Creating healthy food environments in NSW: A knowledge and evidence synthesis to inform advocacy and action. Seven separate documents across the domains: Food promotion

Reviews and synthesizes evidence to make recommendations on policy actions improve food environments in the area of food promotion for NSW Health

Creating healthy food environments in NSW: A knowledge and evidence synthesis to inform advocacy and action. Seven separate documents across the domains: Food retail

Reviews and synthesizes nutrition policy actions to improve food retail for NSW Health

Creating healthy food environments in NSW: A knowledge and evidence synthesis to inform advocacy and action. Seven separate documents across the domains: Overview

Summaries evidence across seven domains of potential food policy action to improve food environments and food supply to prevent obesity for NSW Health

A comparative study of early childhood curriculum documents focused on education for sustainability in South Korea and Australia

This thesis is about a comparative study of early childhood education (ECE) curriculum documents focused on education for sustainability (EfS) in South Korea and Australia. It examined how the national ECE curriculum documents in two culturally different contexts align with contemporary concepts of sustainability and activist early childhood education for sustainability (ECEfS) principles. Drawing on systems theory, Korean and Australian ECE curriculum documents were used as the primary sources for this study within the framework of critical document analysis (CDA). This study offers a step forward in developing culturally inclusive/holistic understandings of sustainability and more contextualised/localised approaches to ECEfS.

A blind indic script recognizer for multi-script documents

We report a hierarchical blind script identifier for 11 different Indian scripts. An initial grouping of the 11 scripts is accomplished at the first level of this hierarchy. At the subsequent level, we recognize the script in each group. The various nodes of this tree use different feature-classifier combinations. A database of 20,000 words of different font styles and sizes is collected and used for each script. Effectiveness of Gabor and Discrete Cosine Transform features has been independently, evaluated using nearest neighbor linear discriminant and support vector machine classifiers. The minimum and maximum accuracies obtained, using this hierarchical mechanism, are 92.2% and 97.6%, respectively.

Localization of handwritten text in documents using moment invariants and Delaunay triangulation

This paper describes an approach based on Zernike moments and Delaunay triangulation for localization of hand-written text in machine printed text documents. The Zernike moments of the image are first evaluated and we classify the text as hand-written using the nearest neighbor classifier. These features are independent of size, slant, orientation, translation and other variations in handwritten text. We then use Delaunay triangulation to reclassify the misclassified text regions. When imposing Delaunay triangulation on the centroid points of the connected components, we extract features based on the triangles and reclassify the text. We remove the noise components in the document as part of the preprocessing step so this method works well on noisy documents. The success rate of the method is found to be 86%. Also for specific hand-written elements such as signatures or similar text the accuracy is found to be even higher at 93%.

Frechet distance based approach for searching online handwritten documents

We propose a novel, language-neutral approach for searching online handwritten text using Frechet distance. Online handwritten data, which is available as a time series (x,y,t), is treated as representing a parameterized curve in two-dimensions and the problem of searching online handwritten text is posed as a problem of matching two curves in a two-dimensional Euclidean space. Frechet distance is a natural measure for matching curves. The main contribution of this paper is the formulation of a variant of Frechet distance that can be used for retrieving words even when only a prefix of the word is given as query. Extensive experiments on UNIPEN dataset(1) consisting of over 16,000 words written by 7 users show that our method outperforms the state-of-the-art DTW method. Experiments were also conducted on a Multilingual dataset, generated on a PDA, with encouraging results. Our approach can be used to implement useful, exciting features like auto-completion of handwriting in PDAs.

Internet privatization, WikiLeaks, and free expression

In late 2010, the online nonprofit media organization WikiLeaks published classified documents detailing correspondence between the U.S. State Department and its diplomatic missions around the world, numbering around 250,000 cables. These diplomatic cables contained classified information with comments on world leaders, foreign states, and various international and domestic issues. Negative reactions to the publication of these cables came from both the U.S. political class (which was generally condemnatory of WikiLeaks, invoking national security concerns and the jeopardizing of U.S. interests abroad) and the corporate world, with various companies ceasing to continue to provide services to WikiLeaks despite no legal measure (e.g., a court injunction) forcing them to do so. This article focuses on the legal remedies available to WikiLeaks against this corporate suppression of its speech in the U.S. and Europe since these are the two principle arenas in which the actors concerned are operating. The transatlantic legal protection of free expression will be considered, yet, as will be explained in greater detail, the legal conception of this constitutional and fundamental right comes from a time when the state posed the greater threat to freedom. As a result, it is not generally enforceable against private, non-state entities interfering with speech and expression which is the case here. Other areas of law, namely antitrust/competition, contract and tort will then be examined to determine whether WikiLeaks and its partners can attempt to enforce their right indirectly through these other means. Finally, there will be some concluding thoughts about the implications of the corporate response to the WikiLeaks embassy cables leak for freedom of expression online.

Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines

Extensible Markup Language ( XML) has emerged as a medium for interoperability over the Internet. As the number of documents published in the form of XML is increasing, there is a need for selective dissemination of XML documents based on user interests. In the proposed technique, a combination of Adaptive Genetic Algorithms and multi class Support Vector Machine ( SVM) is used to learn a user model. Based on the feedback from the users, the system automatically adapts to the user's preference and interests. The user model and a similarity metric are used for selective dissemination of a continuous stream of XML documents. Experimental evaluations performed over a wide range of XML documents, indicate that the proposed approach significantly improves the performance of the selective dissemination task, with respect to accuracy and efficiency.

"Standards are living documents ..."

"Standards are living documents which reflect progress in science, technology and systems" - Standards Australia.

Selective dissemination of XML documents based on genetically learned user model and Support Vector Machines

Extensible Markup Language ( XML) has emerged as a medium for interoperability over the Internet. As the number of documents published in the form of XML is increasing, there is a need for selective dissemination of XML documents based on user interests. In the proposed technique, a combination of Adaptive Genetic Algorithms and multi class Support Vector Machine ( SVM) is used to learn a user model. Based on the feedback from the users, the system automatically adapts to the user's preference and interests. The user model and a similarity metric are used for selective dissemination of a continuous stream of XML documents. Experimental evaluations performed over a wide range of XML documents, indicate that the proposed approach significantly improves the performance of the selective dissemination task, with respect to accuracy and efficiency.

Itämafia : Uhkakuvapolitiikka, rikosilmiöt ja kulttuuriset merkitykset

The Eastern Mafia Threat policy, crime phenomena, and cultural meanings An interdisciplinary research on the crime phenomena and the threat policy relating to the organized crime and the mafia of Russia and Estonia is based on 151 expert interviews, statistics, documents, research literature, and press material. The main part of the material consists of interviews of the Finnish, Estonian and Russian police authorities specialized in the problem of organized crime, and the reports on the crime situation drawn up in the Finnish diplomatic representations in Tallinn and St Petersburg. The interviews have been gathered in the years 1996-2001. The main theoretical tools of the research are constructivist research on social problems, and political psychology. Definitional processes of social problems and cultural semantic structures behind them are identified in the analysis and connected to the analysis of the crime cases. Both in the Anglo-American and Russian cultural frames there appears an inflated and exaggerated talk, according to which the mafia rules everything in Russia and is spreading everywhere. There is the traditional anti-Semitic paranoia in the core of this cultural symbiosis produced by Russian legal nihilism, the theory of totalitarianism of Sovietology, and the inertia of Russian anti-capitalism. To equate the Sicilian Mafia with Russia is an anachronism, since no empirical proof of systematic uncontrolled violence or absolute power vacuum in Russia can be found. In the Anglo-American policy of threat images, "the Russian mafia" was seen as a commodified conspiracy theory, which the police, the media, and the research took advantage of, blurring the line between fact and fiction. In Finland, the evolution of the policy of threat images proceeded in three phases: Initially, extensive rolling of refugees and criminals from Russia to Finland was emphasized in the beginning of the 1990's. In the second phase, the eastern mafia was said to infiltrate all over Finnish society and administration. Finland was, however, found immune to this kind of spreading. In the third phase, in the 21st century, the organized crime of Finland was said to be lead from abroad. In Finland, the policy of threat images was especially canalised to moral panics connected to "eastern prostitution". In Estonia, the policy of threat images emphasized the crime organized by the Russian authorities and politicians in order to weaken Estonia. In Russia, the policy of threat images emphasized the total criminalizing of society caused by criminal capitalism. In every country, the policy of threat images was affected by a so-called large-group identity, a term by Vamik Volkan, in which a so-called chosen trauma caused a political paranoia of an outer and inner danger. In Finland, procuring, car theft, and narcotics crimes were at their widest arranged by the Finnish often with the help of the Estonians. The Russians had no influence in the most serious violent crimes in Finland, although the number of assassinations were at least 5, 000 in Russia in the 1990's. In Russia, the assassinations were on one hand connected to marital problems, on the other hand to the pursuit of public attention and a hoped-for effect by the aid of the murder of an influential person. In the white-collar crime phenomena between Finland and Russia, the Finnish state and Finnish corporations gained remarkable benefit of the frauds aimed at the states of the Soviet Union and Russia in 1980's-21st century. The situation of Estonia was very difficult compared to that of Russia in the 1990's, which was manifested in the stagnation of the Estonian police and judicial authorities, the crimes of the police and the voluntary paramilitary organization, bomb explosions, the rebellion called "the jaeger crisis" in the voluntary paramilitary organization, and the "blood autumn" of Eastern Virumaa, in other words terror. The situation of Estonia had a powerful effect on the crime situation of Finland and on the security of the Finnish diplomats. In the continuum of the Finnish policy of threat images, Russia and the Russians were, however, presented as a source of a marked danger.

Selective dissemination of XML documents using GAs and SVM

XML has emerged as a medium for interoperability over the Internet. As the number of documents published in the form of XML is increasing there is a need for selective dissemination of XML documents based on user interests. In the proposed technique, a combination of Self Adaptive Migration Model Genetic Algorithm (SAMCA)[5] and multi class Support Vector Machine (SVM) are used to learn a user model. Based on the feedback from the users the system automatically adapts to the user's preference and interests. The user model and a similarity metric are used for selective dissemination of a continuous stream of XML documents. Experimental evaluations performed over a wide range of XML documents indicate that the proposed approach significantly improves the performance of the selective dissemination task, with respect to accuracy and efficiency.