The Experts below are selected from a list of 197544 Experts worldwide ranked by ideXlab platform

A Flammini - One of the best experts on this subject based on the ideXlab platform.

  • on the mobile Communication Requirements for the demand side management of electric vehicles
    Energies, 2018
    Co-Authors: Stefano Rinaldi, Marco Pasetti, E Sisinni, Federico Bonafini, P Ferrari, Mattia Rizzi, A Flammini
    Abstract:

    The rising concerns about global warming and environmental pollution are increasingly pushing towards the replacement of road vehicles powered by Internal Combustion Engines (ICEs). Electric Vehicles (EVs) are generally considered the best candidates for this transition, however, existing power grids and EV management systems are not yet ready for a large penetration of EVs, and the current opinion of the scientific community is that further research must be done in this field. The so-called Vehicle-to-Grid (V2G) concept plays a relevant role in this scenario by providing the Communication capabilities required by advanced control and Demand-Side Management (DSM) strategies. Following this research trend, in this paper the Communication Requirements for the DSM of EVs in urban environments are discussed, by focusing on the mobile Communication among EVs and smart grids. A specific system architecture for the DSM of EVs moving inside urban areas is proposed and discussed in terms of the required data throughput. In addition, the use of a Low-Power Wide-Area Network (LPWAN) solution—the Long-Range Wide Area Network (LoRaWAN) technology—is proposed as a possible alternative to cellular-like solutions, by testing an experimental Communication infrastructure in a real environment. The results show that the proposed LPWAN technology is capable to handle an adequate amount of information for the considered application, and that one LoRa base station is able to serve up to 438 EVs per cell, and 1408 EV charging points.

  • on the mobile Communication Requirements for the demand side management of electric vehicles
    Energies, 2018
    Co-Authors: Stefano Rinaldi, Marco Pasetti, E Sisinni, Federico Bonafini, P Ferrari, Mattia Rizzi, A Flammini
    Abstract:

    The rising concerns about global warming and environmental pollution are increasingly pushing towards the replacement of road vehicles powered by Internal Combustion Engines (ICEs). Electric Vehicles (EVs) are generally considered the best candidates for this transition, however, existing power grids and EV management systems are not yet ready for a large penetration of EVs, and the current opinion of the scientific community is that further research must be done in this field. The so-called Vehicle-to-Grid (V2G) concept plays a relevant role in this scenario by providing the Communication capabilities required by advanced control and Demand-Side Management (DSM) strategies. Following this research trend, in this paper the Communication Requirements for the DSM of EVs in urban environments are discussed, by focusing on the mobile Communication among EVs and smart grids. A specific system architecture for the DSM of EVs moving inside urban areas is proposed and discussed in terms of the required data throughput. In addition, the use of a Low-Power Wide-Area Network (LPWAN) solution—the Long-Range Wide Area Network (LoRaWAN) technology—is proposed as a possible alternative to cellular-like solutions, by testing an experimental Communication infrastructure in a real environment. The results show that the proposed LPWAN technology is capable to handle an adequate amount of information for the considered application, and that one LoRa base station is able to serve up to 438 EVs per cell, and 1408 EV charging points.

Pascal Frossard - One of the best experts on this subject based on the ideXlab platform.

  • Distributed Signal Processing via Chebyshev Polynomial Approximation
    IEEE Transactions on Signal and Information Processing over Networks, 2018
    Co-Authors: David I Shuman, Daniel Kressner, Pierre Vandergheynst, Pascal Frossard
    Abstract:

    Unions of graph multiplier operators are an important class of linear operators for processing signals defined on graphs. We present a novel method to efficiently distribute the application of these operators. The proposed method features approximations of the graph multipliers by shifted Chebyshev polynomials, whose recurrence relations make them readily amenable to distributed computation. We demonstrate how the proposed method can be applied to distributed processing tasks such as smoothing, denoising, inverse filtering, and semi-supervised classification, and show that the Communication Requirements of the method scale gracefully with the size of the network.

  • Chebyshev polynomial approximation for distributed signal processing
    2011 International Conference on Distributed Computing in Sensor Systems and Workshops DCOSS'11, 2011
    Co-Authors: David I Shuman, Pierre Vandergheynst, Pascal Frossard
    Abstract:

    Unions of graph Fourier multipliers are an important class of linear operators for processing signals defined on graphs. We present a novel method to efficiently distribute the application of these operators to the high-dimensional signals collected by sensor networks. The proposed method features approximations of the graph Fourier multipliers by shifted Chebyshev polynomials, whose recurrence relations make them readily amenable to distributed computation. We demonstrate how the proposed method can be used in a distributed denoising task, and show that the Communication Requirements of the method scale gracefully with the size of the network.

Kuldeep Kumar - One of the best experts on this subject based on the ideXlab platform.

  • offshoring and the global distribution of work implications for task interdependence theory and practice
    Journal of International Business Studies, 2009
    Co-Authors: Kuldeep Kumar, Paul C Van Fenema, Mary Ann Von Glinow
    Abstract:

    A recent Offshoring Research Network (ORN) global survey of offshoring shows that since 2004 management concerns about operational issues on achieving the benefits of offshoring have increased significantly. In this paper we examine inter-task interdependence, a key operational determinant of inter-site interaction and Communications in offshoring. We analyze existing theories of interdependence to examine the extent to which they provide guidance for understanding the interaction and Communication Requirements between work segments that are offshored and distributed across the globe. Using a series of mini-cases on globally distributed work (GDW), we show how the traditional typology of interdependence developed in the 1960s and 1970s is no longer adequate for understanding and managing task interdependencies in GDW. We propose three concepts to address this problem: integration interdependence, “hand-offs”, and information “stickiness”. We then show how our revised typology of interdependence enables a better understanding of the interactions and Communication Requirements between sites. Using this revised theory we propose guidelines for work design, and examine their implications for practical offshoring and work-distribution decisions. Implications for theory and practice for MNEs engaged in offshore relationships are discussed.

  • Offshoring and the global distribution of work: Implications for task interdependence theory and practice
    Journal of International Business Studies, 2009
    Co-Authors: Kuldeep Kumar, Paul C Van Fenema, Mary Ann Von Glinow
    Abstract:

    A recent Offshoring Research Network (ORN) global survey of offshoring shows that since 2004 management concerns about operational issues on achieving the benefits of offshoring have increased significantly. In this paper we examine inter-task interdependence, a key operational determinant of inter-site interaction and Communications in offshoring. We analyze existing theories of interdependence to examine the extent to which they provide guidance for understanding the interaction and Communication Requirements between work segments that are offshored and distributed across the globe. Using a series of mini-cases on globally distributed work (GDW), we show how the traditional typology of interdependence developed in the 1960s and 1970s is no longer adequate for understanding and managing task interdependencies in GDW. We propose three concepts to address this problem: integration interdependence, “hand-offs”, and information “stickiness”. We then show how our revised typology of interdependence enables a better understanding of the interactions and Communication Requirements between sites. Using this revised theory we propose guidelines for work design, and examine their implications for practical offshoring and work-distribution decisions. Implications for theory and practice for MNEs engaged in offshore relationships are discussed.

Marcelo G S Bruno - One of the best experts on this subject based on the ideXlab platform.

  • distributed particle filtering for blind equalization in receiver networks using marginal non parametric approximations
    International Conference on Acoustics Speech and Signal Processing, 2014
    Co-Authors: Claudio J Bordin, Marcelo G S Bruno
    Abstract:

    This paper introduces a novel distributed particle filtering algorithms for the blind equalization of frequency-selective channels in a setup where a single transmitter broadcasts to multiple remote receivers. The algorithm computes particle-independent non-parametric approximations of some posterior probability functions, which are propagated between nodes via minimum-consensus iterations. We verify via numerical simulations that the proposed algorithms exhibit bit error rate (BER) performances markedly superior to that of particle-filtering-based isolated receivers with Communication Requirements far inferior to that of previous distributed algorithms.

  • a new minimum consensus distributed particle filter for blind equalization in receiver networks
    International Conference on Acoustics Speech and Signal Processing, 2013
    Co-Authors: Claudio J Bordin, Marcelo G S Bruno
    Abstract:

    We describe in this paper a novel distributed particle filtering algorithm that performs blind equalization of frequency-selective channels in a setup with a single transmitter and multiple receivers. The algorithm employs parallel minimum consensus iterations to determine some a posteriori probability functions, providing equal approximations on all network nodes in a finite, deterministic, network-dependent number of steps. We verify via computer simulations that the new algorithm exhibits a bit error rate (BER) performance similar to that of the centralized particle-filter estimator with Communication Requirements milder than that of previous approaches, as the new method drops the need to evaluate quantities via average consensus.

Stefano Rinaldi - One of the best experts on this subject based on the ideXlab platform.

  • on the mobile Communication Requirements for the demand side management of electric vehicles
    Energies, 2018
    Co-Authors: Stefano Rinaldi, Marco Pasetti, E Sisinni, Federico Bonafini, P Ferrari, Mattia Rizzi, A Flammini
    Abstract:

    The rising concerns about global warming and environmental pollution are increasingly pushing towards the replacement of road vehicles powered by Internal Combustion Engines (ICEs). Electric Vehicles (EVs) are generally considered the best candidates for this transition, however, existing power grids and EV management systems are not yet ready for a large penetration of EVs, and the current opinion of the scientific community is that further research must be done in this field. The so-called Vehicle-to-Grid (V2G) concept plays a relevant role in this scenario by providing the Communication capabilities required by advanced control and Demand-Side Management (DSM) strategies. Following this research trend, in this paper the Communication Requirements for the DSM of EVs in urban environments are discussed, by focusing on the mobile Communication among EVs and smart grids. A specific system architecture for the DSM of EVs moving inside urban areas is proposed and discussed in terms of the required data throughput. In addition, the use of a Low-Power Wide-Area Network (LPWAN) solution—the Long-Range Wide Area Network (LoRaWAN) technology—is proposed as a possible alternative to cellular-like solutions, by testing an experimental Communication infrastructure in a real environment. The results show that the proposed LPWAN technology is capable to handle an adequate amount of information for the considered application, and that one LoRa base station is able to serve up to 438 EVs per cell, and 1408 EV charging points.

  • on the mobile Communication Requirements for the demand side management of electric vehicles
    Energies, 2018
    Co-Authors: Stefano Rinaldi, Marco Pasetti, E Sisinni, Federico Bonafini, P Ferrari, Mattia Rizzi, A Flammini
    Abstract:

    The rising concerns about global warming and environmental pollution are increasingly pushing towards the replacement of road vehicles powered by Internal Combustion Engines (ICEs). Electric Vehicles (EVs) are generally considered the best candidates for this transition, however, existing power grids and EV management systems are not yet ready for a large penetration of EVs, and the current opinion of the scientific community is that further research must be done in this field. The so-called Vehicle-to-Grid (V2G) concept plays a relevant role in this scenario by providing the Communication capabilities required by advanced control and Demand-Side Management (DSM) strategies. Following this research trend, in this paper the Communication Requirements for the DSM of EVs in urban environments are discussed, by focusing on the mobile Communication among EVs and smart grids. A specific system architecture for the DSM of EVs moving inside urban areas is proposed and discussed in terms of the required data throughput. In addition, the use of a Low-Power Wide-Area Network (LPWAN) solution—the Long-Range Wide Area Network (LoRaWAN) technology—is proposed as a possible alternative to cellular-like solutions, by testing an experimental Communication infrastructure in a real environment. The results show that the proposed LPWAN technology is capable to handle an adequate amount of information for the considered application, and that one LoRa base station is able to serve up to 438 EVs per cell, and 1408 EV charging points.