title: Development of a real-time full-field range imaging system

authors: Jongenelen, Adrian P.P.

subjects: range imaging

abstract: This article describes the development of a full-field range imaging system employing a high frequency amplitude modulated light source and image sensor. Depth images are produced at video frame rates in which each pixel in the image represents distance from the sensor to objects in the scene. 
The various hardware subsystems are described as are the details about the firmware and software implementation for processing the images in real-time. The system is flexible in that precision can be traded off for decreased acquisition time. Results are reported to illustrate this versatility for both high-speed (reduced precision) and high-precision operating modes.

text: Development of a real-time full-field range imaging system This article describes the development of a full-field range imaging system employing a high frequency amplitude modulated light source and image sensor. Depth images are produced at video frame rates in which each pixel in the image represents distance from the sensor to objects in the scene. 
The various hardware subsystems are described as are the details about the firmware and software implementation for processing the images in real-time. The system is flexible in that precision can be traded off for decreased acquisition time. Results are reported to illustrate this versatility for both high-speed (reduced precision) and high-precision operating modes.

year: 2009

title: Forming Clusters from Census Areas with Similar Tabular Statistics

authors: Jorgensen, Murray A.

subjects: census area data

abstract: This article presents a methodology for the clustering of a large number of tables of similar form. Data of this kind is often available from National Statistical Offices as tabulations of a set of variables for each of a large number of geographic units. Model-based clustering is employed, the underlying model being a finite mixture of multinomial distributions. We discuss the choice of the number of clusters and the interpretation of the clusters found. As a case study we consider a set of age-group by sex tables for small areas obtained in the New Zealand Census of Population and Dwellings for the year 2006.

text: Forming Clusters from Census Areas with Similar Tabular Statistics This article presents a methodology for the clustering of a large number of tables of similar form. Data of this kind is often available from National Statistical Offices as tabulations of a set of variables for each of a large number of geographic units. Model-based clustering is employed, the underlying model being a finite mixture of multinomial distributions. We discuss the choice of the number of clusters and the interpretation of the clusters found. As a case study we consider a set of age-group by sex tables for small areas obtained in the New Zealand Census of Population and Dwellings for the year 2006.

year: 2013

title: He Pikinga Waiora Kimi Ora lifestyle programme: Case study of a successful community-based indigenous diabetes intervention

authors: Masters-Awatere, Bridgette

subjects: adult

abstract: AIM: To co-design and implement a whānau-centred, community-based lifestyle programme (Kimi Ora) intended to ensure no worsening of HbA1c and to improve wellbeing for Māori whānau and communities with diabetes or pre-diabetes. 

METHODS: Māori healthcare providers, community members, research advisors and wider stakeholders used a co-design process underpinned by He Pikinga Waiora to collaboratively develop and implement Kimi Ora Control group comparisons and participants were recruited from Te Kōhao Health. Multi-method monitoring and collection captured individual, whānau and community data. 

RESULTS: Kimi Ora was run in two communities in Aotearoa New Zealand. In total, there were 35 participants who took part in an eight-week programme offered five times alongside a comparison group comprising 21 participants. Kimi Ora resulted in significant improvements on all biomedical measures compared to baseline, and participants had gains relative to the comparison group for variables including weight, BMI, blood pressure and waist measurement. Of particular note was the 100% retention rate and sustained community support for Kimi Ora.

CONCLUSIONS: Outcomes from Kimi Ora demonstrate this programme, which was actively tailored for and worked with Māori communities in a responsive and flexible manner, resulted in successful biomedical outcomes, high engagement and high retention.

text: He Pikinga Waiora Kimi Ora lifestyle programme: Case study of a successful community-based indigenous diabetes intervention AIM: To co-design and implement a whānau-centred, community-based lifestyle programme (Kimi Ora) intended to ensure no worsening of HbA1c and to improve wellbeing for Māori whānau and communities with diabetes or pre-diabetes. 

METHODS: Māori healthcare providers, community members, research advisors and wider stakeholders used a co-design process underpinned by He Pikinga Waiora to collaboratively develop and implement Kimi Ora Control group comparisons and participants were recruited from Te Kōhao Health. Multi-method monitoring and collection captured individual, whānau and community data. 

RESULTS: Kimi Ora was run in two communities in Aotearoa New Zealand. In total, there were 35 participants who took part in an eight-week programme offered five times alongside a comparison group comprising 21 participants. Kimi Ora resulted in significant improvements on all biomedical measures compared to baseline, and participants had gains relative to the comparison group for variables including weight, BMI, blood pressure and waist measurement. Of particular note was the 100% retention rate and sustained community support for Kimi Ora.

CONCLUSIONS: Outcomes from Kimi Ora demonstrate this programme, which was actively tailored for and worked with Māori communities in a responsive and flexible manner, resulted in successful biomedical outcomes, high engagement and high retention.

year: 2021