Unitec Institute of Technology
Unitec Institute of Technology
Li X.,Unitec Institute of Technology
Frontiers in Artificial Intelligence and Applications | Year: 2016
This paper describes an improved intelligent student advising system. Comparing it to the initial system, the improvements include: the initial system was integrated with WEKA, both K-means algorithm and Cobweb algorithm were implemented for training and testing data sets, and course and pathway recommendations were also implemented. The recommendations given by the improved system were based on the K-means algorithm only, and the results were meaningful. However, the quality of the recommendations could be improved. For that purpose, Cobweb algorithm was also experimented. The results showed that it is hard to identify proper parameters for Cobweb algorithm to produce meaningful clusters. Furthermore, the results of the experiments suggested that Cobweb algorithm is less efficient than K-means algorithm for this system. The results of the experiments also suggested that Cobweb algorithm is more reliable than K-means algorithm for this system. Future research should focus on improving the efficiency of Cobweb algorithm. © 2016 The authors and IOS Press. All rights reserved.
Stanley R.,Unitec Institute of Technology |
Thurnell D.,Unitec Institute of Technology
Australasian Journal of Construction Economics and Building | Year: 2014
Building Information Modelling(BIM) models are relational and parametric in nature, and 5D BIM is where model objects include specification data and other properties which can be directly used for pricing construction work. There is huge potential for its use by quantity surveyors(QSs) for such tasks as quantity take-offs, estimation and cost management, in a collaborative project environment. Perceptions regarding the benefits of, and barriers to, the implementation of 5D BIM by quantity surveyors in Auckland are presented, based on structured interviews with 8 QSs. Results suggest that 5D BIM may provide advantages over traditional forms of quantity surveying in Auckland by increasing efficiency, improving visualization of construction details, and earlier risk identification. However there are perceived barriers to 5D BIM implementation within the construction industry: a lack of software compatibility; prohibitive set-up costs; a lack of protocols for coding objects within building information models; lack of an electronic standard for coding BIM software, and the lack of integrated models, which are an essential pre-requisite for full inter-operability, and hence collaborative working, in the industry. Further research is recommended, to find solutions to overcome these barriers to inter-operability between 3D and 5D BIM, in order to facilitate the cost modelling process.
Aguilar G.D.,Unitec Institute of Technology |
Farnworth M.J.,Unitec Institute of Technology
Applied Geography | Year: 2012
Stray cats are a common feature of urban landscapes and are associated with issues of animal welfare and negative environmental impacts. Management, planning and decision-making require readily accessible information on stray cats. However, much of the existing data is not immediately useful for a geographic information system (GIS) in terms of format, content and explicit location information. Spreadsheets we obtained from a single large shelter in the Auckland region. They contained records of stray cat pickups and admissions for an entire year (n = 8573) of which 56.4% (n = 4834) contained data that could be processed to derive relevant spatial information. The resulting data consisted of identified roads and areas of Auckland where the stray cats were found. Published census databases and shapefiles were matched with the data to build a GIS of stray cats. Global and local regression analysis was employed to discover spatial distribution characteristics including the identification of areas with relatively high and low concentrations of stray cats and to explore relationships between socioeconomic condition and stray cat density. Significant clustering is more evident in South Auckland than elsewhere in the region. Specific geographical information is valuable, not only for understanding population dynamics of stray cats, but also to allow spatial and temporal targeting of resources to minimise their impact and promote responsible ownership. © 2011 Elsevier Ltd.
Su B.,Unitec Institute of Technology
Architectural Science Review | Year: 2011
The energy consumption of a house can be affected simultaneously by many building design factors related to its main architectural features, building elements and materials. The relationship between the building design data and energy consumption data of houses can still be identified. This study focuses on the impact of building design factors on the extra winter energy consumption of houses. This information can be used to estimate the approximate saving in extra winter energy consumption, which would result from a changed design datum for future house development, and to identify the major design problems for energy efficiency. The quantitative relationships between building design data and extra winter energy consumption data are also valuable for developing passive design guides for housing energy efficiency. There is a focus on the effects of the passive features used in the architecture. © 2011 Copyright Taylor and Francis Group, LLC.
Alam S.,University of Auckland |
Dobbie G.,University of Auckland |
Koh Y.S.,University of Auckland |
Riddle P.,University of Auckland |
Ur Rehman S.,Unitec Institute of Technology
Swarm and Evolutionary Computation | Year: 2014
Optimization based pattern discovery has emerged as an important field in knowledge discovery and data mining (KDD), and has been used to enhance the efficiency and accuracy of clustering, classification, association rules and outlier detection. Cluster analysis, which identifies groups of similar data items in large datasets, is one of its recent beneficiaries. The increasing complexity and large amounts of data in the datasets have seen data clustering emerge as a popular focus for the application of optimization based techniques. Different optimization techniques have been applied to investigate the optimal solution for clustering problems. Swarm intelligence (SI) is one such optimization technique whose algorithms have successfully been demonstrated as solutions for different data clustering domains. In this paper we investigate the growth of literature in SI and its algorithms, particularly Particle Swarm Optimization (PSO). This paper makes two major contributions. Firstly, it provides a thorough literature overview focusing on some of the most cited techniques that have been used for PSO-based data clustering. Secondly, we analyze the reported results and highlight the performance of different techniques against contemporary clustering techniques. We also provide an brief overview of our PSO-based hierarchical clustering approach (HPSO-clustering) and compare the results with traditional hierarchical agglomerative clustering (HAC), K-means, and PSO clustering. © 2014 Elsevier B.V.
Galbraith M.,Unitec Institute of Technology
New Zealand Journal of Ecology | Year: 2013
Tiritiri Matangi Island has attained an international profile as a successful ecological restoration project, and is often cited as a model of environmental stewardship. Ecological restoration on the island has always involved, and been dependent on, voluntary public involvement. Public participation in the project not only reinforces existing links between the public and scientific communities, but also facilitates even greater understanding of ecological concepts outside the professional and academic worlds. This paper examines enhanced ecological advocacy, ecological research and biodiversity management as outcomes of the collaborative involvement among the island's stakeholders, with 'public ecology' as an ultimate outcome. © New Zealand Ecological Society.
Stewart J.,Unitec Institute of Technology |
Callagher P.,Marine Fisheries Research Services Ltd
Marine Policy | Year: 2011
New Zealand's quota management system (QMS) was introduced in 1986 to enhance the sustainability of New Zealand's fishery. This paper examines trends in quota and catch share concentration across a range of important fish stocks. It demonstrates that continuing concentration is occurring in the ownership of quota for deepwater species. At the same time there has been an increase in participation by small scale fishers in the inshore fishery. This appears to be driven by the introduction of the Annual Catch Entitlement (ACE) regime, allowing annual catch shares to be accessed at reduced transaction cost. © 2011 Elsevier Ltd.
News Article | November 29, 2016
SYDNEY, November 29, 2016 /PRNewswire/ -- The Unitec Institute of Technology, based in Auckland, has selected Real Asset Management's (RAM) (http://www.realassetmgt.com.au) solution to improve the quality of asset information and tracking procedures at its campuses. With many...
News Article | November 29, 2016
The Unitec Institute of Technology, based in Auckland, has selected Real Asset Management's (RAM) (http://www.realassetmgt.com.au) solution to improve the quality of asset information and tracking procedures at its campuses. With many different departments and buildings, the institute identified the need to ensure that information could be communicated quickly and effectively across all areas of the organisation. Unitec is the largest institute of technology in New Zealand and currently has over 20,000 people enrolled on its extensive range of courses and study programmes. It provides a world class learning and teaching environment, driven towards delivering its students the platform they need to achieve success and provides extra services to help pupils find post graduation employment. Before implementing RAM's asset tracking software, the institute had a number of processes in place to manage the information. Kristo Fallas, Business Manager at Unitec explains, "Each department treats assets in a unique way, which has led to the creation of multiple systems tailored to very specific requirements. This has resulted in an information silo and meant that crucial details were not always available when required. The new software will collate and centralise all of this data into a common structure and will ensure that each department can access what it needs. "We wanted a solution that was intuitive, simple to implement and use, cloud-based and scalable," Fallas continued. "RAM's software met all of the criteria that we outlined and the system will allow us to consolidate data into a single source. The first phase of the project was to establish a verified asset register for all classrooms. The mobile app has made this a simple process and has been extremely easy to implement on both iOS and Android devices. We have site-wide Wi-Fi coverage and students have helped us to capture information by scanning items spread across over 170 buildings. The polished user interface of the app has made it simple for anybody to pick it up and understand how to operate it. "We chose RAM because it is an established provider of asset management software that offered us a solution that completely met all of our requirements," Fallas said. "The scalability on offer also influenced our decision as the option to expand our use of the system, should we need to, was essential. The web-based hosted platform provides crucial flexibility for the different information types that will be imported and the ability to upload text and image data to the cloud on a large scale is a big benefit to the institute. Previously, we would use external verification services to capture asset information. We have now made this an internal process using RAM's solution, which will save us money and improve the quality of data. "Creating a database to manage all assets within the Institute of Technology was not an easy task, but every person I've spoken with at RAM has been a pleasure to work with," Fallas concluded. "The support we have received at each step of the process has been great and completely driven towards delivering excellent service." Real Asset Management (RAM) is a leading provider of fixed asset management and logistics software & services. Over the last 30 years, its products have been implemented by more than 3,000 organisations in over 70 countries. With offices across the world, servicing customers in Australia/New Zealand, Europe, Middle East, Africa, Asia Pacific and the Americas, RAM offers a range of products and consultancy services which enable organisations to effectively track and report on their assets. Its Series4000 solution offers fixed asset accounting, capital project control, lease accounting, asset budgeting, asset tracking (utilising barcodes/RFID) and computerised maintenance management/facilities management. For further information, please contact: Richard Exley Real Asset Management Tel: +61(0)292-748-828 Email: email@example.com Twitter: @RealAssetMgt
News Article | November 22, 2016
Needless to say, it is through sharing new ideas and hypotheses that critical issues such as climate change and biodiversity loss can be addressed. However, few scientists are currently in a position to do so, because publishing bold ideas in peer-reviewed journals is very difficult, especially for those who are not world-renowned scientists in their field. At the same time, scientists sharing novel ideas that have not been published yet, carry the risk of being 'scooped'. This is probably a scientist's worst nightmare: seeing someone else publish the idea they have been working on. In this context, many innovative ideas are kept secret and it can take years before they are made available to the scientific community. This is the niche that the novel open access peer-reviewed journal Rethinking Ecology aims to fill by providing a platform for forward thinking and publication of novel ideas in all aspects of ecology, evolution and environmental science. Adding to its innovative nature, Rethinking Ecology joins the modern technologically advanced Pensoft journals published on next-generation platform ARPHA (abbreviation standing for Authoring, Reviewing, Publishing, Hosting and Archiving). Not only is the platform to provide fast-track and convenient publishing for the authors, reviewers and editors in Rethinking Ecology, as it takes care of a manuscript through all stages from authoring and reviewing to dissemination and archiving, but it is user-friendly to the readers as well, who enjoy publications in three formats (PDF, XML, HTML) and full of semantic enhancements. The innovative journal aims to encourage all scientists, regardless of their seniority, publication track record, gender, or country of origin, to publish perspective papers, so that they are put in the open for peers to discuss and build on, while credit is given where credit is due. Publishing these ideas early also draws attention from the scientific community, potential collaborators and potential funders. To further avoid potential bias, Rethinking Ecology implements double-blind peer review, with the journal supporting the notion that it is the content of a manuscript that matters. Moreover, reviewers will not be asked for a formal recommendation. Instead, they will comment and evaluate the work against a set of specific questions. Thus, each paper ends up with a score on Novelty, Feasibility, Scholarship and Literacy, so that only perspective papers with an emphasis on novel hypotheses and bold ideas are accepted for publication. Another innovative feature applied in the new journal is an Author Contribution Index (ACI), meaning that each publication will include a pie chart pointing to the contribution of each of the authors, estimated in percentage. This is the editors' answer to the so-called 'guest authorship' (i.e. inclusion of authors who did not significantly contribute to the work). It is no coincidence that Rethinking Ecology has a spiral-shaped unfurling fern leaf as a logo. Called Koru in the language of the indigenous Polynesian people of New Zealand - Māori, it symbolises novelty, new life and new beginning, as well as perpetual movement. "Each publication in Rethinking Ecology can be seen as the beginning of life for a new idea and its metaphorical unfurling as it reaches out to the scientific community," explain the journal editors in their very first Editorial at Rethinking Ecology. "We see Rethinking Ecology as an incubator for novel ideas, and a catalyst for new thinking," says the journal's Editor-in-Chief Dr Stephane Boyer, Unitec Institute of Technology, New Zealand. "In a world where scientific publications are increasingly open source and immediately available, it makes no sense to keep our most innovative ideas hidden from the world for years while we secretly test them," he elaborates. "Bold ideas and new hypotheses need to be shared, they may or may not turn into world-changing paradigm shifts, but they all have the potential to contribute to new thinking." "I am pleased to welcome a groundbreaking journal such as Rethinking Ecology to the Pensoft family, which has already built a nice and extensive portfolio of innovations in scholarly publishing," says Pensoft's founder and CEO Prof. Lyubomir Penev. "Seeing genuine ideas and hypotheses yet to be tested, and possibly, yet to revolutionise the ecological science is certainly a thing worthy of eager anticipation." ARPHA is the first end-to-end journal publishing solution that supports the full life cycle of a manuscript, from authoring through submission, peer review, publication and dissemination. With ARPHA, journals and publishers enjoy a complete set of services, which enable tailored, technologically advanced publishing solutions. The platform enables a variety of publishing models through a number of options for branding, production and revenue models to choose from.