scholarly journals Render Farm for Highly Realistic Images in a Beowulf Cluster using Distributed Programming Techniques

Author(s):  
Enrique Lee Huamaní ◽  
Patricia Condori ◽  
Brian Meneses-Claudio ◽  
Avid Roman-Gonzalez
2012 ◽  
Vol 2 (3) ◽  
pp. 71-86 ◽  
Author(s):  
César García-García ◽  
José Luis Fernández-Robles ◽  
Victor Larios-Rosillo ◽  
Hervé Luga

This article presents the current development of a serious game for the simulation of massive evacuations. The purpose of this project is to promote self-protection through awareness of the procedures and different possible scenarios during the evacuation of a massive event. Sophisticated behaviors require massive computational power and it has been necessary to implement several distributed programming techniques to simulate crowds of thousands of people. Even with the current state of computer hardware, the costs of building and operating this hardware is still prohibitive; so, it‘s preferred to apply distributed programming techniques running on specialized parallel computing hardware.


2003 ◽  
Author(s):  
George Hamer ◽  
Daniel R. Steinwand
Keyword(s):  

Author(s):  
Ram Pratap Sinha

Performance analysis of mutual funds is usually made on the basis of return-risk framework. Traditionally, excess return (over risk-free rate) to risk ratios were used for the purpose mutual fund evaluation. Subsequently, the application of non-parametric mathematical programming techniques in the context of performance evaluation facilitated multi-criteria decision making. However,the estimates of performance on the basis of conventional programming techniques like DEA and FDH are affected by the presence of outliers in the sample observations. The present, accordingly uses more robust benchmarking techniques for evaluating the performance od sectoral mutual fund schemes based on observations for the second half of 2010. The USP of the present study is that it uses two partial frontier techniques (Order-m and Order- a) which are less susceptible to the problem of extreme data.


Polymers ◽  
2021 ◽  
Vol 13 (11) ◽  
pp. 1887
Author(s):  
Viviana Quintero ◽  
Arturo Gonzalez-Quiroga ◽  
Angel Darío Gonzalez-Delgado

The conservation and proper management of natural resources constitute one of the main objectives of the 2030 Agenda for Sustainable Development designed by the Member States of the United Nations. In this work, a hybrid strategy based on process integration is proposed to minimize freshwater consumption while reusing wastewater. As a novelty, the strategy included a heuristic approach for identifying the minimum consumption of freshwater with a preliminary design of the water network, considering the concept of reuse and multiple pollutants. Then, mathematical programming techniques were applied to evaluate the possibilities of regeneration of the source streams through the inclusion of intercept units and establish the optimal design of the network. This strategy was used in the shrimp shell waste process to obtain chitosan, where a minimum freshwater consumption of 277 t/h was identified, with a reuse strategy and an optimal value of US $5.5 million for the design of the water network.


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