Simulation-Aided Performance Evaluation of Server-Side Input/Output Optimizations

2012 ◽  
Author(s):  
Michael Kuhn ◽  
Julian M. Kunkel ◽  
Thomas Ludwig
Keyword(s):  
Performance Evaluation ◽  
Input Output ◽  
Server Side

scholarly journals Server-side performance evaluation of NDN

2016 ◽  
Author(s):  
Xavier Marchal ◽  
Thibault Cholez ◽  
Olivier Festor
Keyword(s):  
Performance Evaluation ◽  
Server Side

scholarly journals Dynamic Optimization for Fast Image Transfer and Visualization for Mobile and Stationary Devices: A Performance Evaluation Using Animati Viewer

2015 ◽  
Author(s):  
José Eduardo Venson ◽  
Fernando Bevilacqua ◽  
Carlos Edmilson Maia ◽  
Marcos D'Ornellas
Keyword(s):  
Performance Evaluation ◽  
User Experience ◽  
Dynamic Optimization ◽  
Data Flow ◽  
Medical Application ◽  
Use Case ◽  
Image Transfer ◽  
Server Side ◽  
Network Bandwidth ◽  
Novel Approaches

medical application running outside the workstation environment has to deal with several limitations, such as reduced available memory and low network bandwidth. Adaptations and novel approaches are required to make applications overcome such problems. This paper presents an approach that uses a combination of client- and server-side procedures to dynamically optimize the data flow for fast image transfer and visualization on mobile and stationary devices. The main goal of our approach is to minimize the amount of data transferred to and used in the host device without sacrificing the user experience. Our approach was implemented and validated using a real use case, the application Animati Viewer, which is a web visualizer for diagnostic images. The evaluation was measured using metrics such as the accumulated amount of network transferred data and the amount of memory used in the host device. The results show that our approach is feasible and, in one of our tests, it transferred only 7.73% of the amount of data downloaded by the OsiriX mobile.

scholarly journals Signal-Based Performance Evaluation of Dereverberation Algorithms

2010 ◽  
Vol 2010 ◽  
pp. 1-5 ◽  
Author(s):  
Patrick A. Naylor ◽  
Nikolay D. Gaubitch ◽  
Emanuël A. P. Habets
Keyword(s):  
Performance Evaluation ◽  
Least Squares ◽  
Impulse Response ◽  
Time Varying ◽  
Normalization Procedure ◽  
Input Output ◽  
Before And After ◽  
Source Signal ◽  
Simulation Results

We address the measurement of reverberation in terms of the (DRR) in the context of the assessment of dereverberation algorithms for which we wish to quantify the level of reverberation before and after processing. The DRR is normally calculated from the impulse response of the reverberating system. However, several important dereverberation algorithms involve nonlinear and/or time-varying processing and therefore their effect cannot conveniently be represented in terms of modifications to the impulse response of the reverberating system. In such cases, we show that a good estimate of DRR can be obtained from the input/output signals alone using the Signal-to-Reverberant Ratio (SRR) only if the source signal is spectrally white and correctly normalized. We study alternative normalization schemes and conclude by showing a least squares optimal normalization procedure for estimating DRR using signal-based SRR measurement. Simulation results illustrate the accuracy of DRR estimation using SRR.

Performance evaluation of the construction of American military housing after the war towards local development

2014 ◽  
Vol 64 (Supplement-2) ◽  
pp. 317-326
Author(s):  
Kuo-Liang Chang ◽  
Shang-Chia Chiou ◽  
Jih-Lian Ha
Keyword(s):  
Performance Evaluation ◽  
Relative Efficiency ◽  
Local Governments ◽  
Local Development ◽  
The United States ◽  
Cultural Development ◽  
Input Output ◽  
American Military ◽  
The Us ◽  
Output Factors

The US dispatched a large quantity of troops to Taiwan in 1950 and constructed American Military Housing in Shilin District. The United States military in Taiwan provided military and economic assistance. The preference to the US increased with enhancing national living standards so that local economic and cultural development were greatly affected by the introduction of the US culture. By applying DEA to measuring the performance evaluation of local governments, appropriate input/output factors are selected to efficiently evaluate the performance of local governments. To integrate the selection of input/output factors with expert opinions, reduce input costs, and avoid fuzziness in the investigation process, Fuzzy Delphi Method is utilized for sieving input/output factors. The research results show the relative efficiency of 2 local governments being strong-form efficiency, with the efficiency = 1, revealing the better relative efficiency. The relative efficiency of 3 local governments, 25% of all DMUs, appears in 0.9–1, presenting the relative efficiency of such local governments being more easily enhanced. The efficiency of 7 local governments, 58% of all DMUs, is lower than 0.9, showing the distinct inefficiency.

scholarly journals Performance evaluation analysis for a Life Cycle Assessment Method based on Economic Input-Output Tables

2001 ◽  
Vol 121 (12) ◽  
pp. 1957-1962
Author(s):  
Yoshinori KOBAYASHI ◽  
Kumiko AMEMIYA ◽  
Hideyo KAGAMI ◽  
Kazuhito HARUKI
Keyword(s):  
Life Cycle Assessment ◽  
Performance Evaluation ◽  
Life Cycle ◽  
Assessment Method ◽  
Input Output

scholarly journals Performance Evaluation of Collaborative Innovation of Industry, University and Research Institute in China

2020 ◽  
Vol 214 ◽  
pp. 03050
Author(s):  
Zhu Xuangong ◽  
Wang Ning
Keyword(s):  
Performance Evaluation ◽  
Technological Innovation ◽  
Research Collaboration ◽  
Evaluation Model ◽  
University Research ◽  
Input Output ◽  
Performance Evaluation Model ◽  
Collaborative Innovation ◽  
Important Form ◽  
Research Institute

As an important form of technological innovation, the collaborative innovation of industry-university-research institute has attracted more and more attention from the business circles, science and technology management departments and academic circles in China. Against this background, the performance evaluation model of industry-university-research collaboration innovation was established on the basis of the input-output perspective, and the factor analysis was used to scientifically assess the performance of industry-university-research collaboration innovation in 29 provinces and cities in China. The scores and rankings were analyzed in detail.

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