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The New Zealand and Australian Photobook of the Year Awards, exhibited at the HR Gallop Gallery, Wagga Wagga, N.S.W. Australia
No full textNew Zealand Photo Book Of The Year Awards touring exhibition, presented by Photobook New Zealand and Momento Pro. The Awards have been established to celebrate excellence and innovation in photo book creation, and to showcase the work of New Zealand photo artists to a growing local and international audience. The finalist's books were exhibited at the HR Gallop Gallery, Wagga Wagga, N.S.W. Australia. 28 May – 8 June, 201
An expert-driven causal model of the rhino poaching problem
No full textA significant challenge in ecological modelling is the lack of complete sets of high-quality data. This is especially true in the rhino poaching problem where data is incomplete. Although there are many poaching attacks, they can be spread over a vast surface area such as in the case of the Kruger National Park in South Africa, which is roughly the size of Israel. Bayesian networks are useful reasoning tools and can utilise expert knowledge when data is insufficient or sparse. Bayesian networks allow the modeller to incorporate data, expert knowledge, or any combination of the two. This flexibility of Bayesian networks makes them ideal for modelling complex ecological problems. In this paper an expert-driven model of the rhino poaching problem is presented. The development as well as the evaluation of the model is performed from an expert perspective. Independent expert evaluation is performed in the form of queries that test different scenarios. Structuring the rhino poaching problem as a causal network yields a framework that can be used to reason about the problem, as well as inform the modeller of the type of data that has to be gathered
Swamp Soul 37 South (Keyboardist), Hamilton Gardens Arts Festival 2017
No full textKeyboardist in Swamp Soul 37 South for public gig at the Hamilton Gardens Arts Festival, 26 February 2017
Progress Junction, by Sneaky Feelings
No full textCD of original musical compositions by band of which I am a major composer and performe
A Cluster-based Recommender System
Get PDFIntroduction: E-commerce is growing rapidly offering a vast number of products and services to the users. Facing with a wide range of options, users cannot decide which one would be the most suitable option. Recommender systems help users to find the most suitable item easier and faster. To do this, recommender systems apply machine learning algorithms to user’s data to build sophisticated models to predict the user’s behavior in the future. There are many recommender systems employed by companies to increase their profitability. Some examples include Amazon, Movielens, Youtube, Facebook, and Linkedin.
Objectives: The aim of this project is to provide a cluster-based recommender system which cluster users based on their history (previous interactions with the system) to increase the accuracy of recommendations.
Method: The proposed approach consists of two phases: offline and online. In the offline phase, users are clustered using genetic algorithm. In the online phase, the appropriate cluster or clusters and neighborhood are selected for the target user. Then, his/her interesting items (not chosen yet) are determined using interesting items of his/her neighbors.
Results: After implementing the proposed approach for the recommender system, it was evaluated in terms of accuracy (the portion of recommended items which have been interesting for the users) and compared it with several existing recommender systems. The results show that our approach outperforms other approaches.
Conclusions: Having a good recommender system encourages users to buy new products, find new friends, or watch new videos. On the contrary, an inaccurate recommender system may discourage the users and motivates them to sign out of the system or ignore all recommendations.
The approach we proposed for recommendation achieved promising results. We hope by completing the project we can use this approach in developing commercial recommender systems
Duplex Output Software Effort Estimation Model with Self-guided Interpretation
No full textContext: Software effort estimation (SEE) plays a key role in predicting the effort needed to complete software development task. However, the conclusion instability across learners has affected the implementation of SEE models. This instability can be attributed to the lack of an effort classification benchmark that software researchers and practitioners can use to facilitate and interpret prediction results. Objective: To ameliorate the conclusion instability challenge by introducing a classification and self-guided interpretation scheme for SEE. Method: We first used the density quantile function to discretise the effort recorded in 14 datasets into three classes (high, low and moderate) and built regression models for these datasets. The results of the regression models were an effort estimate, termed output 1, which was then classified into an effort class, termed output 2. We refertothe models generated inthis study as duplex output models as they return twooutputs. Theintroduced duplex output models trained with the leave-one-out cross validation and evaluated with MAE, BMMRE and adjusted R2, can be used to predict both the software effort and the class of software effort estimate. Robust statistical tests (Welch's t-test and Kruskal-Wallis H-test) were used to examine the statistical significant differences in the models’ prediction performances. Results: Weobserved the following: (1) the duplex output models not only predicted the effort estimates, they also offeredaguidetointerpretingtheeffortexpended; (2)incorporatingthegeneticsearch algorithmintothe duplex output model allowed the sampling of relevant features for improved prediction accuracy; and (3) ElasticNet, a hybrid regression, provided superior prediction accuracy over the ATLM, the state-of-the-art baseline regression. Conclusion: The results show that the duplex output model provides a self-guided benchmark for interpreting estimated software effort. ElasticNet can also serve as a baseline model for SEE
Sonoscopia
No full textWorld Premiere
Sonoscopia explores the relationship between what we see and what we hear. Live art and orchestral music take our senses from a single musical note and point of light to an opulent cacophony.
Through melodies and abstraction, Sonoscopia is a creative journey of sight and sound.
Indulge your eyes with projections and live painting by artist Paul Bradley. Nine prominent Waikato musicians will perform contemporary music and soundscapes composed by Dr Jeremy Mayall.
Commission from Orchestras Central
Collaboration with Paul Bradley
45min work for chamber orchestra and electronic
From Dusk Till Dawn
No full textA premiere of a new revised edition from an original sketch which now features a sonic accompaniment.
The idea behind the piece is simply of a group of woodland sprites playing in the forest whilst everyone else sleeps. It is a somewhat playfully naive conversation between magical creatures. The piece is also punctuated by three periods of rest in the piece which are signposted by a slowing in pace where the performer hums some low notes into the flute, resulting in a restful, airy tone colour.
Performed by Adrianna Lis (Poland/NZ
To Sleep - Hamilton Gardens Arts Festival 2017
No full textA CONCERT DESIGNED TO SLEEP THROUGH.
“An experience like no other”- Write On
To Sleep is a live multimedia music, light and art performance where the audience is encouraged to feel comfortable sleeping through it til dawn. Kent Macpherson, Jeremy Mayall, Yotam Levy and Paul Bradley will create a live improvisation that explores the liminal zone between sleep and wakefulness.
Saturday, 25 February 2017, 9:00pm - Sunday 26 Feb, 7:00am sunrise.
RIVERSIDE TERRACE.
TO SLEEP is the second longest continuous piece of music to ever be performed anywhere (after Organ²/ASLSP (As SLow aS Possible by John Cage which is scheduled to last 639 years!). Also, this live performance will be the first “sleep concert” to take place in New Zealand. While this concert format has been explored in the US, as well as through the touring work of Max Richter with his “SLEEP” project, this local interpretation presents an entirely new sonic and visual experience for sleeping.
Hamilton-based contemporary composer/performers Jeremy Mayall and Kent Macpherson have been building a strong collaborative process since Mayall’s return to Hamilton in 2016. Their recent musical collaborations have moved through uptempo popular music, experimental dub and electronica, cinematic soundscapes, and the minimalist ambient long form electronica of ‘DR. MESMER’S PRIVATE ARMY’. Their collective approach to music making really exists in the colour of sound, the magic of the moment where, inspired by space and time, fleeting ideas can create new compositions based around musical fragments and field recordings.
TO SLEEP is an experiment. It is an exploration of music’s capacity to induce meditative, otherworldly and perhaps even psychedelic states, through the process of a communal nights sleep. Drawing primary inspiration from reading about the ambient ‘happenings’ of Robert Rich in California in the 1980s - these were immersive all-night shows, performed to sleeping audiences, that stretched the definition of a ‘concert’ beyond all familiar limits. These much-mythologised happenings are part physical experience, part community intervention, part scientific experiment, part mystic ritual.
Macpherson and Mayall, along with cellist Yotam Levy will perform a synthesis of found sound, prepared drones, and live instrumental playing. The focus of the event is around everything being very slow. Anything resembling a melody might unfold over a half an hour or so. The concentration is really one of subtlety, slowness, extremely drawn out transitions, and exploring an unfolding sense of continuity. The intention with TO SLEEP is to explore the liminal zone between sleep and wakefulness. When the music is paired with live visual art by Paul Bradley and lighting by Aaron Chesham, the entire experience aims to become linked with our own sense of consciousness. Creating a space where the audience can guide themselves into a state of half-sleep and notice the way that their brains shift perceptions into an internal world.
Through deconstructing the conventions of traditional compositional and performative approaches, TO SLEEP will explore the potential for dreamlike experiences between the hypnagogic and hypnopompic states - the technical words for when you’re going into sleep and out of sleep. This is a 9 hour long form musical composition within which different ideas, textures, fragments, themes and variations will be woven in what essentially becomes an endurance performance event! The performers work hard to make the audience feel relaxed, and allow themselves to become part of the immersive multimedia journey.
Mayall has composed a structural guide to shape the 9hour composition as built and developed by the performers
What are the chances?
No full textA collaborative audio-visual installation with James Sutherland.
What Are The Chances?
Synchronicity: The experience of two or more events that are causally unrelated, yet are experienced as occurring together in a meaningful manner.
Apophenia: the human tendency to perceive meaningful patterns within random data.
The images and music in this piece are related, or at least they seem to be. There is a beginning, a middle and an end. They last for roughly the same amount of time; there is a crescendo as the clouds combine, crashing inexorably in soft collision and from this, we find parallels and create meaning. We have expectations of how this should play.
All is not as it seems.
https://vimeo.com/21548277