Universita della Svizzera italiana

Displaying 1-9 of 9 results

  • White Papers // May 2012

    On the Feasibility of Using Microfluidic Technologies for Communications in Labs-on-a-Chip

    Microfluidics refers to manipulation and control of little amount of fluids flowing into channels of micro-scale size and is the basic technology utilized by Labs-on-a-Chip (LoC) systems. In the recent past researchers have analyzed the possibility to support information exchange between different elements of a LoC. However, support of communication...

    Provided By Universita della Svizzera italiana

  • White Papers // Jan 2012

    Likelihood-Based Robust Classification With Bayesian Networks

    Bayesian networks are commonly used for classification: a structural learning algorithm determines the network graph, while standard approaches estimate the model parameters from data. Yet, with few data the corresponding assessments can be unreliable. To gain robustness in this phase, the authors consider a likelihood-based learning approach, which takes all...

    Provided By Universita della Svizzera italiana

  • White Papers // Aug 2010

    Alignment In Business Relationships

    There is presumption that alignment in business relationships is a condition for effective and satisfactory development of business relationships over time. However the issue of how alignment and misalignment between parties affect change in business relationships remains relatively unexplored because the attention in research has been more on the search...

    Provided By Universita della Svizzera italiana

  • White Papers // Apr 2010

    Parallel and Random Solving of a Network Design Problem

    Parallel and Random Solving of a Network Design Problem Applications for industrial optimization have to be "Robust". They must provide effective solutions to problems of varying sizes and numerical characteristics. These applications should continue to remain effective and work well even after the addition of side constraints. In practice, this...

    Provided By Universita della Svizzera italiana

  • White Papers // Apr 2010

    P-Store: Genuine Partial Replication in Wide Area Networks

    Partial replication mentioned and discussed in this paper is the way to increase scalability of replicated systems where updates are applied only to a divided part of the system's sites. The replicas are designed to handle independent parts of the workload in parallel. This paper talks about P-Store that is...

    Provided By Universita della Svizzera italiana

  • White Papers // Sep 2009

    Searching For Relationship Value In Business Markets: Are We Missing Something?

    There is considerable evidence that in business markets relationships matter. Firms tend to depend on a limited number of relationships to customers and suppliers. Coping in these involves costs but relationships can result in significant benefits. That has lead to the great effort recently put by scholars in conceptualizing and...

    Provided By Universita della Svizzera italiana

  • White Papers // Jul 2009

    Optimal Cluster Sizes for Wireless Sensor Networks: An Experimental Analysis

    Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering protocols. Unfortunately, for practitioners wishing to exploit clustering in deployments, there is little help when trying to identify a protocol that meets their needs....

    Provided By Universita della Svizzera italiana

  • White Papers // Jun 2009

    Genuine versus Non-Genuine Atomic Multicast Protocols for Wide Area Networks: An Empirical Study

    An atomic multicast is a fundamental abstraction for building fault-tolerant systems. This paper assumes a system that is composed of data centers or groups that host many processes connected through high-end local links. It also suggests that a few groups exist that are interconnected with the use of high-latency communication...

    Provided By Universita della Svizzera italiana

  • White Papers // Jun 2009

    CLIQUE: Role-Free Clustering With Q-Learning for Wireless Sensor Networks

    Clustering and aggregation inherently increase Wireless Sensor Network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data through computation, then forwarding it. Traditional approaches, however, both spend extensive communication energy to identify the cluster heads and are inflexible to network dynamics such...

    Provided By Universita della Svizzera italiana

  • White Papers // Apr 2010

    Parallel and Random Solving of a Network Design Problem

    Parallel and Random Solving of a Network Design Problem Applications for industrial optimization have to be "Robust". They must provide effective solutions to problems of varying sizes and numerical characteristics. These applications should continue to remain effective and work well even after the addition of side constraints. In practice, this...

    Provided By Universita della Svizzera italiana

  • White Papers // Jun 2009

    Genuine versus Non-Genuine Atomic Multicast Protocols for Wide Area Networks: An Empirical Study

    An atomic multicast is a fundamental abstraction for building fault-tolerant systems. This paper assumes a system that is composed of data centers or groups that host many processes connected through high-end local links. It also suggests that a few groups exist that are interconnected with the use of high-latency communication...

    Provided By Universita della Svizzera italiana

  • White Papers // Apr 2010

    P-Store: Genuine Partial Replication in Wide Area Networks

    Partial replication mentioned and discussed in this paper is the way to increase scalability of replicated systems where updates are applied only to a divided part of the system's sites. The replicas are designed to handle independent parts of the workload in parallel. This paper talks about P-Store that is...

    Provided By Universita della Svizzera italiana

  • White Papers // Aug 2010

    Alignment In Business Relationships

    There is presumption that alignment in business relationships is a condition for effective and satisfactory development of business relationships over time. However the issue of how alignment and misalignment between parties affect change in business relationships remains relatively unexplored because the attention in research has been more on the search...

    Provided By Universita della Svizzera italiana

  • White Papers // Sep 2009

    Searching For Relationship Value In Business Markets: Are We Missing Something?

    There is considerable evidence that in business markets relationships matter. Firms tend to depend on a limited number of relationships to customers and suppliers. Coping in these involves costs but relationships can result in significant benefits. That has lead to the great effort recently put by scholars in conceptualizing and...

    Provided By Universita della Svizzera italiana

  • White Papers // Jul 2009

    Optimal Cluster Sizes for Wireless Sensor Networks: An Experimental Analysis

    Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering protocols. Unfortunately, for practitioners wishing to exploit clustering in deployments, there is little help when trying to identify a protocol that meets their needs....

    Provided By Universita della Svizzera italiana

  • White Papers // Jun 2009

    CLIQUE: Role-Free Clustering With Q-Learning for Wireless Sensor Networks

    Clustering and aggregation inherently increase Wireless Sensor Network (WSN) lifetime by collecting information within a cluster at a cluster head, reducing the amount of data through computation, then forwarding it. Traditional approaches, however, both spend extensive communication energy to identify the cluster heads and are inflexible to network dynamics such...

    Provided By Universita della Svizzera italiana

  • White Papers // Jan 2012

    Likelihood-Based Robust Classification With Bayesian Networks

    Bayesian networks are commonly used for classification: a structural learning algorithm determines the network graph, while standard approaches estimate the model parameters from data. Yet, with few data the corresponding assessments can be unreliable. To gain robustness in this phase, the authors consider a likelihood-based learning approach, which takes all...

    Provided By Universita della Svizzera italiana

  • White Papers // May 2012

    On the Feasibility of Using Microfluidic Technologies for Communications in Labs-on-a-Chip

    Microfluidics refers to manipulation and control of little amount of fluids flowing into channels of micro-scale size and is the basic technology utilized by Labs-on-a-Chip (LoC) systems. In the recent past researchers have analyzed the possibility to support information exchange between different elements of a LoC. However, support of communication...

    Provided By Universita della Svizzera italiana