title: New Zealand regions, 1986-2001: Industries and occupations

authors: Pool, Ian

subjects: industry

abstract: This paper provides an analysis which examines the differences in the industrial and occupational structure of New Zealand regions. Using data compiled by Statistics New Zealand from Goods and Services Tax (GST) registrations supplied by the Inland Revenue Department, it also looks at business size trends. The analysis in this paper points to a distinct change in the characteristics of the New Zealand labour force, a shift to a “More Highly Skilled Tertiary” sector. This paper shows that these changes did not occur uniformly across New Zealand regions. Instead, skills typical of the “new economy” or the “knowledge society” are concentrated in Auckland and Wellington, and to a lesser degree Canterbury. This trend has seen regional patterns of work diverge more and more.

text: New Zealand regions, 1986-2001: Industries and occupations This paper provides an analysis which examines the differences in the industrial and occupational structure of New Zealand regions. Using data compiled by Statistics New Zealand from Goods and Services Tax (GST) registrations supplied by the Inland Revenue Department, it also looks at business size trends. The analysis in this paper points to a distinct change in the characteristics of the New Zealand labour force, a shift to a “More Highly Skilled Tertiary” sector. This paper shows that these changes did not occur uniformly across New Zealand regions. Instead, skills typical of the “new economy” or the “knowledge society” are concentrated in Auckland and Wellington, and to a lesser degree Canterbury. This trend has seen regional patterns of work diverge more and more.

year: 2005-12

title: NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure

authors: Leijen, Petrus Jozef Martinus

subjects: NiMH

abstract: Battery forensics is a growing research field that is becoming increasingly important with the introduction of hybrid-electric and electric vehicles. The need to correctly diagnose battery condition and predict signs of early failure is well recognised. Many presently used techniques are only applicable to laboratory situations where sensitive measurement is required or where complicated mathematical approaches are needed to assess battery condition. Advanced techniques are explored, such as extended Kalman filtering, to identify the challenges associated with analysis of multi-cell battery modules. Energy-recycling hardware is developed that is capable of efficiently cycling energy to and from cells connected in a series configuration. Switching a supercapacitor-bank-based energy store between series and parallel configurations, coupled with a bidirectional switch-mode power-supply, ensures that maximum energy is retained during the analysis cycle. Extended Kalman filtering (EKF) applied to three different battery models was used to quantify the internal component values of the battery equivalent circuits. The bulk-surface model was determined to be the most appropriate for the Toyota Prius battery modules as the EKF predicted component values converge to stable values, and the recovered voltage trace has a low error. However, the computational complexity when considering 12 series-connected NiMH cells, with their individual component variation with state-of-charge and state-of-health, make the EKF approach unviable. The data harvested during the energy recycling is used to calculate a new effective capacitance measure which relates directly to battery state-of-health. Not only is there a direct relationship between effective capacitance and state-of-health, but the (Q,V) coordinate of maximum effective capacitance on the charge-voltage plane, captured during battery discharge, is able to distinguish clearly between ordinary ageing and catastrophic cell failures.

text: NiMH battery forensics: Instrumentation, modelling and prognostics for identifying failure Battery forensics is a growing research field that is becoming increasingly important with the introduction of hybrid-electric and electric vehicles. The need to correctly diagnose battery condition and predict signs of early failure is well recognised. Many presently used techniques are only applicable to laboratory situations where sensitive measurement is required or where complicated mathematical approaches are needed to assess battery condition. Advanced techniques are explored, such as extended Kalman filtering, to identify the challenges associated with analysis of multi-cell battery modules. Energy-recycling hardware is developed that is capable of efficiently cycling energy to and from cells connected in a series configuration. Switching a supercapacitor-bank-based energy store between series and parallel configurations, coupled with a bidirectional switch-mode power-supply, ensures that maximum energy is retained during the analysis cycle. Extended Kalman filtering (EKF) applied to three different battery models was used to quantify the internal component values of the battery equivalent circuits. The bulk-surface model was determined to be the most appropriate for the Toyota Prius battery modules as the EKF predicted component values converge to stable values, and the recovered voltage trace has a low error. However, the computational complexity when considering 12 series-connected NiMH cells, with their individual component variation with state-of-charge and state-of-health, make the EKF approach unviable. The data harvested during the energy recycling is used to calculate a new effective capacitance measure which relates directly to battery state-of-health. Not only is there a direct relationship between effective capacitance and state-of-health, but the (Q,V) coordinate of maximum effective capacitance on the charge-voltage plane, captured during battery discharge, is able to distinguish clearly between ordinary ageing and catastrophic cell failures.

year: 2016

title: Ōpōtiki Mai Tawhiti Kapa Haka

authors: Maxwell, Te Kahautu

abstract: Te Matatini is the World Champion Competition. Ōpōtiki Mai Tawhiti; Pool performance on Day 1 of the Te Matatini National Kapa Haka Competition. Ōpōtiki Mai Tawhiti placed second in the pool and qualified for the Top 9 Finals on Sunday 24th February 2013. Overall in the Pool qualifiers ŌpōTiki Mai Tawhiti placed 5th out of 41.

text: Ōpōtiki Mai Tawhiti Kapa Haka Te Matatini is the World Champion Competition. Ōpōtiki Mai Tawhiti; Pool performance on Day 1 of the Te Matatini National Kapa Haka Competition. Ōpōtiki Mai Tawhiti placed second in the pool and qualified for the Top 9 Finals on Sunday 24th February 2013. Overall in the Pool qualifiers ŌpōTiki Mai Tawhiti placed 5th out of 41.

year: 2013-02-21