947 resultados para Electric networks - Planning


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Protection of a distribution network in the presence of distributed generators (DGs) using overcurrent relays is a challenging task due to the changes in fault current levels and reverse power flow. Specifically, in the presence of current limited converter interfaced DGs, overcurrent relays may fail to isolate the faulted section either in grid connected or islanded mode of operation. In this paper, a new inverse type relay is presented to protect a distribution network, which may have several DG connections. The new relay characteristic is designed based on the measured admittance of the protected line. The relay is capable of detecting faults under changing fault current levels. The relay performance is evaluated using PSCAD simulation and laboratory experiments.

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This work examines the effect of landmark placement on the efficiency and accuracy of risk-bounded searches over probabilistic costmaps for mobile robot path planning. In previous work, risk-bounded searches were shown to offer in excess of 70% efficiency increases over normal heuristic search methods. The technique relies on precomputing distance estimates to landmarks which are then used to produce probability distributions over exact heuristics for use in heuristic searches such as A* and D*. The location and number of these landmarks therefore influence greatly the efficiency of the search and the quality of the risk bounds. Here four new methods of selecting landmarks for risk based search are evaluated. Results are shown which demonstrate that landmark selection needs to take into account the centrality of the landmark, and that diminishing rewards are obtained from using large numbers of landmarks.

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This paper presents a path planning technique for ground vehicles that accounts for the dynamics of the vehicle, the topography of the terrain and the wheel/ground interaction properties such as friction. The first two properties can be estimated using well known sensors and techniques, but the third is not often estimated even though it has a significant effect on the motion of a high-speed vehicle. We introduce a technique which allows the estimation of wheel slip from which frictional parameters can be inferred. We present simulation results which show the importance of modelling topography and ground properties and experimental results which show how ground properties can be estimated along a 350m outdoor traverse.

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An introduction to thinking about and understanding probability that highlights the main pits and trapfalls that befall logical reasoning

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An introduction to elicitation of experts' probabilities, which illustrates common problems with reasoning and how to circumvent them during elicitation.

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An introduction to design of eliciting knowledge from experts.

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An introduction to eliciting a conditional probability table in a Bayesian Network model, highlighting three efficient methods for populating a CPT.

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In recent times considerable research attention has been directed to understanding dark networks, especially criminal and terrorist networks. Dark networks are those in which member motivations are self rather than public interested, achievements come at the cost of other individuals, groups or societies and, in addition, their activities are both ‘covert and illegal’ (Raab & Milward, 2003: 415). This ‘darkness’ has implications for the way in which these networks are structured, the strategies adopted and their recruitment methods. Such entities exhibit distinctive operating characteristics including most notably the tension between creating an efficient network structure while retaining the ability to hide from public view while avoiding catastrophic collapse should one member cooperate with authorities (Bouchard 2007). While theoretical emphasis has been on criminal and terrorist networks, recent work has demonstrated that corrupt police networks exhibit some distinctive characteristics. In particular, these entities operate within the shadows of a host organisation - the Police Force and distort the functioning of the ‘Thin Blue Line’ as the interface between the law abiding citizenry and the criminal society. Drawing on data derived from the Queensland Fitzgerald Commission of Enquiry into Police Misconduct and related documents, this paper examines the motivations, structural properties and operational practices of corrupt police networks and compares and contrasts these with other dark networks with ‘bright’ public service networks. The paper confirms the structural differences between dark corrupt police networks and bright networks and suggests. However, structural embeddedness alone is found to be an insufficient theoretical explanation for member involvement in networks and that a set of elements combine to impact decision-making. Although offering important insights into network participation, the paper’s findings are especially pertinent in identifying additional points of intervention for police corruption networks.

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This paper examines approaches to the visualisation of ‘invisible’ communications networks. It situates network visualisation as a critical design exercise, and explores how community artists might use such a practice to develop telematic art projects – works that use communications networks as their medium. The paper’s hypotheses are grounded in the Australian community media arts field, but could be applied to other collaborative contexts.

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This key planning textbook on designing healthy and sustainable communities informs planners about community life and the processes of planning and equips them with the essential knowledge and skills they need to organise change and improve the quality of urban living. The author examines the impacts of social and economic change on community life and organization and explores ways in which these changes can be planned and managed. Community planning is presented as a means to balance and integrate beneficial change with the maintenance of valued cultural traditions and life styles. This involves bringing together fields of study and practice including urban and regional planning, design, communication, housing, community organization, employment, transport, and governance. Links drawn between personal values, human activities, physical spaces and societal governance assist this process of synthesis. Establishing a common vocabulary to discuss planning - for urban and regional planners, including health planners; and open space planners - enables both students and practitioners to work with each other and with those for whom they provide services to create stronger, healthier and more sustainable communities. The aims and roles of community planning are explored and the key planning operations are explained, including the phases and applications of community planning method; the planning and location of community facilities; the roles of design in shaping responsive community spaces; and the capacity of different types of community governance to improve the relations between citizens and societies. The book is organized into two main parts: after the first three chapters have established the interests and scope of community planning, the next six each moves from an account of issues and theoretical concerns, through a review of case studies, to summaries of leading practice. This positive approach is intended to encourage readers to develop their own capacities for effective participation and action. The concluding chapter draws together the contributions of preceding ones to demonstrate the integrity of the community planning process

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- identify the importance of planning and evaluation in public health practice - recognise the links between planning and evaluation through the presentation of relevant models - identify the core concepts of needs assessment in public health - describe the evaluation cycle and the importance of an evaluation plan - understand evaluation designs and their application in practice.

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Food is a vital foundation of all human life. It is essential to a myriad of political, socio-cultural, economic and environmental practices throughout history. However, those practices of food production, consumption, and distribution have the potential to now go through immensely transformative shifts as network technologies become increasingly embedded in every domain of contemporary life. Information and communication technologies (ICTs) are one of the key foundations of global functionality and sustenance today and undoubtedly will continue to present new challenges and opportunities for the future. As such, this Symposium will bring together leading scholars across disciplines to address challenges and opportunities at the intersection of food and ICTs in everyday urban environment. In particular, the discussion will revolve around the question: What are the key roles that network technologies play in re-shaping the food systems at micro- to macroscopic level? The symposium will contribute a unique perspective on urban food futures through the lens of network society paradigm where ICTs enable innovations in production, organisation, and communication within society. Some of the topics addressed will include encouraging transparency in food commodity chains; value of cultural understanding and communication in global food sustainability; and technologies to social inclusion; all of which evoke and examine the question surrounding networked individuals as changes catalysts for urban food futures. The event will provide an avenue for new discussions and speculations on key issues surrounding urban food futures in the network era, with a particular focus on bottom-up micro actions that challenge the existing food systems towards a broader sociocultural, political, technological, and environmental transformations. One central area of concern is that current systems of food production, distribution, and consumption do not ensure food security for the future, but rather seriously threaten it. With the recent unprecedented scale of urban growth and rise of middle-class, the problem continues to intensify. This situation requires extensive distribution networks to feed urban residents, and therefore poses significant infrastructural challenges to both the public and private sectors. The symposium will also address the transferability of citizen empowerment that network technologies enable as demonstrated in various significant global political transformations from the bottom-up, such as the recent Egyptian Youth Revolution. Another key theme of the discussion will be the role of ICTs (and the practices that they mediate) in fostering transparency in commodity chains. The symposium will ask what differences these technologies can make on the practices of food consumption and production. After discussions, we will initiate an international network of food-thinkers and actors that will function as a platform for knowledge sharing and collaborations. The participants will be invited to engage in planning for the on-going future development of the network.

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Twitter is now well established as the world’s second most important social media platform, after Facebook. Its 140-character updates are designed for brief messaging, and its network structures are kept relatively flat and simple: messages from users are either public and visible to all (even to unregistered visitors using the Twitter website), or private and visible only to approved ‘followers’ of the sender; there are no more complex definitions of degrees of connection (family, friends, friends of friends) as they are available in other social networks. Over time, Twitter users have developed simple, but effective mechanisms for working around these limitations: ‘#hashtags’, which enable the manual or automatic collation of all tweets containing the same #hashtag, as well allowing users to subscribe to content feeds that contain only those tweets which feature specific #hashtags; and ‘@replies’, which allow senders to direct public messages even to users whom they do not already follow. This paper documents a methodology for extracting public Twitter activity data around specific #hashtags, and for processing these data in order to analyse and visualize the @reply networks existing between participating users – both overall, as a static network, and over time, to highlight the dynamic structure of @reply conversations. Such visualizations enable us to highlight the shifting roles played by individual participants, as well as the response of the overall #hashtag community to new stimuli – such as the entry of new participants or the availability of new information. Over longer timeframes, it is also possible to identify different phases in the overall discussion, or the formation of distinct clusters of preferentially interacting participants.

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Diversity techniques have long been used to combat the channel fading in wireless communications systems. Recently cooperative communications has attracted lot of attention due to many benefits it offers. Thus cooperative routing protocols with diversity transmission can be developed to exploit the random nature of the wireless channels to improve the network efficiency by selecting multiple cooperative nodes to forward data. In this paper we analyze and evaluate the performance of a novel routing protocol with multiple cooperative nodes which share multiple channels. Multiple shared channels cooperative (MSCC) routing protocol achieves diversity advantage by using cooperative transmission. It unites clustering hierarchy with a bandwidth reuse scheme to mitigate the co-channel interference. Theoretical analysis of average packet reception rate and network throughput of the MSCC protocol are presented and compared with simulated results.

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A new relationship type of social networks - online dating - are gaining popularity. With a large member base, users of a dating network are overloaded with choices about their ideal partners. Recommendation methods can be utilized to overcome this problem. However, traditional recommendation methods do not work effectively for online dating networks where the dataset is sparse and large, and a two-way matching is required. This paper applies social networking concepts to solve the problem of developing a recommendation method for online dating networks. We propose a method by using clustering, SimRank and adapted SimRank algorithms to recommend matching candidates. Empirical results show that the proposed method can achieve nearly double the performance of the traditional collaborative filtering and common neighbor methods of recommendation.