WorldCat Identities

Shokrollahi, Amin 1964-

Overview
Works: 10 works in 33 publications in 2 languages and 473 library holdings
Roles: Author, Editor, Other, Thesis advisor
Publication Timeline
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Most widely held works by Amin Shokrollahi
Theoretical aspects of computer science : advanced lectures by Gholamreza B Khosrovshahi( Book )

17 editions published in 2002 in English and held by 406 WorldCat member libraries worldwide

This book presents the revised final versions of eight lectures given by leading researchers at the First Summer School on Theoretical Aspects of Computer Science in Tehran, Iran, in July 2000. The lectures presented are devoted to quantum computation, approximation algorithms, self-testing/correction, algebraic modeling of data, the regularity lemma, multiple access communication and combinatorial designs, graph-theoretical methods in computer vision, and low-density parity-check codes
Raptor codes by Amin Shokrollahi( )

8 editions published between 2011 and 2014 in English and Undetermined and held by 53 WorldCat member libraries worldwide

The monograph starts with the description of some of the transmission problems, which inspired the invention of Fountain codes. Thereafter, Luby transform codes (LT codes) and Raptor codes are introduced and insights are provided into their design. These codes are currently the most efficient realizations of Fountain codes. Different algorithms are introduced for encoding and decoding various versions of these codes, including their systematic versions. Moreover, a hybrid decoding algorithm called "inactivation decoding" is introduced, which is an integral part of all modern implementations of Raptor codes
Fountain codes under maximum likelihood decoding by Francisco Lázaro Blasco( Book )

1 edition published in 2017 in English and held by 4 WorldCat member libraries worldwide

Generalized codes on graphs and applications in content distribution by Masoud Alipour Babaei( Book )

1 edition published in 2013 in English and held by 2 WorldCat member libraries worldwide

Graph-based Codes and Generalized Product Constructions( Book )

1 edition published in 2013 in English and held by 2 WorldCat member libraries worldwide

Raptor codes( Book )

1 edition published in 2011 in English and held by 2 WorldCat member libraries worldwide

Fracture density determination using a novel hybrid computational scheme: a case study on an Iranian Marun oil field reservoir( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

Abstract: Most oil production all over the world is from carbonated reservoirs. Carbonate reservoirs are abundant in the Middle East, the Gulf of Mexico and in other major petroleum fields that are regarded as the main oil producers. Due to the nature of such reservoirs that are associated with low matrix permeability, the fracture is the key parameter that governs the fluid flow in porous media and consequently oil production. Conventional methods to determine the fracture density include utilizing core data and the image log family, which are both time consuming and costly processes. In addition, the cores are limited to certain intervals and there is no image log for the well drilled before the introduction of this tool. These limitations motivate petroleum engineers to try to find appropriate alternatives. Recently, intelligent systems on the basis of machine learning have been applied to various branches of science and engineering. The objective of this study is to develop a mathematical model to predict the fracture density using full set log data as inputs based on a combination of three intelligent systems namely, the radial basis function neural network, the multilayer perceptron neural network and the least square supported vector machine. The developed committee machine intelligent system (CMIS) is the weighted average of the individual results of each expert. Proper corresponding weights are determined using a genetic algorithm (GA). The other important feature of the proposed model is its generalization capability. The ability of this model to predict data that have not been introduced during the training stage is very good
Algorithmique : semestre d'été 2006-2007( Book )

1 edition published in 2007 in French and held by 1 WorldCat member library worldwide

Rapid method to estimate the minimum miscibility pressure (MMP) in live reservoir oil systems during CO2 flooding( )

1 edition published in 2015 in English and held by 1 WorldCat member library worldwide

Highlights: The gene expression programming technique is used to develop a model for the minimum miscibility pressure (MMP). An extensive set of experimental data was used to develop and validate the model. The model is more accurate, extensive, and efficient compared with the empirical correlations. Abstract: Flooding fuel-generated CO2 into oil reservoirs will lead to two advantages in both enhanced oil recovery (EOR) and reduction in atmospheric emission of carbon dioxide. The main factor for determination of the possibilities to EOR by e.g. CO2 injection, in particular miscible case, into a specific oil reservoir is the CO2 –oil minimum miscibility pressure (MMP). In this communication, we present the utilization of a soft-computing technique – gene expression programming (GEP) – for developing a new symbolic equation to pursue our objective. In other words, this work presents a new approach to predict both pure and impure CO2 –oil MMP in live reservoir oil systems. The parameters of the new model involve the molecular weight of C5+ fraction in crude oil, reservoir temperature, the mole percentage ratio of volatile to intermediate components of oil and critical temperature. A comprehensive error investigation is done to discuss accuracy of the recently proposed MMP model. Additionally, the results obtained by the new GEP-based model are compared with most widely-used empirically derived correlations available in the literature to show the superiority of the model. The results obtained in this study are encouraging and can propose accurate and efficient solutions for the case of CO2 –oil MMP of pure and impure components in live oil systems
Theoretical aspects of computer science : advanced lectures( )

1 edition published in 2002 in English and held by 1 WorldCat member library worldwide

 
Audience Level
0
Audience Level
1
  Kids General Special  
Audience level: 0.71 (from 0.67 for Raptor cod ... to 0.96 for Graph-base ...)

Theoretical aspects of computer science : advanced lectures Theoretical aspects of computer science : advanced lectures
Covers
Raptor codesRaptor codesTheoretical aspects of computer science : advanced lectures
Alternative Names
Amin Shokrollahi

Amin Shokrollahi cryptograaf uit Iran

Amin Shokrollahi Iranian mathematician

Amin Shokrollahi mathematician

Amin Shokrollahi mathématicien et informaticien iranien

Shokrollahi, Amin

Šukr Allāh, Amīn

Šukr Allāh, Muḥammad Amīn

Šukrallāh, Amīn

Šukrallāh, Muḥammad Amīn

Languages
English (31)

French (1)