The Experts below are selected from a list of 1910712 Experts worldwide ranked by ideXlab platform

Barbara Koch - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for renewable Energy Model: Remote sensing-based renewable Energy Model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the renewable Energy potential and integration of the renewable Energy Model. Three methods for assessing the renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of renewable Energy potential, which is the first vital step to develop renewable Energy Model. The paper then first presents three integrations of the renewable Energy Model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for renewable Energy Model: Remote sensing‐based renewable Energy Model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the renewable Energy potential and integration of the renewable Energy Model. Three methods for assessing the renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of renewable Energy potential, which is the first vital step to develop renewable Energy Model. The paper then first presents three integrations of the renewable Energy Model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Andreas Noack - One of the best experts on this subject based on the ideXlab platform.

  • Graph Drawing - An Energy Model for Visual Graph Clustering
    Graph Drawing, 2004
    Co-Authors: Andreas Noack
    Abstract:

    We introduce an Energy Model whose minimum Energy drawings reveal the clusters of the drawn graph. Here a cluster is a set of nodes with many internal edges and few edges to nodes outside the set. The drawings of the best-known force and Energy Models do not clearly show clusters for graphs whose diameter is small relative to the number of nodes. We formally characterize the minimum Energy drawings of our Energy Model. This characterization shows in what sense the drawings separate clusters, and how the distance of separated clusters to the other nodes can be interpreted.

  • an Energy Model for visual graph clustering
    Lecture Notes in Computer Science, 2003
    Co-Authors: Andreas Noack
    Abstract:

    We introduce an Energy Model whose minimum Energy drawings reveal the clusters of the drawn graph. Here a cluster is a set of nodes with many internal edges and few edges to nodes outside the set. The drawings of the best-known force and Energy Models do not clearly show clusters for graphs whose diameter is small relative to the number of nodes. We formally characterize the minimum Energy drawings of our Energy Model. This characterization shows in what sense the drawings separate clusters, and how the distance of separated clusters to the other nodes can be interpreted.

David Brooks - One of the best experts on this subject based on the ideXlab platform.

  • Energy characterization and instruction level Energy Model of intel s xeon phi processor
    International Symposium on Low Power Electronics and Design, 2013
    Co-Authors: Yakun Sophia Shao, David Brooks
    Abstract:

    Intel's Xeon Phi is the first commercial many-core/multi-thread x86--based processor. Xeon Phi belongs to a new breed of high performance computing processors that seek high compute density as well as Energy efficiency. However, no high-level Energy Model is available for Xeon Phi software developers to quickly evaluate and optimize Energy efficiency. This work demonstrates an instruction-level Energy Model for the Xeon Phi processor to facilitate the development of Energy-efficient software. In order to construct this Model, we first characterize the Energy consumption of the processor, identifying how Energy per instruction scales with the number of cores, the number of active threads per core, and instruction types. Based on the Energy characterization, we construct an instruction-level Energy Model and validate the accuracy of the Model between 1% and 5% for real world benchmarks. We show that the Energy Model can be used to identify software inefficiencies for these benchmarks and find that Linpack code can be optimized to increase Energy efficiency by as much as 10%.

  • ISLPED - Energy characterization and instruction-level Energy Model of Intel's Xeon Phi processor
    International Symposium on Low Power Electronics and Design (ISLPED), 2013
    Co-Authors: Yakun Sophia Shao, David Brooks
    Abstract:

    Intel's Xeon Phi is the first commercial many-core/multi-thread x86--based processor. Xeon Phi belongs to a new breed of high performance computing processors that seek high compute density as well as Energy efficiency. However, no high-level Energy Model is available for Xeon Phi software developers to quickly evaluate and optimize Energy efficiency. This work demonstrates an instruction-level Energy Model for the Xeon Phi processor to facilitate the development of Energy-efficient software. In order to construct this Model, we first characterize the Energy consumption of the processor, identifying how Energy per instruction scales with the number of cores, the number of active threads per core, and instruction types. Based on the Energy characterization, we construct an instruction-level Energy Model and validate the accuracy of the Model between 1% and 5% for real world benchmarks. We show that the Energy Model can be used to identify software inefficiencies for these benchmarks and find that Linpack code can be optimized to increase Energy efficiency by as much as 10%.

Shifeng Wang - One of the best experts on this subject based on the ideXlab platform.

  • A new thinking for renewable Energy Model: Remote sensing-based renewable Energy Model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the renewable Energy potential and integration of the renewable Energy Model. Three methods for assessing the renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of renewable Energy potential, which is the first vital step to develop renewable Energy Model. The paper then first presents three integrations of the renewable Energy Model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

  • A new thinking for renewable Energy Model: Remote sensing‐based renewable Energy Model
    International Journal of Energy Research, 2009
    Co-Authors: Shifeng Wang, Christian Schill, Sylvain Leduc, Sicong Wang, Michael Obersteiner, Barbara Koch
    Abstract:

    This paper mainly focuses on the two issues through remote sensing: assessment of the renewable Energy potential and integration of the renewable Energy Model. Three methods for assessing the renewable Energy potential with remote sensing (RS) are proposed. The methods can provide more precise evaluation of renewable Energy potential, which is the first vital step to develop renewable Energy Model. The paper then first presents three integrations of the renewable Energy Model with RS and points out that with respect to the problems one of them is employed. The assessment methods based on RS and the integrations with RS are illustrated by a simple example with Europe solar Energy data set. The results show that Germany is the optimal country to install photovoltaic with a capacity of 137 125GW.

Xin Zhang - One of the best experts on this subject based on the ideXlab platform.

  • probing interaction and spatial curvature in the holographic dark Energy Model
    Journal of Cosmology and Astroparticle Physics, 2009
    Co-Authors: Xin Zhang, Shuang Wang, Yi Wang
    Abstract:

    In this paper we place observational constraints on the interaction and spatial curvature in the holographic dark Energy Model. We consider three kinds of phenomenological interactions between holographic dark Energy and matter, i.e., the interaction term Q is proportional to the Energy densities of dark Energy (rho(A)), matter (p(m)), and matter plus dark Energy (p(m) + p(A)). For probing the interaction and spatial curvature in the holographic dark Energy Model, we use the latest observational data including the type la supernovae (SNIa) Constitution data, the shift parameter of the cosmic microwave background (CMB) given by the five-year Wilkinson Microwave Anisotropy Probe (WMAP5) observations, and the baryon acoustic oscillation (BAO) measurement, from the Sloan Digital Sky Survey (SDSS). Our results show that, the interaction and spatial curvature in the holographic dark Energy Model are both rather small. Besides, it is interesting to find that there exists significant degeneracy between the phenomenological interaction and the spatial curvature in the holographic dark Energy Model.

  • Statefinder diagnostic for holographic dark Energy Model
    International Journal of Modern Physics D, 2005
    Co-Authors: Xin Zhang
    Abstract:

    In this paper, we study the holographic dark Energy Model proposed by Li from the statefinder viewpoint. We plot the evolutionary trajectories of the Model with c = 1 in the statefinder parameter-planes. The statefinder diagrams characterize the properties of the holographic dark Energy and show the discrimination between this scenario and other dark Energy Models. We also perform a statefinder diagnostic to the holographic dark Energy Model in cases of different c which given by three fits to observational data. The result indicates that from the statefinder viewpoint c plays a significant role in this Model and should thus be determined seriously by future high precision experiments.