title: Bathymetry and bottom sediments of Lake Vanda, Antarctica

authors: Nelson, Campbell S.

abstract: To assist in locating the best site for the Lake Vanda drill hole, the nature of the bottom surface sediments was studied for the purpose of constructing a general bathymetric map of the lake. A maximum depth of 68.6 m is recorded near the center of the western lobe of the lake. Lake bottom sediments sampled at 25 drill holes show two contrasting bottom sediment facies. Shallower than 60 m the environment is aerobic, consisting mainly of pale fawn and quartzofeldspathic sands, overlain by a layer of biological detritus containing algae, diatoms, fungal mycelia, bacteria, and terrigenous sand. Below 60 m the environment is anaerobic, the sediments consisting of sandy muds and muddy sands rich in finely disseminated organic matter. The bathymetric map is shown

text: Bathymetry and bottom sediments of Lake Vanda, Antarctica To assist in locating the best site for the Lake Vanda drill hole, the nature of the bottom surface sediments was studied for the purpose of constructing a general bathymetric map of the lake. A maximum depth of 68.6 m is recorded near the center of the western lobe of the lake. Lake bottom sediments sampled at 25 drill holes show two contrasting bottom sediment facies. Shallower than 60 m the environment is aerobic, consisting mainly of pale fawn and quartzofeldspathic sands, overlain by a layer of biological detritus containing algae, diatoms, fungal mycelia, bacteria, and terrigenous sand. Below 60 m the environment is anaerobic, the sediments consisting of sandy muds and muddy sands rich in finely disseminated organic matter. The bathymetric map is shown

year: 1972

title: Fault detection and path optimisation for a meat-processing robot

authors: Hurd, Shaun A.

abstract: An automated Y-cutting system has been developed by the Automation Systems team of Industrial Research Limited. This robotic device performs the Y-cut operation on sheep carcasses. The robotic Y-cutting system must deal with a variety of carcass shapes and sizes, and it is important that process faults are detected, diagnosed and corrected as quickly as possible. This thesis addresses the fault detection and path optimisation requirements of the Y-cutting system. 

The development of a neural network-based fault detection module is documented. This module classifies process faults using axial motor current data from the Y-cutting robot. The module successfully classifies 98% of the presented cut signals during offline training, and 100% of cuts during an extended trial in an Australian meat-processing plant. An online training scheme is implemented to allow for the retraining of the neural network weights as required. The fault detection module is extended to handle a greater number of fault conditions and to detect variations in the process load. 

A path optimisation algorithm is developed to optimise the parameters that define the cut-path of the robot based on the output of the fault detection module. A line-search within the parameter space is used to estimate the position of the optimum parameter value. The optimisation of fifteen path parameters requires 4760 simulated Y-cuts, equating to approximately 1.5 days of processing in a typical meat-plant. This is significantly faster than the existing method for manually tuning the Y-cutting system. The fault detection and path optimisation systems can be generically applied to other robotic systems produced by Industrial Research Limited for the handling and processing of highly varying natural products.

text: Fault detection and path optimisation for a meat-processing robot An automated Y-cutting system has been developed by the Automation Systems team of Industrial Research Limited. This robotic device performs the Y-cut operation on sheep carcasses. The robotic Y-cutting system must deal with a variety of carcass shapes and sizes, and it is important that process faults are detected, diagnosed and corrected as quickly as possible. This thesis addresses the fault detection and path optimisation requirements of the Y-cutting system. 

The development of a neural network-based fault detection module is documented. This module classifies process faults using axial motor current data from the Y-cutting robot. The module successfully classifies 98% of the presented cut signals during offline training, and 100% of cuts during an extended trial in an Australian meat-processing plant. An online training scheme is implemented to allow for the retraining of the neural network weights as required. The fault detection module is extended to handle a greater number of fault conditions and to detect variations in the process load. 

A path optimisation algorithm is developed to optimise the parameters that define the cut-path of the robot based on the output of the fault detection module. A line-search within the parameter space is used to estimate the position of the optimum parameter value. The optimisation of fifteen path parameters requires 4760 simulated Y-cuts, equating to approximately 1.5 days of processing in a typical meat-plant. This is significantly faster than the existing method for manually tuning the Y-cutting system. The fault detection and path optimisation systems can be generically applied to other robotic systems produced by Industrial Research Limited for the handling and processing of highly varying natural products.

year: 2005

title: Secular schools, spirituality and Maori values

authors: Fraser, Deborah

abstract: New Zealand has had free, state, secular education since 1877, but just what is meant by secularism is changing. Since the 1980s the growth of Maori education initiatives has mushroomed and these place emphasis on Maori values and beliefs, including spirituality. In addition, in 1999 a definition and statement on spirituality appeared in the health and physical education national curriculum document. This statement referred to values, beliefs, meaning and purpose. It also incorporated a Maori model of well‐being which places the spiritual alongside other dimensions of humanity. This article explores the concept of spirituality in secular schooling in New Zealand. Some influences from Maori culture are explored with particular reference to values, ethical decision‐making and spirituality. Interviews with Maori teachers highlight how moral decisions often reflect spiritual beliefs and practices. It is argued that schooling has a moral obligation to reflect indigenous values if understanding, respect and cultural identity are to be promoted and cherished. It is also suggested that spirituality challenges what we have traditionally considered as learning at school.

text: Secular schools, spirituality and Maori values New Zealand has had free, state, secular education since 1877, but just what is meant by secularism is changing. Since the 1980s the growth of Maori education initiatives has mushroomed and these place emphasis on Maori values and beliefs, including spirituality. In addition, in 1999 a definition and statement on spirituality appeared in the health and physical education national curriculum document. This statement referred to values, beliefs, meaning and purpose. It also incorporated a Maori model of well‐being which places the spiritual alongside other dimensions of humanity. This article explores the concept of spirituality in secular schooling in New Zealand. Some influences from Maori culture are explored with particular reference to values, ethical decision‐making and spirituality. Interviews with Maori teachers highlight how moral decisions often reflect spiritual beliefs and practices. It is argued that schooling has a moral obligation to reflect indigenous values if understanding, respect and cultural identity are to be promoted and cherished. It is also suggested that spirituality challenges what we have traditionally considered as learning at school.

year: 2004