How did we do anything without it?: Indigenous art and craft micro-enterprise use and perception of new media technology

The degree of new media technologies that are broadly available has changed considerably ill nearly two decades since they emerged. How do Indigenous art and craft micro-enterprises use these technologies today? What are their perceptions of it? There is a lack of current data about use of computer technology by Indigenous-owned art and craft enterprises. A current snapshot is needed of the use and consequences of new media technologies in these organisations. This paper reports on results from a 2006 survey of small Indigenous-owned arts enterprises across Australia, including for-profit and non-profit enterprises, those from metropolitan, regional and remote areas, and including both art centres and other types of arts enterprises. The data suggest a major change over the previous decade in the degree that small Indigenous art and craft organisations use and perceive new media technology.

Classification of correlated internet traffic flows

A critical problem for Internet traffic classification is how to obtain a high-performance statistical feature based classifier using a small set of training data. The solutions to this problem are essential to deal with the encrypted applications and the new emerging applications. In this paper, we propose a new Naive Bayes (NB) based classification scheme to tackle this problem, which utilizes two recent research findings, feature discretization and flow correlation. A new bag-of-flow (BoF) model is firstly introduced to describe the correlated flows and it leads to a new BoF-based traffic classification problem. We cast the BoF-based traffic classification as a specific classifier combination problem and theoretically analyze the classification benefit from flow aggregation. A number of combination methods are also formulated and used to aggregate the NB predictions of the correlated flows. Finally, we carry out a number of experiments on a large scale real-world network dataset. The experimental results show that the proposed scheme can achieve significantly higher classification accuracy and much faster classification speed with comparison to the state-of-the-art traffic classification methods.

Book review : Hollywood's copyright wars : from Edison to the internet by Decherney, Peter

Exploration of landmark court cases and decisions in the copyright debate in the US, from Edison's attempts to extend to the fledgling film industry copyright law designed to protect photographs, to the Hollywood studios' responses to copyright breaches, and fair use exemptions granted to media educators and others since 2006.

Governance disclosure on the internet : the case of Australian State Government Departments

This paper examines corporate governance disclosures on the websites of Australian state government departments. The study focuses on the nature and extent of governance information and the ease of finding this information directly on department websites and also in annual reports which are downloadable from websites. Our sample comprises six departments from each of the six states in Australia, giving a sample size of 36 departments. Our findings indicate considerable variability in both the level of disclosure and the accessibility of the information disclosed. The study also highlights a lack of consensus regarding the meaning of governance and what governance comprises, together with the need for a more structured approach to communicating governance information to stakeholders.

Gaining a past, losing a future : Web 2.0 and internet historicity

This article explore how, in the first decade of the twenty-first century, the internet became historicised, meaning that its public existence is now explicitly framed through a narrative that locates the current internet in relation to a past internet. Up until this time, in popular culture, the internet had been understood mainly as the future-in-the-present, as if it had no past. The internet might have had a history, but it had no historicity. That has changed because of Web 2.0, and the effects of Tim O'Reilly's creative marketing of that label. Web 2.0, in this sense not a technology or practice but the marker of a discourse of historical interpretation dependent on versions, created for us a second version of the web, different from (and yet connected to) that of the 1990s. This historicising moment aligned the past and future in ways suitable to those who might control or manage the present. And while Web 3.0, implied or real, suggests the 'future', it also marks out a loss of other times, or the possibility of alterity understood through temporality.

Internet traffic classification by aggregating correlated naive bayes predictions

This paper presents a novel traffic classification scheme to improve classification performance when few training data arc available. In the proposed scheme, traffic flows are described using the discretized statistical features and flow correlation information is modeled by bag-of-flow (BoF). We solve the BoF-based traffic classification in a classifier combination framework and theoretically analyze the performance benefit. Furthermore, a new BoF-based traffic classification method is proposed to aggregate the naive Bayes (NB) predictions of the correlated flows. We also present an analysis on prediction error sensitivity of the aggregation strategies. Finally, a large number of experiments are carried out on two large-scale real-world traffic datasets to evaluate the proposed scheme. The experimental results show that the proposed scheme can achieve much better classification performance than existing state-of-the-art traffic classification methods.