Ryerson University

Displaying 1-8 of 8 results

  • White Papers // Jul 2011

    Optimal Resource Allocation for Multimedia Cloud Based on Queuing Model

    Multimedia cloud, as a specific cloud paradigm, addresses how cloud can effectively process multimedia services and provide QoS provisioning for multimedia applications. There are two major challenges in multimedia cloud. The first challenge is the service response time in multimedia cloud, and the second challenge is the cost of cloud...

    Provided By Ryerson University

  • White Papers // Jul 2011

    Return On Investment: A Placebo For The Chief Financial Officer. And Other Paradoxes

    Return On Investment (ROI) is one of the most popular evaluation metrics. ROI analysis (when applied correctly) is a powerful tool of evaluating existing information systems and making informed decisions on the acquisitions. However, practical use of the ROI is complicated by a number of uncertainties and controversies. The paper...

    Provided By Ryerson University

  • White Papers // Mar 2011

    Foreign Direct Investment And The Choice Of Environmental Policy

    The authors use an oligopoly model of intra-industry trade to examine the implications of foreign direct investment for the pollution haven hypothesis and environmental policy. Countries which lower environmental standards to be more competitive in world markets generate pollution havens if environmental policy is fixed. However, if FDI is a...

    Provided By Ryerson University

  • White Papers // Mar 2011

    Arbitrage And Hedging In A Non Probabilistic Framework

    The paper studies the concepts of hedging and arbitrage in a non probabilistic framework. It provides conditions for non probabilistic arbitrage based on the topological structure of the trajectory space and makes connections with the usual notion of arbitrage. Several examples illustrate the non probabilistic arbitrage as well perfect replication...

    Provided By Ryerson University

  • White Papers // Feb 2011

    Compressed Sensing in Wireless Sensor Networks: Survey

    Wireless Sensor Networks (WSNs) are adopted in many applications such as, industrial automation, military, transportation, environmental monitoring, web controlling, biomedical and energy management. As WSNs continue to grow, so does the need for new mechanisms to reduce parameters such as power consumption, cost, delay and traffic. The Compressed Sensing (CS)...

    Provided By Ryerson University

  • White Papers // Aug 2010

    Energy Efficient Role-based Clustering Algorithm for Wireless Sensor Networks

    In this paper, the authors incorporate location awareness in the procedure of forming clusters in wireless sensor networks. A role-based clustering algorithm is proposed to combat the energy saving problem and is proved to perform better than the approaches used in HEED. The next step for this research is to...

    Provided By Ryerson University

  • White Papers // Aug 2009

    A Neural Network Approach for Wireless Sensor Network Power Management

    In this paper the authors introduce a new approach for wireless sensor network power management which is based on Neural Networks. In this new approach an intelligent analysis is used to process the structure of a Wireless Sensor Network (WSN) and produce some information which can be used to improve...

    Provided By Ryerson University

  • White Papers // Jun 2009

    Complex Energy Signal Model for Digital Human Fingerprint Matching

    This paper describes a complex energy signal model that is isomorphic with digital human fingerprint images. By using signal models, the problem of fingerprint matching is transformed into the signal processing problem of finding a correlation between two complex signals that differ by phase-rotation and time-scaling. A technique for minutiae...

    Provided By Ryerson University

  • White Papers // Aug 2009

    A Neural Network Approach for Wireless Sensor Network Power Management

    In this paper the authors introduce a new approach for wireless sensor network power management which is based on Neural Networks. In this new approach an intelligent analysis is used to process the structure of a Wireless Sensor Network (WSN) and produce some information which can be used to improve...

    Provided By Ryerson University

  • White Papers // Jun 2009

    Complex Energy Signal Model for Digital Human Fingerprint Matching

    This paper describes a complex energy signal model that is isomorphic with digital human fingerprint images. By using signal models, the problem of fingerprint matching is transformed into the signal processing problem of finding a correlation between two complex signals that differ by phase-rotation and time-scaling. A technique for minutiae...

    Provided By Ryerson University

  • White Papers // Mar 2011

    Arbitrage And Hedging In A Non Probabilistic Framework

    The paper studies the concepts of hedging and arbitrage in a non probabilistic framework. It provides conditions for non probabilistic arbitrage based on the topological structure of the trajectory space and makes connections with the usual notion of arbitrage. Several examples illustrate the non probabilistic arbitrage as well perfect replication...

    Provided By Ryerson University

  • White Papers // Mar 2011

    Foreign Direct Investment And The Choice Of Environmental Policy

    The authors use an oligopoly model of intra-industry trade to examine the implications of foreign direct investment for the pollution haven hypothesis and environmental policy. Countries which lower environmental standards to be more competitive in world markets generate pollution havens if environmental policy is fixed. However, if FDI is a...

    Provided By Ryerson University

  • White Papers // Jul 2011

    Return On Investment: A Placebo For The Chief Financial Officer. And Other Paradoxes

    Return On Investment (ROI) is one of the most popular evaluation metrics. ROI analysis (when applied correctly) is a powerful tool of evaluating existing information systems and making informed decisions on the acquisitions. However, practical use of the ROI is complicated by a number of uncertainties and controversies. The paper...

    Provided By Ryerson University

  • White Papers // Jul 2011

    Optimal Resource Allocation for Multimedia Cloud Based on Queuing Model

    Multimedia cloud, as a specific cloud paradigm, addresses how cloud can effectively process multimedia services and provide QoS provisioning for multimedia applications. There are two major challenges in multimedia cloud. The first challenge is the service response time in multimedia cloud, and the second challenge is the cost of cloud...

    Provided By Ryerson University

  • White Papers // Feb 2011

    Compressed Sensing in Wireless Sensor Networks: Survey

    Wireless Sensor Networks (WSNs) are adopted in many applications such as, industrial automation, military, transportation, environmental monitoring, web controlling, biomedical and energy management. As WSNs continue to grow, so does the need for new mechanisms to reduce parameters such as power consumption, cost, delay and traffic. The Compressed Sensing (CS)...

    Provided By Ryerson University

  • White Papers // Aug 2010

    Energy Efficient Role-based Clustering Algorithm for Wireless Sensor Networks

    In this paper, the authors incorporate location awareness in the procedure of forming clusters in wireless sensor networks. A role-based clustering algorithm is proposed to combat the energy saving problem and is proved to perform better than the approaches used in HEED. The next step for this research is to...

    Provided By Ryerson University