Fatal women in renaissance tragedy, 1550-1650

Drawing upon the femme fatale of film noir, this thesis examines the presence of a fatal woman on the Renaissance stage. The thesis analyses the representation of emotionally and sexually independent women as fatally attractive to, yet ultimately destructive of, the men they entrap and seduce.

Testing the influence of survey method for building species distribution models of marine fishes

Accurate estimates of fish species occurrence are important to any species’ assessments and habitat suitability model. However, surveys of marine fishes are often biased by method. Surveys of marine fishes are often biased by method. Such bias could influence the interpretation of any habitat suitability model. With increasing emphasis on non-destructive sampling, underwater video techniques are commonly used without a thorough understanding of their advantages and disadvantages. This study compared data collected from baited remote underwater stereo-video systems and towed-video systems to provide occurrence data to develop habitat suitability models of nine temperate marine fishes. While numerous studies have compared modelling approaches in terms of model performance (i.e. via AUC or Kappa) the point of this paper was to highlight how very sensiblelooking, well-performing (based on AUC) models can provide different predictions of habitat suitability depending on which dataset is used.

Soccer stinger (suspense) SFX

A sound designed stinger featuring a suspense heartbeat to a penalty kick with a goal and crowd cheers with vuvuzelas.

Football Stinger SFX

A sound designed stinger featuring a penalty kick with a goal and crowd cheers with vuvuzelas.

Audience clapping SFX (dry)

A sound recording and post-production design of audience clapping. It has been left dry for your own editing purposes.

Audience laughing

Audience Laughing is a sound effect of an audience laughing.

Distributed denial of service (DDoS) detection by traffic pattern analysis

In this paper, we propose a behavior-based detection that can discriminate Distributed Denial of Service (DDoS) attack traffic from legitimated traffic regardless to various types of the attack packets and methods. Current DDoS attacks are carried out by attack tools, worms and botnets using different packet-transmission rates and packet forms to beat defense systems. These various attack strategies lead to defense systems requiring various detection methods in order to identify the attacks. Moreover, DDoS attacks can craft the traffics like flash crowd events and fly under the radar through the victim. We notice that DDoS attacks have features of repeatable patterns which are different from legitimate flash crowd traffics. In this paper, we propose a comparable detection methods based on the Pearson’s correlation coefficient. Our methods can extract the repeatable features from the packet arrivals in the DDoS traffics but not in flash crowd traffics. The extensive simulations were tested for the optimization of the detection methods. We then performed experiments with several datasets and our results affirm that the proposed methods can differentiate DDoS attacks from legitimate traffics.

The application of Cd Se/ZnS quantum dots and confocal laser scanning microscopy for three-dimensional imaging of nanfibrous structures

This paper reports a fast, accurate, and non-destructive three-dimensional imaging approach based on using quantum dots and confocal laser scanning microscopy to get three-dimensional images of internal pore structure of the nanofibrous materials. A practical method of making the fiber fluorescent using quantum dots was applied before three-dimensional imaging by confocal laser scanning microscopy. Fibrous scaffolds with different porosity parameters produced by electrospinning and their three-dimensional pore structure was evaluated by this approach. Furthermore, the introduced approach can be used to measure the pore interconnectivity of the scaffold

Cultural policy in Australia

 In early 2010, more than 15,000 people gathered on Bourke Street in front of Victoria’s Parliament building to register their protest against an unpopular government decision.1 The colourful crowd chanted and marched, sported placards and banners, and listened to speeches by local identities.

What were they protesting about? Climate change? Refugees? The war in Afghanistan?

No, they were protesting about a decision by Liquor Licensing Victoria to enforce onerous security requirements on live music venues in Melbourne. The new regulations had led to the closure of one of Melbourne’s best-loved rock venues, a Collingwood pub named The Tote. Many other venues were threatened with the same fate.

This was a protest about cultural policy.

Breaking up is hard to do : the economic impact of provisional funding contingent upon evidence development

Funding contingent upon evidence development (FED) has recently been the subject of some considerable debate in the literature but relatively little has been made of its economic impact. We argue that FED has the potential to shorten the lag between innovation and access but may also (i) crowd-out more valuable interventions in situations in which there is a fixed dedicated budget; or (ii) lead to a de facto increase in the funding threshold and increased expenditure growth in situations in which the programme budget is open-ended. Although FED would typically entail periodic review of provisional or interim listings, it may prove difficult to withdraw funding even at cost/QALY ratios well in excess of current listing thresholds. Further consideration of the design and implementation of FED processes is therefore required to ensure that its introduction yields net benefits over existing processes.

A novel defect detection and identification method in optical inspection

Optical inspection techniques have been widely used in industry as they are non-destructive. Since defect patterns are rooted from the manufacturing processes in semiconductor industry, efficient and effective defect detection and pattern recognition algorithms are in great demand to find out closely related causes. Modifying the manufacturing processes can eliminate defects, and thus to improve the yield. Defect patterns such as rings, semicircles, scratches, and clusters are the most common defects in the semiconductor industry. Conventional methods cannot identify two scale-variant or shift-variant or rotation-variant defect patterns, which in fact belong to the same failure causes. To address these problems, a new approach is proposed in this paper to detect these defect patterns in noisy images. First, a novel scheme is developed to simulate datasets of these 4 patterns for classifiers' training and testing. Second, for real optical images, a series of image processing operations have been applied in the detection stage of our method. In the identification stage, defects are resized and then identified by the trained support vector machine. Adaptive resonance theory network 1 is also implemented for comparisons. Classification results of both simulated data and real noisy raw data show the effectiveness of our method.

Raining blood and money

A fictocritical piece based on a fire in New York.
A girl jumps from the ninth floor of the Asch Building. People on the sidewalk are screaming for her not to jump. But she has to jump. As she stands on the ledge, her back against the open window, the fire is burning the clothes off her back. She has her head bent forward so her hair doesn't catch alight as she waves a handkerchief at the crowd. The windows on the floor beneath her start to explode. Tongues of flame lick at her feet. So she jumps. It's a definite jump, as she bends her knees before she leaps over the edge. It's not a graceful jump. Her arms begin to flail as she struggles to stay upright. There are gasps from the crowd, a few screams. Some people turn away. Others are transfixed, watching her as she falls. Suddenly, her dress catches on a hook jutting out of wall below and she is suspended in the air, mid-fall. But the ladders still can't reach her and so it is just a cruel pause in her inevitable death. She hangs there like a ragdoll until her dress burns itself free from her body and she resumes her fall. She lands on the pavement on the west - ward side of New York University building. Thud-dead...

Retake Melbourne : mobile application for re-photography and comparative imaging research

A project of interpretive and comparative re-photography, making use of the collection of Mark Strizic's images and the documents related to his career, held by the State Library, as a basis. Strizic died in 2012. It is now 50 years since his work began to illustrate the period of the 1960s when architecture of the Gold Rush era coexisted side-by-side with, and was being replaced by, curtain-glass high-rise office buildings. It is the position of the researchers that not sufficient attention has been given to Mark Strizic’s reaction to what he saw as a plague of ugliness pervading Australian city-scapes, developing a distinctive aesthetic that in turn made his work useful to commentators like Robin Boyd and David Saunders. Strizic operated from a unique perspective as a migrant with an architectural heritage from his father Zdenko, prominent architecture professor in Croatia, and visiting professor of architecture at Melbourne University in the 1960s. Precise re-photography alongside creative work will enable a comparison of Melbourne now with fifty years ago. The public will be able to participate in and contribute to the project via a crowd-funded custom-made app. Half a century has passed since Strizic made his photographs of Melbourne. In so many cases buildings have disappeared or altered, streetscapes have changed and the appearance of Melburnians have changed as have their habits of using the city. A selection of Strizic’s photographs of Melbourne locations can be rephotographed by the public using the methods devised by Mark Klett, assisted by the app software. This will provide a core of documentary imagery of benefit in framing and completing the rest of this project and to future research through comparisons over the time span. The app enables the location on a map of the site and orientation of photographs taken by Strizic. Photographs are downloaded onto users’ devices from the online SLV Strizic picture catalogue. They appear in the app as transparent templates so that users can line up their own re-photograph with accuracy. They will be able to upload their resultant images to a server and they will be available to the Library as an archive enabling direct comparison with the Strizic holdings. It is anticipated that involvement and participation of the public will elevate the profile of the project and publicise the SLV collections and encourage their increased usage and popularity.