927 resultados para security network


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The Association of South East Asian Nations (ASEAN) Secretariat and its member states have repeatedly professed their commitment to the protection and advancement of women’s economic and human rights. Such commitments have included the Declaration on the Advancement of Women in ASEAN in 1988, the ASEAN Declaration on the Elimination of Violence Against Women in 2004, and the ASEAN Declaration of Human Rights in 2012, as well as the establishment of the ASEAN Committee on Women in 2002 and the ASEAN Commission on the Promotion and Protection of Women and Children in 2009. However, none of these regional commitments or institutions expressly take up the core concern of the Women, Peace and Security (WPS) agenda set out in United Nations Security Council (UNSC) Resolution 1325 in 2000. ASEAN has no 1325 regional action plan and amongst the ASEAN membership, the Philippines is the only state that has adopted a 1325 National Action Plan (NAP). We explore the possible reasons for lack of ASEAN institutional engagement with 1325, outline the case for regional engagement, and suggest specific roles for ASEAN Secretariat, donor governments and individual member states to commit to UNSCR 1325 as a regional priority.

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A novel gray-box neural network model (GBNNM), including multi-layer perception (MLP) neural network (NN) and integrators, is proposed for a model identification and fault estimation (MIFE) scheme. With the GBNNM, both the nonlinearity and dynamics of a class of nonlinear dynamic systems can be approximated. Unlike previous NN-based model identification methods, the GBNNM directly inherits system dynamics and separately models system nonlinearities. This model corresponds well with the object system and is easy to build. The GBNNM is embedded online as a normal model reference to obtain the quantitative residual between the object system output and the GBNNM output. This residual can accurately indicate the fault offset value, so it is suitable for differing fault severities. To further estimate the fault parameters (FPs), an improved extended state observer (ESO) using the same NNs (IESONN) from the GBNNM is proposed to avoid requiring the knowledge of ESO nonlinearity. Then, the proposed MIFE scheme is applied for reaction wheels (RW) in a satellite attitude control system (SACS). The scheme using the GBNNM is compared with other NNs in the same fault scenario, and several partial loss of effect (LOE) faults with different severities are considered to validate the effectiveness of the FP estimation and its superiority.

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Discussions of public diplomacy in recent years have paid a growing amount of attention to networks. This network perspective is understood to provide insights into various issues of public diplomacy, such as its effects, credibility, reputation, identity and narratives. This paper applies the network idea to analyse China’s Confucius Institutes initiative. It understands Confucius Institutes as a global network and argues that this network structure has potential implications for the operation of public and cultural diplomacy that are perhaps underestimated in existing accounts of Chinese cultural diplomacy. In particular, it is noted that the specific setup of Confucius Institutes requires the engagement of local stakeholders, in a way that is less centralised and more networked than comparable cultural diplomacy institutions. At the same time, the development of a more networked for of public cultural diplomacy is challenged in practice by both practical issues and the configuration of China’s state-centric public diplomacy system informed by the political constitution of the Chinese state.

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The terrorist attacks of 11 September 2001 marked a turning point in international politics, representing a new type of threat that could not easily be anticipated or prevented through state-based structures of security alone. Opening up interdisciplinary conversations between strategic, economic, ethical and legal approaches to global terrorism, this edited book recognises a fundamental issue: while major crises initially tend to reinforce old thinking and behavioural patterns, they also allow societies to challenge and overcome entrenched habits, thereby creating the foundations for a new and perhaps more peaceful future. This volume addresses the issues that are at stake in this dual process of political closure, and therefore rethinks how states can respond to terrorist threats. The contributors range from leading conceptual theorists to policy-oriented analysts, from senior academics to junior researchers. The book explores how terrorism has had a profound impact on how security is being understood and implemented, and uses a range of hitherto neglected sources of insight, such as those between political, economic, legal and ethical factors, to examine the nature and meaning of security in a rapidly changing world.

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Pandemics are for the most part disease outbreaks that become widespread as a result of the spread of human-to-human infection. Beyond the debilitating, sometimes fatal, consequences for those directly affected, pandemics have a range of negative social, economic and political consequences. These tend to be greater where the pandemic is a novel pathogen, has a high mortality and/or hospitalization rate and is easily spread. According to Lee Jong-wook, former Director-General of the World Health Organization (WHO), pandemics do not respect international borders. Therefore, they have the potential to weaken many societies, political systems and economies simultaneously.

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This thesis explored traffic characteristics at the aggregate level for area-wide traffic monitoring of large urban area. It focused on three aspects: understanding a macroscopic network performance under real-time traffic information provision, measuring traffic performance of a signalised arterial network using available data sets, and discussing network zoning for monitoring purposes in the case of Brisbane, Australia. This work presented the use of probe vehicle data for estimating traffic state variables, and illustrated dynamic features of regional traffic performance of Brisbane. The results confirmed the viability and effectiveness of area-wide traffic monitoring.

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Abstract: Social network technologies, as we know them today have become a popular feature of everyday life for many people. As their name suggests, their underlying premise is to enable people to connect with each other for a variety of purposes. These purposes however, are generally thought of in a positive fashion. Based on a multi-method study of two online environments, Habbo Hotel and Second Life, which incorporate social networking functionality, we she light on forms of what can be conceptualized as antisocial behaviours and the rationales for these. Such behaviours included: scamming, racist/homophobic attacks, sim attacks, avatar attacks, non-conformance to contextual norms, counterfeiting and unneighbourly behaviour. The rationales for sub behaviours included: profit, fun, status building, network disruption, accidental acts and prejudice. Through our analysis we are able to comment upon the difficulties of defining antisocial behaviour in such environments, particularly when such environments are subject to interpretation vis their use and expected norms. We also point to the problems we face in conducting our public and private lives given the role ICTs are playing in the convergence of these two spaces and also the convergence of ICTs themselves.

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This paper presents a case study for the application of a Linear Engineering Asset Renewal decision support software tool (LinEAR) at a water distribution network in Australia. This case study examines how the LinEAR can assist water utilities to minimise their total pipeline management cost, to make a long-term budget based on mathematically predicted expenditure, and to present calculated evidence for supporting their expenditure requirements. The outcomes from the study on pipeline renewal decision support demonstrate that LinEAR can help water utilities to improve the decision process and save renewal costs over a long-term by providing an optimum renewal schedules. This software can help organisation to accumulate technical knowledge and prediction future impact of the decision using what-if analysis.

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This thesis introduces advanced Demand Response algorithms for residential appliances to provide benefits for both utility and customers. The algorithms are engaged in scheduling appliances appropriately in a critical peak day to alleviate network peak, adverse voltage conditions and wholesale price spikes also reducing the cost of residential energy consumption. Initially, a demand response technique via customer reward is proposed, where the utility controls appliances to achieve network improvement. Then, an improved real-time pricing scheme is introduced and customers are supported by energy management schedulers to actively participate in it. Finally, the demand response algorithm is improved to provide frequency regulation services.

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We have previously suggested that three proof requirements are essential for a sustainable land registration system. These were proof of identity, proof of ownership and authority to deal. Our attention in this article is drawn to the security framework that surrounds these requirements. We will ask whether the introduction of the Property Exchange of Australia (PEXA), and its underpinning regulatory regime will meet the concerns that we have in relation to them. In drawing out some problems with PEXA, we then offer an innovative idea, sourced from the transfer of equities that could serve to generate discussion on how we can ensure the Torrens system of land registration is sustainable for another 160 years. We also canvass some more incremental suggestions that evolve out of what we currently do, as well as outlining some comparative externally sourced ideas as to how the transfer and ownership of land can be made safer for all citizens. Such a goal is imperative when land transfer and secure property ownership is a critical component of the economic infrastructure of a modern society.

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In recent years, increasing focus has been made on making good business decisions utilizing the product of data analysis. With the advent of the Big Data phenomenon, this is even more apparent than ever before. But the question is how can organizations trust decisions made on the basis of results obtained from analysis of untrusted data? Assurances and trust that data and datasets that inform these decisions have not been tainted by outside agency. This study will propose enabling the authentication of datasets specifically by the extension of the RESTful architectural scheme to include authentication parameters while operating within a larger holistic security framework architecture or model compliant to legislation.