A low-cost intelligent gas sensing device for military applications

The field of electronic noses and gas sensing has been developing rapidly since the introduction of the silicon based sensors. There are numerous systems that can detect and indicate the level of a specific gas. We introduce here a system that is low power, small and cheap enough to be used in mobile robotic platforms while still being accurate and reliable enough for confident use. The design is based around a small circuit board mounted in a plastic case with holes to allow the sensors to protrude through the top and allow the natural flow of gas evenly across them. The main control board consists of a microcontroller PCB with surface mount components for low cost and power consumption. The firmware of the device is based on an algorithm that uses an Artificial Neural Network (ANN) which receives input from an array of gas sensors. The various sensors feeding the ANN allow the microcontroller to determine the gas type and quantity. The Testing of the device involves the training of the ANN with a number of different target gases to determine the weightings for the ANN. Accuracy and reliability of the ANN is validated through testing in a specific gas filled environment.

Consumer participation in designing community based consumer-directed disability care : lessons from a participatory action research-inspired project

User participation has been embraced worldwide as a means to provide better consumer outcomes in health and community care. However, methodologies to achieve effective consumer engagement at the programme design level have remained under-explored. The purpose of this study was to evaluate the impact of a Participatory Action Research (PAR)-inspired methodology used to develop a consumer-directed community care/individualised funding service model for people with disabilities. A retrospective analysis of case notes and internal reports for the first 6 years of an ongoing project were examined. The findings suggest that PAR methodologies need to take into account community development, group support, and capacity building as well as succession planning and risk management issues in order to facilitate the often lengthy policy and project development process. Drawing on these findings, this article discusses five lessons and their methodological implications for PAR in a health or social policy/programme design context.

Giving young Emirati women a voice : participatory action research on physical activity

International evidence on health promotion indicates the importance of regular physical activity for preventing and reducing the incidence of obesity and chronic diseases. This study investigated the relationship between physical activity and the social milieu of young Muslim women in the United Arab Emirates. This participatory action research project included semi-structured in-depth interviews and focus groups and yielded qualitative data. Set within a context of rapid social change, perceived barriers to daily exercise influenced participants’ physical activity levels and overall well-being. Results indicated a lack of physical exercise and strategies were proposed for implementation by college staff and students.

Hydro-acoustic remote sensing of benthic biological communities on the shallow South East Australian continental shelf

Information regarding the composition and extent of benthic habitats on the South East Australian continental shelf is limited. In this habitat mapping study, multibeam echosounder (MBES) data are integrated with precisely geo-referenced video ground-truth data to quantify benthic biotic communities at Cape Nelson, Victoria, Australia. Using an automated decision tree classification approach, 5 representative biotic groups defined from video analysis were related to hydro-acoustically derived variables in the Cape Nelson survey area. Using a combination of multibeam bathymetry, backscatter and derivative products produced highest overall accuracy (87%) and kappa statistic (0.83). This study demonstrates that decision tree classifiers are capable of integrating variable data types for mapping distributions of benthic biological assemblages, which are important in maintaining biodiversity and other system services in the marine environment.

Changing teacher professional learning : transitioning from train - the trainer to participatory action research

Diffusion-adoption professional learning models which position teachers ascompliant technicians of policy and practices are limited in their long term effects on teacher professionalism. In contrast, co-researching models of professional learning hold the potential to engage teachers and researchers in explorations of mutual concern which impact on professionalism and contribute to development of both theory and practice.

This article describes professional learning within the context of an Australian state department of education during a period of reform. The contextual influences and design of a collaborative, film-driven participatory action research design which explored teacher learning and application of multiliteracies theory are explored. A spiral of cycles of action research incorporated engagentent with multiliteracies theory and collaborative planning; filming of teacher classroom 'action' and reflective interviews; collaborative observation of and reflection on the resultant filmic artefacts.

The filmic artefacts offered rich multimodal examples of teaching practices,
incorporatíng visual, audio, gestural and spatial classroom information, far beyond the purely linguistic recounts and descriptions which characterise many professional development workshops. Incorporation of collaborative filmic research techniques enabled multimodal observation of teaching practices across a number of sites, with observation unrestricted by temporal or physical parameters.

Inverse opal structure of SnO2 and SnO2 : Zn for gas sensing

In the present work, we propose a low cost synthetic sol-gel route that allows to produce high quality oxide nanostructures with inverse opal architecture which, transferred on alumina substrates provided with Pt interdigitated contacts and heater, are tested as gas sensing devices. An opal template of sintered monodisperse polystyrene spheres was filled with alcoholic solutions of metal oxide precursors and transferred on the alumina substrate. The polystyrene template was removed by thermal treatment, leading to the simultaneous sintering of the oxide nanoparticles. Beside SnO₂, a binary oxide well known for gas sensing application, a Zn containing ternary solid solution (SnO₂:Zn, with Zn 10% molar content) was taken into account for sensor preparation. The obtained high quality macro and meso-porous structures, characterized by different techniques, were tested for pollutant (CO, NO₂) and interfering (methanol) gases, showing that very good detection can be reached through the increase of surface area offered by the inverse opal structure and the tailoring of the chemical composition. The electrical characterization performed on the tin dioxide based sensors shows an enhancement of the relative response towards NO₂ at low temperatures in comparison with conventional SnO₂ sensors obtained with sputtering technique. The addition of Zn increases the separation between the operating temperatures for reducing and oxidizing gases and results in a further enhancement of the selectivity to NO₂ detection.

Microprocessor-based insulin delivery device with amperometric glucose sensing

This paper details the design of a closed-loop insulin delivery device, consisting of a glucose sensing circuit, and a basic microprocessor-based syringe pump. The glucose sensing circuit contains the required components to interface with CGMS's glucose sensor assembly, while the syringe pump design uses microprocessor to allow flexible control over the pump driver. Instrumentation developed in this paper provides a ready reference to other researchers on the construction of a closed-loop insulin delivery apparatus with amperometric glucose sensor.

Retrospective application of remote sensing to the Tasmanian lakeland

This thesis describes the research undertaken for a degree of Master of Science in a retrospective study of airborne remotely sensed data registered in 1990 and 1993, and field captured data of aquatic humus concentrations for ~ 45 lakes in Tasmania. The aim was to investigate and describe the relationship between the remotely sensed data and the field data and to test the hypothesis that the remotely sensed data would establish further evidence of a limnological corridor of change running north-west to south- east. The airborne remotely sensed data consisted of data captured by the CSIRO Ocean Colour Scanner (OCS) and a newly developed Canadian scanner, a compact airborne spectrographic imager (CASI). The thesis investigates the relationship between the two kinds of data sources. The remotely sensed data was collected with the OCS scanner in 1990 (during one day) and with both the OCS and the CASI in 1993 (during three days). The OCS scanner registers data in 9 wavelength bands between 380 nm and 960 nm with a 10-20 nm bandwidth, and the CASI in 288 wavelength bands between 379.57 nm and 893.5 nm (ie. spectral mode) with a spectral resolution of 2.5 nm. The remotely sensed data were extracted from the original tapes with the help of the CSIRO and supplied software and digital sample areas (band value means) for each lake were subsequently extracted for data manipulation and statistical analysis. Field data was captured concurrently with the remotely sensed data in 1993 by lake hopping using a light aircraft with floats. The field data used for analysis with the remotely sensed data were the laboratory determined g440 values from the 1993 water samples collated with g440 values determined from earlier years. No spectro-radiometric data of the lakes, data of incoming irradiance or ancillary climatic data were captured during the remote sensing missions. The sections of the background chapter in the thesis provide a background to the research both in regards to remote sensing of water quality and the relationship between remotely sensed spectral data and water quality parameters, as well as a description of the Tasmanian lakes flown. The lakes were divided into four groups based on results from previous studies and optical parameters, especially aquatic humus concentrations as measured from field captured data. The four groups consist of the ‘green” clear water lakes mostly situated on the Central Plateau, the ‘brown” highly dystrophic lakes in western Tasmania, the ‘corridor” lakes situated along a corridor of change lying approximately between the two lines denoting the Jurassic edge and 1200 mm isohyet, and the ‘eastern, turbid” lakes make up the fourth group. The analytical part of the research work was mostly concerned with manipulating and analysing the CASI data because of its higher spectral resolution. The research explores methods to apply corrections to this data to reduce the disturbing effects of varying illumination and atmospheric conditions. Three different methods were attempted. In the first method two different standardisation formulas are applied to the data as well as ‘day correction” factors calculated from data from one of the lakes, Lake Rolleston, which had data captured for all three days of the remote sensing operations. The standardisation formulas were also applied to the OCS data. In second method an attempt to reduce the effects of the atmosphere was performed using spectro-radiometric captured in 1988 for one of the lakes flown, Great Lake. All the lake sample data were time normalised using general irradiance data obtained from the University of Tasmania and the sky portion as calculated from Great Lake upwelling irradiance data was then subtracted. The last method involved using two different band ratios to eliminate atmospheric effects. Statistical analysis was applied to the data resulting from the three methods to try to describe the relationship between the remotely sensed data and the field captured data. Discriminant analysis, cluster analysis and factor analysis using principal component analysis (pea) were applied to the remotely sensed data and the field data. The factor scores resulting from the pca were regressed against the field collated data of g440 as were the values resulting from last method. The results from the statistical analysis of the data from the first method show that the lakes group well (100%) against the predetermined groups using discriminant analysis applied to the remotely sensed CASI data. Most variance in the data are contained in the first factor resulting from pca regardless of data manipulation method. Regression of the factor scores against g440 field data show a strong non- linear relationship and a one-sided linear regression test is therefore considered an inappropriate analysis method to describe the dataset relationships. The research has shown that with the available data, correction and analysis methods, and within the scope of the Masters study, it was not possible to establish the relationships between the remotely sensed data and the field measured parameters as hoped. The main reason for this was the failure to retrieve remotely sensed lake signatures adequately corrected for atmospheric noise for comparison with the field data. This in turn is a result of the lack of detailed ancillary information needed to apply available established methods for noise reduction - to apply these methods we require field spectroradiometric measurements and environmental information of the varying conditions both within the study area and within the time frame of capture of the remotely sensed data.

Building health promotion capacity in the workforce : participatory action research

This study used participatory action research to describe and analyse the elements of building health promotion capacity in a primary health care workforce in an urban community health setting, reinforcing the importance of provider informed evidence. It presents an integrated model for health promotion and capacity building in the workforce.

Teaching educational administration in Thailand : a participatory approach

A participatory approach was used to teach educational administration topics relevant to the Thai reform agenda. Students were also required to carry out a workplace project based on their studies. Data indicated that the content and pedagogy of the university course were an effective form of professional development for school administrators.

Contextualising learning through the participatory construction of an environmental education programme

Strengthening links between school and community is critical for improving people's participation in environmental issues. However, Mexican education programmes are generally unrelated to rural students' life experience and are planned without considering either teachers' or students' opinions. This article describes the participatory construction of a preparatory school environmental education (EE) programme in Ixtlan de Juarez, a Mexican indigenous community internationally recognised for sustainable forest management. The qualitative research methods used are based on the action research methodology. Results from interviews conducted with the preparatory school's headmaster, the coordinator, and nine teachers provided the needed documentation of the school site for contextualising learning activities. Feedback during focus groups with six students, three teachers, five local communal authorities, and two researchers highlighted that all participants perceived the need for creating an educational programme focused on local forest management. The contents and activities of the programme were designed by the focus group's participants. The programme has been continuously taught by teachers and forest workers since 2005 and was officially integrated with the preparatory school science curriculum in 2006. This participative educational experience has thus transformed the mandatory school curriculum in Ixtlan.