21 resultados para communication infrastructure

em Deakin Research Online - Australia


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Energy and communication infrastructure for disaster resilience in rural and regional Australia, Regional Studies. Australia's rural and regional areas are prone to frequent natural disasters with extensive socio-economic impacts. Resultant damage to large-grid energy and communication networks can lead to widespread, lengthy outages, signalling the need for alternative infrastructure developments to aid disaster risk reduction and resilience-building (DRRR). Distributed smart renewable energy micro-grid systems can mitigate adverse impacts through outage prevention and rapid service restoration, increase rural and regional resilience, and offer communities opportunities for socio-economic development. However, renewable energy and digital communications policy uncertainty currently adversely affects disaster preparedness and investment in alternative infrastructure, undermining rural and regional futures.

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This paper proposes a practical and cost-effective approach to construct a fully distributed roadside communication infrastructure to facilitate the localized content dissemination to vehicles in the urban area. The proposed infrastructure is composed of distributed lightweight low-cost devices called roadside buffers (RSBs), where each RSB has the limited buffer storage and is able to transmit wirelessly the cached contents to fast-moving vehicles. To enable the distributed RSBs working toward the global optimal performance (e.g., minimal average file download delays), we propose a fully distributed algorithm to determine optimally the content replication strategy at RSBs. Specifically, we first develop a generic analytical model to evaluate the download delay of files, given the probability density of file distribution at RSBs. Then, we formulate the RSB content replication process as an optimization problem and devise a fully distributed content replication scheme accordingly to enable vehicles to recommend intelligently the desirable content files to RSBs. The proposed infrastructure is designed to optimize the global network utility, which accounts for the integrated download experience of users and the download demands of files. Using extensive simulations, we validate the effectiveness of the proposed infrastructure and show that the proposed distributed protocol can approach to the optimal performance and can significantly outperform the traditional heuristics.

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This study considers the impact of the university service and learning environments (which we define as non educational factors) on student satisfaction among international postgraduate students from Asia studying in Australian universities. It is based on the expectations/perceptions paradigm and analyses the relationship between key variables and overall satisfaction of student groups in respect of their service and learning environments. The aim of this paper is to consider the importance of non-educational factors in international postgraduate university students, in particular, with regard to information and communication, infrastructure, and university recognition. The data used in this study is derived from a mail survey conducted among international postgraduate students from China, India, Indonesia and Thailand studying in five universities in Victoria. Structural Equation Modelling was used to understand the relationship between the constructs in this study. The results indicate that noneducation related factors are very important to international postgraduate students and they are predictors of overall satisfaction.

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Australia is in the midst of a massive transformation of its communication infrastructure. The AUD43 billion Australian National Broadband Network (NBN) to be set up by the wholly Federal government-owned NBNCo Limited (NBNCo), is the largest infrastructure project ever proposed in Australia (NBN, 2010). It has the capacity to combine features and technologies that were once separate, but now have converged, including computing, telephony, free-to-air (FTA) television, direct-to-home satellite broadcasting, radio and the internet. This means that current thinking about these media technologies, developed through the process of convergence as well as regulation, requires review. Future services for digital television are going to be more akin to app-based functions currently available on mobiles and tablets but accessed via the television screen rather than the PC. Against such a background, this article examines the Australian ‘televisual’ space, arguing that faster broadband and internet-enabled televisions for movies, shows, communication and more, when it suits the audience, are the keys to television’s survival through visually networked possibilities.

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The purpose of grid computing is to produce a virtual supercomputer by using free resources available through widespread networks such as the Internet. This resource distribution, changes in resource availability, and an unreliable communication infrastructure pose a major challenge for efficient resource allocation. Because of the geographical spread of resources and their distributed management, grid scheduling is considered to be a NP-complete problem. It has been shown that evolutionary algorithms offer good performance for grid scheduling. This article uses a new evaluation (distributed) algorithm inspired by the effect of leaders in social groups, the group leaders' optimization algorithm (GLOA), to solve the problem of scheduling independent tasks in a grid computing system. Simulation results comparing GLOA with several other evaluation algorithms show that GLOA produces shorter makespans.

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The vision of a smart grid is to provide a modern, resilient, and secure electric power grid as it boasts up with a highly reliable and efficient environment through effective use of its information and communication technology (ICT). Generally, the control and operation of a smart grid which integrate the distributed energy resources (DERs) such as, wind power, solar power, energy storage, etc., largely depends on a complex network of computers, softwares, and communication infrastructure superimposed on its physical grid architecture facilitated with the deployment of intelligent decision support system applications. In recent years, multi-agent system (MAS) has been well investigated for wide area power system applications and specially gained a significant attention in smart grid protection and security due to its distributed characteristics. In this chapter, a MAS framework for smart grid protection relay coordination is proposed, which consists of a number of intelligent autonomous agents each of which are embedded with the protection relays. Each agent has its own thread of control that provides it with a capability to operate the circuit breakers (CBs) using the critical clearing time (CCT) information as well as communicate with each other through high speed communication network. Besides physical failure, since smart grid highly depends on communication infrastructure, it is vulnerable to several cyber threats on its information and communication channel. An attacker who has knowledge about a certain smart grid communication framework can easily compromise its appliances and components by corrupting the information which may destabilize a system results a widespread blackout. To mitigate such risk of cyber attacks, a few innovative counter measuring techniques are discussed in this chapter.

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Device-to-Device (D2D) communication is a recently emerged disruptive technology for enhancing the performance of current cellular systems. To successfully implement D2D communications underlaying cellular networks, resource allocation to D2D links is a critical issue, which is far from trivial due to the mutual interference between D2D users and cellular users. Most of the existing resource allocation research for D2D communications has primarily focused on the intracell scenario while leaving the intercell settings not considered. In this paper, we investigate the resource allocation issue for intercell scenarios where a D2D link is located in the overlapping area of two neighboring cells. Specifically, We present three intercell D2D scenarios regarding the resource allocation problem. To address the problem, we develop a repeated game model under these scenarios. Distinct from existing works, we characterize the communication infrastructure, namely Base Stations (BSs), as players competing resource allocation quota from D2D demand, and we define the utility of each player as the payoff from both cellular and D2D communications using radio resources. We also propose a resource allocation algorithm and protocol based on the Nash equilibrium derivations. Numerical results indicate that the developed model not only significantly enhances the system performance including sum rate and sum rate gain, but also sheds lights on resource configurations for intercell D2D scenarios.

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Numerous empirical studies on knowledge management have examined the relative effectiveness of various enablers, such as organizational structure, technology, culture, managerial system and strategy on knowledge sharing in organizations. These enablers are mostly related to organizational infrastructure that promotes knowledge sharing in organizations. This paper focuses on the critical role of information and communication technology (ICT) in facilitating the process of knowledge sharing in organizations. The results indicate that ICT support significantly impacted knowledge sharing, which in turn positively affected firm performance.

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The acceleration of technological change and trade liberalization in the 1990s have significantly intensified market competition and transformed the world economic infrastructure from a resource- and manufacturing-based economy to one in which knowledge and services are the key drivers of economic growth. In order for an organization to capitalize on its knowledge and truly become a learning organization, it must begin to systematically manage and leverage knowledge existing internally and externally to create and sustain its competitive advantage. Numerous empirical studies on knowledge management have examined the relative effectiveness of various enablers, such as organizational structure, technology, culture, managerial system and strategy on knowledge creation and sharing in organizations. The enablers examined earlier are mostly related to organizational infrastructure that promotes knowledge sharing in organizations. This paper examines specifically the critical role of information and communication technology (ICT) in facilitating and enhancing knowledge sharing and organizational performance. This study adopted a process oriented approach by using Nonaka’s (1994) knowledge sharing model. The results indicate that significant positive effects of ICT support on knowledge sharing and all dimensions of knowledge sharing are significant predictors of organizational performance.

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The increasing complexity and interconnectedness of critical infrastructure systems, including the information systems and communication networks that support their existence and functionality, poses questions and challenges. Particularly, in terms of modelling and analysis of the security, survivability and ultimately reliability and continued availability of critical infrastructure systems and the services they deliver to modern society. The focus of this research enquiry is with regard to critiquing and modelling critical infrastructure systems. There are numerous systems analyse and modelling approaches that outline any number of differing methodological approaches, each with their own characteristics, expertise, strengths and weaknesses. The intention of this research is to investigate the merit of applying a ‘softer’ approach to critical infrastructure system security analysis and modelling that broadly views the systems in holistic terms, including their relationships with other systems. The intention is not to discuss or criticise existing research applying quantitative approaches, but to discuss a ‘softer’ system analysis and modelling approach in a security context that is adaptable to analysis modelling of critical infrastructure systems.

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This research provides a deeper insight into the performance of Alliances for the construction of road, rail and water projects. The results review 18 public infrastructure projects across Australia that utilized the Alliance form of procurement. The results were based on interviews which addressed the most important management issues impacting on the performance of Alliances. The respondents were selected from a sample of members of the Alliance Leadership Teams (ALT) and the Alliance Management Teams (AMT) that had recently completed a range of infrastructure projects. Results revealed that communication and trust between the ALT and AMT teams was a major issue that impacted on the effectiveness of the Alliance. Further, the research identified several factors that are necessary preconditions for the Alliance to be successful. The study reported on the perceived performance of Alliances to deliver in the key areas that was identified by the client organizations prior to commencement of the project. There are an increasing number of international organizations contemplating construction projects using “Alliancing”. The results of this paper will assist clients in making more informed decisions about the possibility that this form of procurement will be effective in meeting the needs of the project and its stakeholders.

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The desire to reduce carbon emissions due to transportation sources has led over the past decade to the development of new propulsion technologies, focused on vehicle electrification (including hybrid, plug-in hybrid and battery electric vehicles). These propulsion technologies, along with advances in telecommunication and computing power, have the potential of making passenger and commercial vehicles more energy efficient and environment friendly. In particular, energy management algorithms are an integral part of plug-in vehicles and are very important for achieving the performance benefits. The optimal performance of energy management algorithms depends strongly on the ability to forecast energy demand from the vehicle. Information available about environment (temperature, humidity, wind, road grade, etc.) and traffic (traffic density, traffic lights, etc.), is very important in operating a vehicle at optimal efficiency. This article outlines some current technologies that can help achieving this optimum efficiency goal. In addition to information available from telematic and geographical information systems, knowledge of projected vehicle charging demand on the power grid is necessary to build an intelligent energy management controller for future plug-in hybrid and electric vehicles. The impact of charging millions of vehicles from the power grid could be significant, in the form of increased loading of power plants, transmission and distribution lines, emissions and economics (information are given and discussed for the US case). Therefore, this effect should be considered in an intelligent way by controlling/scheduling the charging through a communication based distributed control.

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This research provides a deeper insight into the performance of alliances for the construction of road, rail and water projects. The principle objective of alliances is to align team member expectations so that they work together for the benefit of the project. To date, this has been a challenge, and as such this makes alliances an innovative approach to procurement of infrastructure. The paper reports on a survey of 18 public infrastructure projects across Australia that utilized the alliance form of procurement. The results were based on alliance team interviews, which addressed the most critical management issues impacting on the performance of process. The research identified a sample of stakeholders form alliance leadership teams (ALT) and the alliance management teams (AMT) that had recently completed a major infrastructure projects. Results revealed that communication and trust between the ALT and AMT teams was a major issue that impacted on the effectiveness of the alliance. Furthermore, the research identifies several key factors that were necessary preconditions for successful alliances.