977 resultados para Data Structures, Cryptology and Information Theory


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This paper contributes to a better understanding of geophysical characteristics and benthic communities in the Hopkins site in Victoria, Australia. An automated decision tree classification system was used to classify substrata and dominant biota communities. Geophysical sampling and underwater video data collected in this study reveals a complex bathymetry and biological structure which complements the limited information of benthic marine ecosystems in coastal waters of Victoria. The technique of combining derivative products from the backscatter and the bathymetry datasets was found to improve separability for broad biota and substrata categories over the use of either of these datasets alone.


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Findings from informetric research represent an important background resource to add to the mix of information useful for resolving difficult and ongoing problems in specific library environments or information service settings. This paper provides examples of informetric research that can be useful input to decision-making in the field of library management and information service provision. This overview takes four of the challenges that Michael Buckland outlined for library research as a way of guiding the discussion of ways that informetric work can be used to inform library decision-making. (1) References are made to relevant informetric work undertaken or conducted in Australia, by Australian researchers, or with Australian data.

Informetrics includes both quantitative and qualitative methods, which when used in combination can provide a rounded set of findings that has great validity for management, policy and service applications. Quantitative methodologies are generally based on bibliometric techniques, such as mining and analysis of data from various bibliographic and textual databases. Qualitative methods include survey, case study and historical approaches. Used in combination, each set of findings adds richness and other perspectives to an analysis.

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DDoS is a spy-on-spy game between attackers and detectors. Attackers are mimicking network traffic patterns to disable the detection algorithms which are based on these features. It is an open problem of discriminating the mimicking DDoS attacks from massive legitimate network accessing. We observed that the zombies use controlled function(s) to pump attack packages to the victim, therefore, the attack flows to the victim are always share some properties, e.g. packages distribution behaviors, which are not possessed by legitimate flows in a short time period. Based on this observation, once there appear suspicious flows to a server, we start to calculate the distance of the package distribution behavior among the suspicious flows. If the distance is less than a given threshold, then it is a DDoS attack, otherwise, it is a legitimate accessing. Our analysis and the preliminary experiments indicate that the proposed method- can discriminate mimicking flooding attacks from legitimate accessing efficiently and effectively.

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Aims and objectives. To identify the preferred content and delivery mode of education information for people aged 25 to 45 with type 2 diabetes to enable them to effectively self-manage their diabetes.

Background. People with type 2 diabetes are required to manage their own health and initiate behavioural changes. Self-management education and resources have typically been targeted at people aged 50 years and older. Little is known about the concerns and needs of younger people in managing type 2 diabetes, which are likely to be different from those of older people.

Design. A qualitative design was considered the most appropriate to elicit participants' views and perceptions of their type 2 diabetes information needs.

Methods. Data were obtained from one focus group (n = 9) and telephone interviews (n = 4) with people aged 25 to 45 with type 2 diabetes conducted in 2008.

Results. Implicit in participants' responses was their need to be active partners in managing their diabetes. Participants wanted information that is easy to understand, brief, consistent, age-specific and about a number of topics that are not adequately covered at present. They wanted a centralised source of information and a range of delivery mode options. Participants expressed some ambivalence about the Internet as a source of information. Participants also wanted age-specific group sessions, support from peers, psychological support, increased understanding of type 2 diabetes in the community, and a focus on preventing diabetes.

Conclusions. Young people with type 2 diabetes have specific diabetes needs and preferred information delivery modes. Participants felt current diabetes education programs do not cater specifically to their age group. Education and information resources need to be developed for the target group, addressing their content and format preferences.

Relevance to clinical practice. Health professionals need to utilise appropriate delivery modes and include information relevant to younger people when providing education information to young adults with type 2 diabetes.

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Background: Colorectal cancer (CRC) is the third most commonly diagnosed cancer in males and the second in females throughout the developed world. Population screening using fecal occult blood tests (FOBTs) facilitates early detection and greater chance of survival, but participation rates are low. We developed a Web-based decision tool to provide information tailored to an individual’s decision stage for CRC screening and attitude toward screening utilizing the Preventive Health Model (PHM) and Precaution Adoption Process Model (PAPM) as theoretical frameworks for screening behavior. We describe the practical steps employed in the tool’s design and the subsequent conduct of an exploratory study.
Objective: To design a decision tool for CRC screening and conduct an exploratory study among average-risk men and women to (1) test the impact of message type (tailored vs non-tailored) and message delivery modality (Web-based vs paper-based) on attitudes toward screening and screening uptake, and (2) investigate the acceptability of the decision tool and relevance of materials.
Methods: Participants (n = 100), recruited from a population sample of men and women aged 50-76 residing in urban Adelaide, Australia, were randomly assigned to a control group or one of 4 interventions: (1) Web-based and tailored information, (2) paper-based and tailored information, (3) Web-based and non-tailored (generic) information, or (4) paper-based and non-tailored information. Participation was augmented by snowball recruitment (n = 19). Questionnaires based on PHM variables were administered pre- and post-intervention. Participants were given the opportunity to request an FOBT. Following the intervention, participants discussed the acceptability of the tool.
Results: Full data were available for 87.4% (104/119) of participants. Post-intervention, perceived susceptibility scores for individuals receiving tailored information increased from mean 10.6 (SD 2.1) to mean 11.8 (SD 2.2). Scores on self-efficacy increased in the tailored group from mean 11.7 (SD 2.0) to mean 12.6 (SD 1.8). There were significant time x modality x message effects for social influence and salience and coherence, reflecting an increase in these scores for tailored Web-based participants only; social influence scores increased from mean 11.7 (SD 2.6) to mean 14.9 (SD 2.3), and salience and coherence scores increased from mean 16.0 (SD 2.2) to mean 17.7 (SD 2.1). There was no greater influence of modality or message type on movement toward a decision to screen or screening uptake, indicating that neither tailored messages nor a Web modality had superior effect. Overall, participants regarded tailored messages positively, but thought that the Web tool lacked “media richness.”
Conclusions: This exploratory study confirms that tailoring on PHM predictors of CRC screening has the potential to positively address attitudes toward screening. However, tailoring on these variables did not result in significantly increased screening uptake. Future research should consider other possible psychosocial influences. Mode of delivery did not affect outcomes, but as a delivery medium, the Web has economic and logistical advantages over paper.

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The steady increase of regulations and its acceleration due to the financial crisis heavily affect the management of regulatory compliance. Regulations, such as Basel III and Solvency II particularly impact data warehouses and lead to many organizational and technical changes. From an IS perspective modeling techniques for data warehouse requirement elicitation help to manage conceptual requirements. From a legal perspective attempts to visualize regulatory requirements – so called legal visualization approaches – have been developed. This paper investigates whether a conceptual modeling technique for regulatory-driven data warehouse requirements is applicable for representing data warehouse requirements in a legal environment. Applying the modeling technique H2 for Reporting in three extensive modeling projects provides three contributions. First, evidence for the applicability of a modeling technique for regulatory-driven data warehouse requirements is given. Second, lessons learned for further modeling projects are provided. Third, a discussion towards a combined perspective of information modeling and legal visualization is presented.

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The paper considers the achievement gap experienced by Victorian public school students. The paper uses a methodological approach informed by critical theory to interpret achievement levels between students from high and low socio-economic status. It analyses and discusses documented data and in doing this, reflects upon the work of Bourdieu emphasizing the reproductive nature of contemporary schooling. 

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Recent re-conceptualizations of the ‘public sphere’ facilitated a much needed shift in thinking about identity politics ‘from a substance … to a movement’ (Weibel and Latour, 2007). This laid the foundation for dissolving the ‘emanatist vision’ (Bourdieu, 1990) of self-explanatory and perpetual systems and structures towards the interrogation of actions and performances that simultaneously constitute and are affected by such wider socio-political realities. Most academic contributions, however, remain on a normative or theoretical level without offering empirical insights.

This article introduces Mana Taonga as an Indigenous Māori concept of cultural politics embedded in current museum practice at the Museum of New Zealand Te Papa Tongarewa (Te Papa). It creates a dialogue between Indigenous Māori practice and Western theory leading to a refined understanding of performative democracy within a museum as forum, or public sphere. The authors argue that a specific museum offers a particular place, space and empirical reality to interrogate seemingly universal concepts such as ‘culture’ and ‘politics’ by blending theoretical notions with an awareness of institutional contexts and practices.

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Computational Intelligence (CI) models comprise robust computing methodologies with a high level of machine learning quotient. CI models, in general, are useful for designing computerized intelligent systems/machines that possess useful characteristics mimicking human behaviors and capabilities in solving complex tasks, e.g., learning, adaptation, and evolution. Examples of some popular CI models include fuzzy systems, artificial neural networks, evolutionary algorithms, multi-agent systems, decision trees, rough set theory, knowledge-based systems, and hybrid of these models. This special issue highlights how different computational intelligence models, coupled with other complementary techniques, can be used to handle problems encountered in image processing and information reasoning.

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The autism spectrum disorder (ASD) is increasingly being recognized as a major public health issue which affects approximately 0.5-0.6% of the population. Promoting the general awareness of the disorder, increasing the engagement with the affected individuals and their carers, and understanding the success of penetration of the current clinical recommendations in the target communities, is crucial in driving research as well as policy. The aim of the present work is to investigate if Twitter, as a highly popular platform for information exchange, can be used as a data-mining source which could aid in the aforementioned challenges. Specifically, using a large data set of harvested tweets, we present a series of experiments which examine a range of linguistic and semantic aspects of messages posted by individuals interested in ASD. Our findings, the first of their nature in the published scientific literature, strongly motivate additional research on this topic and present a methodological basis for further work.

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Understanding the waysthatinternational students seek information and help in the host country is essential forimprovingacademic, social, cultural,and welfare support for this student cohort. However,there is a dearth of literature that documentshowinternational studentsin the vocational education and training (VET) sector do so. This paper aims to fill thisgap. Based on in-depth interviews with 30 Chinese international students undertaking diploma and associate degree programsin Australia,this research shows thatthe ways in which Chinese international students seek help prior to their departure and after their arrival at the host country, largely dependson the nature of the issuesthey confront. The data also reveals that students’use of education agents is not limited to the pre-departure stage,asisindicated in theexisting literature, but throughout their journey in the host country. Notably,the role of agents has become increasingly important in Chinese international students’ decision-making processesduring their transition from diploma to associate degree and higher education programs.

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Side information, or auxiliary information associated with documents or image content, provides hints for clustering. We propose a new model, side information dependent Chinese restaurant process, which exploits side information in a Bayesian nonparametric model to improve data clustering. We introduce side information into the framework of distance dependent Chinese restaurant process using a robust decay function to handle noisy side information. The threshold parameter of the decay function is updated automatically in the Gibbs sampling process. A fast inference algorithm is proposed. We evaluate our approach on four datasets: Cora, 20 Newsgroups, NUS-WIDE and one medical dataset. Types of side information explored in this paper include citations, authors, tags, keywords and auxiliary clinical information. The comparison with the state-of-the-art approaches based on standard performance measures (NMI, F1) clearly shows the superiority of our approach.

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In the past few years, libraries have started to design public programs that educate patrons about different tools and techniques to protect personal privacy. But do end user solutions provide adequate safeguards against surveillance by corporate and government actors? What does a comprehensive plan for privacy entail in order that libraries live up to their privacy values? In this paper, the authors discuss the complexity of surveillance architecture that the library institution might confront when seeking to defend the privacy rights of patrons. This architecture consists of three main parts: physical or material aspects, logical characteristics, and social factors of information and communication flows in the library setting. For each category, the authors will present short case studies that are culled from practitioner experience, research, and public discourse. The case studies probe the challenges faced by the library—not only when making hardware and software choices, but also choices related to staffing and program design. The paper shows that privacy choices intersect not only with free speech and chilling effects, but also with questions that concern intellectual property, organizational development, civic engagement, technological innovation, public infrastructure, and more. The paper ends with discussion of what libraries will require in order to sustain and improve efforts to serve as stewards of privacy in the 21st century.

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Esta tese de Doutorado é dedicada ao estudo de instabilidade financeira e dinâmica em Teoria Monet ária. E demonstrado que corridas banc árias são eliminadas sem custos no modelo padrão de teoria banc ária quando a popula ção não é pequena. É proposta uma extensão em que incerteza agregada é mais severa e o custo da estabilidade financeira é relevante. Finalmente, estabelece-se otimalidade de transições na distribui ção de moeda em economias em que oportunidades de trocas são escassas e heterogêneas. Em particular, otimalidade da inflação depende dos incentivos dinâmicos proporcionados por tais transi ções. O capí tulo 1 estabelece o resultado de estabilidade sem custos para economias grandes ao estudar os efeitos do tamanho populacional na an álise de corridas banc árias de Peck & Shell. No capí tulo 2, otimalidade de dinâmica é estudada no modelo de monet ário de Kiyotaki & Wright quando a sociedade é capaz de implementar uma polí tica inflacion ária. Apesar de adotar a abordagem de desenho de mecanismos, este capí tulo faz um paralelo com a an álise de Sargent & Wallace (1981) ao destacar efeitos de incentivos dinâmicos sobre a interação entre as polí ticas monet ária e fiscal. O cap ítulo 3 retoma o tema de estabilidade fi nanceira ao quanti car os custos envolvidos no desenho ótimo de um setor bancário à prova de corridas e ao propor uma estrutura informacional alternativa que possibilita bancos insolventes. A primeira an álise mostra que o esquema de estabilidade ótima exibe altas taxas de juros de longo prazo e a segunda que monitoramento imperfeito pode levar a corridas bancárias com insolvência.

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Motivated by a novel stylized fact { countries with isolated capital cities display worse quality of governance { we provide a framework of endogenous institutional choice based on the idea that elites are constrained by the threat of rebellion, and that this threat is rendered less e ective by distance from the seat of political power. In established democracies, the threat of insurgencies is not a binding constraint, and the model predicts no correlation between isolated capitals and misgovernance. In contrast, a correlation emerges in equilibrium in the case of autocracies. Causality runs both ways: broader power sharing (associated with better governance) means that any rents have to be shared more broadly, hence the elite has less of an incentive to protect its position by isolating the capital city; conversely, a more isolated capital city allows the elite to appropriate a larger share of output, so the costs of better governance for the elite, in terms of rents that would have to be shared, are larger. We show evidence that this pattern holds true robustly in the data. We also show that isolated capitals are associated with less power sharing, a larger income premium enjoyed by capital city inhabitants, and lower levels of military spending by ruling elites, as predicted by the theory.