service quality.

Design/methodology/approach – This study carried out an evaluation of a sample of Botswana PBRS plans, using multidimensional content analysis undertaken by four expert “evaluators”, to identify the degree to which the PBRS were customer-focused.

Findings – Classifying PBRS plans as being customer-focused was difficult, as the plans had few objectives related to customer experiences or outcomes. Those that did had poorly defined performance objectives, their targets were not specific, or there was limited explicit role responsibility. Thus, PBRS plans seemed not to focus on improving customer outcomes.

Research limitations/implications – The PBRS evaluated do not appear to be customer-focused and, thus, would have limited ability to improve customer experiences (i.e. public sector quality). Further research is needed in other countries to see whether these results are generalisable, and whether service levels vary with more customer-focused PBRS plans.

Practical implications – The results suggest improvements that could be adopted by organisations seeking to make their PBRS schemes customer-focused.

Originality/value – Extensive research suggests that PBRS plans can be used to improve service quality. Most of the studies have focused on the employees' perspectives and have not looked at the degree of customer orientation within the plans.