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Mostrando recursos 1 - 20 de 65

  1. Elisa Segnini speaks to Frederika Randall: tilting at the leaning tower, or translating irony in two writers from Northeast Italy

    Segnini, Elisa
    In this conversation, we address the effect of the internationalization of the book market on the world-wide circulation of Italian fiction; the ethics and responsibility of the translator of Italian classics into American English, and the challenges entailed in translating irony.

  2. Smart Design of Hull Forms Through Hybrid Evolutionary Algorithm and Morphing Approach

    Ang, J.H.; Jirafe, V.P.; Goh, C.; Li, Y.
    Digitalisation of ship design, construction and operation are gaining increasing attention in the marine industry as ships become eco-friendlier and smarter. ‘Smart designs’ can be applied under this digital revolution as an intelligent design process that is highly automated and collaborative with ‘smart manufactur-ing’ and ‘smart ships’ through-life. Focusing on smart design, we introduce a hybrid evolutionary algorithm and morphing (HEAM) approach which combines an evolutionary algorithm with an efficient morphing-based shape variation approach to optimise and automate the hull form design process. By combining the process of design exploration, geometry modification and performance evaluation, it enables highly automated design...

  3. A Tractable Approach to Base Station Sleep Mode Power Consumption and Deactivation Latency

    Onireti, Oluwakayode; Mohamed, Abdelrahim; Pervaiz, Haris; Imran, Muhammad
    No abstract available.

  4. Spatio-Temporal Clustering of Traffic Networks

    Venkatasubramaniam, Ashwini; Evers, Ludger; Ampountolas, Konstantinos
    We present a novel Bayesian clustering method for spatio-temporal data observed on a network and apply this model to cluster an urban traffic network. This method employs a distance dependent Chinese restaurant process (DDCRP) to provide a cluster structure, by incorporating the observed data and geographic constraints of the network. However, in order to fully capture the dependency structure of the data, a conditional auto-regressive model (CAR) is used to model the spatial dependency within each cluster.

  5. Spatio-Temporal Clustering of Urban Traffic Networks

    Venkatasubramaniam, Ashwini; Evers, Ludger; Ampountolas, Konstantinos
    Heterogeneous urban traffic networks with regions of varying congestion levels have unique fundamental properties that require tailor-made clustering algorithms. We propose a novel Bayesian clustering technique for spatio-temporal network data which is based on an amalgamation of a distance-dependent Chinese restaurant process (DDCRP) and a spatio-temporal conditional auto-regressive model (CAR). Our method employs a modified version of the DDCRP to incorporate the geographic constraints of the network and determine the shape and number of clusters. We do not expect the DDCRP to fully capture the dependency structure of the data and thus a CAR model is used to account for...

  6. Real-time Estimation of Critical Values of the Macroscopic Fundamental Diagram for Maximum Network Throughput

    Ampountolas, Konstantinos; Kouvelas, Anastasios
    Perimeter flow control or gating has recently been found to be a practical and efficient control scheme in mitigating traffic congestion in urban road networks. This control scheme aims at stabilising the accumulation of vehicles (or a proxy of accumulation, e.g. average occupancy or density) of the macroscopic or network fundamental diagram near critical accumulation to achieve maximum network throughput. Nevertheless, the maximum throughput (capacity flow) in urban road networks may be observed over a range of accumulation-values. In this work, an extension of a previously proposed real-time feedback perimeter flow control strategy is proposed that allows the automatic monitoring...

  7. Avoiding Bunching with Bus-Following Models and Bus-to-Bus Cooperation

    Ampountolas, Konstantinos; Kring, Malcolm
    This paper concerns the modelling and control of the bus bunching problem. Bunching is an in- stability problem where buses operating on high frequency public transport lines arrive at stops in bunches. Bunching reduces the reliability of bus services and forces passengers face increased waiting times at bus stops. In this work, we unveil that bus-following models can be used to de- sign bus-to-bus collaborative control strategies and mitigate bunching. The use of bus-following models avoids the explicit modelling of bus-stops which would render the resulting problem dis- crete, with events occurring at arbitrary time intervals. In a “follow-the-leader" two-bus...

  8. Perimeter Flow Control for Bi-modal Urban Road Networks

    Ampountolas, Konstantinos; Zheng, Nan; Geroliminis, Nikolas
    This paper presents a three-dimensional Macroscopic Fundamental Diagram (3D-MFD) for mixed bi-modal urban traffic that is proposed by the authors in a previous work. The 3D-MFD relates the accumulation of cars and buses and the outflow (or circulating flow) in a bi-modal traffic network. The composition of traffic in the network as a parameter that affects the shape of the 3D-MFD is introduced. Then, two different functions (quadratic and exponential) are proposed to capture the shape of the 3D-MFD and derive analytical formulas for the critical accumulation that is dependent upon the composition of traffic in the network. A Linear...

  9. A City-Scale Macroscopic Fundamental Diagram for Mixed Bi-modal Urban Traffic

    Geroliminis, Nikolas; Zheng, Nan; Ampountolas, Konstantinos
    Recent research has studied the existence and the properties of macroscopic fundamental diagrams (MFDs) for urban areas. These MFDs should not be universally expected as high scatter or hysteresis might appear for some type of networks, like heterogeneous networks or freeways. In this paper, we investigate if aggregated relationships can describe the performance of urban bi-modal networks with buses and cars shared the same road infrastructure. Based on simulated data, we develop a three-dimensional MFD (3D-MFD) relating the accumulation of cars and buses, and the total circulating flow in the network. This relation experiences low scatter and can be approximated...

  10. The impact of participatory budgeting on health and wellbeing: a scoping review of evaluations

    Campbell, Mhairi

  11. Distributed Perimeter Flow Control of Transport Networks

    Mat Jusoh, Ruzanna; Ampountolas, Konstantinos
    In this paper, we develop a distributed control scheme for the perimeter traffic flow control problem in urban road networks. The proposed scheme determines optimally distributed input flows for a number of gates located at the periphery of a protected network area. A parsimo- nious model is employed to describe the traffic dynamics of the protected network. To describe traffic dynamics outside of the protected area, we augment the basic state-space model with additional state variables for the queues at store-and-forward origin links at the periphery. We aim to equalise the relative queues at origin links and maintain the vehicle...

  12. Distance Dependent Chinese restaurant process for Spatio-Temporal Clustering of Urban Traffic Networks

    Venkatasubramaniam, Ashwini; Evers, Ludger; Ampountolas, Konstantinos
    A novel Bayesian clustering method is presented for spatio-temporal data observed on a network. This method employs a Distance Dependent Chinese Restaurant Process (DDCRP) to incorporate the geographic constraints of the network. DDCRPs typically accommodate non-exchangeable distributions as a prior over partitions unlike the traditional Chinese restaurant Process. In addition, it does not exhibit the marginal invariance property and so one can capture the extent of the influence transferred from one node in the network to the next. We do not expect the DDCRP to fully capture the dependency structure of the data and thus a conditional auto-regressive model (CAR)...

  13. Interpolating Constrained Control of Interconnected Systems

    Scialanga, Sheila; Ampountolas, Konstantinos
    This paper presents a decentralised interpolating control scheme for the control of linear discrete-time interconnected systems with local state and control constraints. The control law of each distinct subsystem relies on the gentle interpolation between a local high- gain controller, which satisfies some user-desired performance specifications, with a global low-gain controller. For each subsystem both low- and high-gain controllers can be efficiently determined off-line, while the inexpensive interpolation between them is performed on-line. For the interpolation, a new low-dimensional linear programming formulation is developed, which is computationally less expensive compared to previous works. Therefore, it is appropriate for real- time...

  14. Motorway Tidal Flow Lane Control

    Ampountolas, Konstantinos; Salvaro Furtado, Henrique; Castelan Carlson, Rodrigo
    A traffic control case of particular importance occurs when inbound and outbound traffic on a motorway stretch is unbalanced throughout the day. This scenario may benefit of a lane management strategy called tidal flow (or reversible) lane control, in which case the direction of a contraflow buffer lane is reversed according to the needs of each direction. This paper proposes a simple and practical real-time strategy for efficient motorway tidal flow lane control. A switching policy based on the fundamental diagram, that requires only aggregated measurements of density (or occupancy), is adopted. A kinematic wave theory-based traffic flow analysis shows...

  15. Simulating Service Operations, Towards the Borders of Intangibility

    Shafti, F.
    The aim of this paper is to expand the application of simulation in service operations. Four influential factors in services are chosen for simulating. These factors include 'customer's expectation versus perception', 'customer as co-producer', 'customer groups' and 'high versus low customer contact operations'. A number of generic models are designed (using Simul8, a popular simulation software) in attempt to provide tools to illustrate and study the effects of these factors in service operations and to make managerial decisions with these factors into the account. Challenges faced when making the models are described. The main outcome is recognition of technical features...

  16. Service Classification Research: Welcome Back!

    Shafti, F.; Van Der Meer, R.B.; Williams, T.M.; Bedford, T.J.
    The evolution and theories behind three popular service classification models (Customer Contact Model, Service Process Matrix, and Volume-Variety Model) are explored. In phase one of this research, a critical literature review reveals that the latter two models have ended up being quite similar to the well-known Product-Process Matrix in manufacturing. This first phase has also resulted in the formulation of six research inquiries related to these three models. In phase two, these research inquiries are addressed by analysing a set of empirically derived data. As a result, the Customer Contact Model is further developed. A number of questions are raised...

  17. Seeking Productivity, Improving Quality, Challenges Across Service Sectors

    Shafti, Farhad
    This paper examines seeking productivity, improving quality, and challenges across service sectors. It was presented at the first international egyptian conference on total quality management in service industries in 2007.

  18. An Empirical Study into the Modeling of Key Organizing Processes

    Van Der Meer, Robert; Bititci, Umit; Maguire, Catherine; Ackermann, Fran; Ates, Aylin; Bourne, M.; Davies, John; Gibb, Stephen; MacBryde, Jillian; MacKay, David; Shafti, Farhad
    This paper provides an empirical study into the modeling of key organizing processes.

  19. Towards a mixed method approach for the multidisciplinary investigation of management processes

    Mackay, D.; Maguire, C.; Bititci, U.; Ates, A.; Shafti, Farhad; Van der Meer, R.
    This paper presents the development of a mixed methods approach by a multidisciplinary group of academics to understand and so model management processes with a view to enabling informed management decision making. Considering management processes as one of three categories of business processes (CIMOSA Standards Committee, 1989), the literature in this area is reviewed to identify current management modelling techniques. The researchers conclude that these do not adequately address both the 'hard' and 'soft' characteristics of management processes as well as the methodological viewpoints of the group. The development of a mixed method approach designed to address these issues is...

  20. A Systematic Review of Barriers and Facilitators to Patient Uptake and Utilisation of Digital Interventions for the Self-Management of Low Back Pain

    Kyle, John

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