scholarly journals Performance Evaluation of Airport Construction Energy-saving based on DEA Network Design and Performance Analysis

2011 ◽  
Vol 11 ◽  
pp. 358-364 ◽  
Author(s):  
Guo Xiao-yan
Keyword(s):  
Performance Evaluation ◽  
Performance Analysis ◽  
Network Design ◽  
Energy Saving ◽  
And Performance

scholarly journals Performance evaluation of a 15 kWth biomass gasifier in downdraft and updraft operating modes: an experimental study

2018 ◽  
Vol 172 ◽  
pp. 06005
Author(s):  
K. Shanmuganandam ◽  
J. Anichai ◽  
V. Jayakumar
Keyword(s):  
Power Generation ◽  
Experimental Study ◽  
Performance Evaluation ◽  
Performance Analysis ◽  
Ambient Air ◽  
Producer Gas ◽  
Operating Modes ◽  
Feed Stock ◽  
Alternate Source ◽  
And Performance

Biomass gasifiers are equipment’s that can generate producer gas which is a renewable, alternate source of energy that can be employed for power generation and thermal applications. In this experimental study the gasifier is tested in updraft and downdraft modes and performance analysis was carried out. For both the studies, casuarina wood and ambient air were used as feed stock and gasification agent respectively. From the experimental analysis it was inferred that the performance of the biomass gasifier was higher in downdraft mode than updraft mode.

scholarly journals Performance Analysis of Honeypot with Petri Nets

Information ◽  
2018 ◽  
Vol 9 (10) ◽  
pp. 245 ◽  
Author(s):  
Leyi Shi ◽  
Yang Li ◽  
Haijie Feng
Keyword(s):  
Performance Evaluation ◽  
Performance Analysis ◽  
Petri Nets ◽  
Detection System ◽  
Stochastic Petri Nets ◽  
Active Defense ◽  
Evaluation Scheme ◽  
And Performance ◽  
Set Up ◽  
Theoretical Inference

As one of the active defense technologies, the honeypot deceives the latent intruders to interact with the imitated systems or networks deployed with security mechanisms. Its modeling and performance analysis have not been well studied. In this paper, we propose a honeypot performance evaluation scheme based on Stochastic Petri Nets (SPN). We firstly set up performance evaluation models for three types of defense scenarios (i.e., firewall; firewall and Intrusion Detection System (IDS); firewall, IDS and honeypot) based on SPN. We then theoretically analyze the SPN models by constructing Markov Chains (MC), which are isomorphic to the models. With the steady state probabilities based on the MC, the system performance evaluation is done with theoretical inference. Finally, we implement the proposed three SPN models on the PIPE platform. Five parameters are applied to compare and evaluate the performance of the proposed SPN models. The analysis of the probability and delay of three scenarios shows that the simulation results validate the effectiveness in security enhancement of the honeypot under the SPN models.

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