title: Creating digital library collections with Greenstone

authors: Witten, Ian H.

subjects: computer science

abstract: The Greenstone digital library software is a comprehensive system for building and distributing digital library collections. It provides a way of organizing information based on metadata and publishing ti on the Internet. This paper introduces Greenstone and explains how librarians use it to create and customize digital library collections. Through an end-user interface, they add documents and metadata to collections, create new collections whose structure mirrors existing ones, and build collections and put them in place for users to view. More advanced users can design and customize new collection structures.

text: Creating digital library collections with Greenstone The Greenstone digital library software is a comprehensive system for building and distributing digital library collections. It provides a way of organizing information based on metadata and publishing ti on the Internet. This paper introduces Greenstone and explains how librarians use it to create and customize digital library collections. Through an end-user interface, they add documents and metadata to collections, create new collections whose structure mirrors existing ones, and build collections and put them in place for users to view. More advanced users can design and customize new collection structures.

year: 2005

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: Riariakina ō rongo hirikapo From kōhanga reo to kura

authors: Hohepa, Margie Kahukura

abstract: Ko te kaupapa tonu, ko te whakatupu i te mahara o te hirikapo kia tiu ai ki te muri, arā, kia puta he whakaaro i pokepokengia nō roto tonu i ngā whakahekenga kāwai o ngā tūpuna o te tamaiti, kua maranga te wā e kaumātua haere ana te tamaiti, ngōna kanohi kua huaki, ngōna taringa kua pīkari, ngā whakaaro kua korikori, tōna wairua hīkaka kua ngawhā, ngērā kaupapa katoa o te tamaiti i taua wā o te tupu. Mā tēnei kōrero hoki hei kawe te taonga o te rongo hirikapo, arā, ngā whakaaro, ngā mahara, nāna ko te waha, nā te waha ko te kupu kōrero e makere iho ai i te ārero tarapepe. Heoi anō he tohutohu anō kei roto e kī ana, manaakingia ngā kai o te hirikapo o te tamaiti, he taonga. Ki te kore e tika te manaakingia e ngā mātua, tērā te wā ka ātitirauhea i te puāwaitanga o te rau. Ngērā kaupapa katoa. (Haki Tuaupiki, 2013)
This project grew out of the desire of a kōhanga and a kura—Te Kōhanga Reo o Ngā Kuaka and Tōku Māpihi Maurea Kura Kaupapa Māori respectively—to enhance transitions between their two sites for tamariki and whānau. Although visits to Tōku Māpihi Maurea before beginning at the kura were available for Ngā Kuaka tamariki on acceptance for enrolment, the instigators of this project believed a more formal transition programme would be beneficial to tamariki and their whānau. The kōhanga and kura were interested in tamariki and whānau experiencing a more effective transition across the two environments and the learning and curriculum in those respective sites.
The kōhanga and kura approached researchers at the University of Waikato Te Kura Toi Tangata Faculty of Education with the research question below and together we developed the proposal. From the outset the project was collaborative, cross-sector, and involved researchers from the kōhanga, the kura and the university.

text: Riariakina ō rongo hirikapo From kōhanga reo to kura Ko te kaupapa tonu, ko te whakatupu i te mahara o te hirikapo kia tiu ai ki te muri, arā, kia puta he whakaaro i pokepokengia nō roto tonu i ngā whakahekenga kāwai o ngā tūpuna o te tamaiti, kua maranga te wā e kaumātua haere ana te tamaiti, ngōna kanohi kua huaki, ngōna taringa kua pīkari, ngā whakaaro kua korikori, tōna wairua hīkaka kua ngawhā, ngērā kaupapa katoa o te tamaiti i taua wā o te tupu. Mā tēnei kōrero hoki hei kawe te taonga o te rongo hirikapo, arā, ngā whakaaro, ngā mahara, nāna ko te waha, nā te waha ko te kupu kōrero e makere iho ai i te ārero tarapepe. Heoi anō he tohutohu anō kei roto e kī ana, manaakingia ngā kai o te hirikapo o te tamaiti, he taonga. Ki te kore e tika te manaakingia e ngā mātua, tērā te wā ka ātitirauhea i te puāwaitanga o te rau. Ngērā kaupapa katoa. (Haki Tuaupiki, 2013)
This project grew out of the desire of a kōhanga and a kura—Te Kōhanga Reo o Ngā Kuaka and Tōku Māpihi Maurea Kura Kaupapa Māori respectively—to enhance transitions between their two sites for tamariki and whānau. Although visits to Tōku Māpihi Maurea before beginning at the kura were available for Ngā Kuaka tamariki on acceptance for enrolment, the instigators of this project believed a more formal transition programme would be beneficial to tamariki and their whānau. The kōhanga and kura were interested in tamariki and whānau experiencing a more effective transition across the two environments and the learning and curriculum in those respective sites.
The kōhanga and kura approached researchers at the University of Waikato Te Kura Toi Tangata Faculty of Education with the research question below and together we developed the proposal. From the outset the project was collaborative, cross-sector, and involved researchers from the kōhanga, the kura and the university.

year: 2017