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    Hybrid Multilayer Evolutionary Algorithms and Its Applications in Optimization

    , M.Sc. Thesis Sharif University of Technology Babaeizadeh, Mohammad (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    Evolutionary algorithms have gradually established a strong foothold as powerful search methods and have been widely applied to solve problems in many disciplines. By the way the performance of these algorithms in hierarchical applications is not satisfying. In order to improve the performance and applicability, numerous sophisticated mechanisms have been introduced and integrated into EAs. In this thesis we have tried to implement a multilayer evolutionary algorithm in order to overcome the problem. The practical results show this improvement any various aspects.

     

    Searching for galactic hidden gas through interstellar scintillation: the OSER project

    , Article Proceedings of Science, 18 August 2008 through 22 August 2008, Stockholm ; 2008 ; 18248039 (ISSN) Moniez, M ; Ansari, R ; Habibi, F ; Sharif University of Technology
    2008
    Abstract
    Considering the results of baryonic compact massive objects searches through microlensing [1], cool molecular hydrogen (H2 - He) clouds should now be seriously considered as a possible major component of the Galactic hidden matter. It has been suggested that a hierarchical structure of cold H 2 could fill the Galactic thick disk [8] or halo [3], providing a solution for the Galactic hidden matter problem. This gas should form transparent "clumpuscules" of ∼ 10 AU size, with a column density of 1024-25cm-2, and a surface filling factor smaller than 1%. The OSER project (Optical Scintillation by Extraterrestrial Refractors) is proposed to search for scintillation of extra-galactic sources... 

    Simulation of the Self-organized Critical Models on the
    Human’s Brain Network

    , M.Sc. Thesis Sharif University of Technology Shokouhi, Fatemeh (Author) ; Moghimi Araghi, Saman (Supervisor)
    Abstract
    Self-organized critical phenomena are interesting phenomena which are ubiquitous in nature. Examples include mountain ranges , coastlines and also activities in the hu-man's brain. In these processes, without fine-tuning of any external parameter such as the temperature, the system exhibits critical behavior. In other words, the dynamics of the system, drives it towards an state in which long range correlations in space and scaling behaviors can be seen.The first successful model which could characterize such systems was BTW model, introduced by Bak , Tang and Wiesenfeld in 1987. This model, later named Abelian sandpile model, was very simple and because of this simplicity, a large amount of... 

    Two-level Robust Control of Large-scale Systems

    , Ph.D. Dissertation Sharif University of Technology Rahmani, Mehdi (Author) ; Sadati, Naser (Supervisor)
    Abstract
    In this thesis, two-level optimal control of uncertain and non-uncertain large-scale systems is presented. In the proposed two-level approach, using a decomposition/coordination framework, the large-scale system is first decomposed into several interactive subsystems, at the first-level, where a smaller optimization problem is solved at each subsystem. At the second-level, a substitution type prediction method, as a coordination strategy, is used to predict the interaction between subsystems. The coordinator mainly evaluates the next update for the coordination parameters and continues to exchange information with the first-level, so that the overall optimum solution is obtained. It is shown... 

    Designing a collaborative digital library to improve educational systems accompanied by a perspective from Iranian scholar attitudes

    , Article International Conference on Enterprise Information Systems and Web Technologies 2010, EISWT 2010, 12 July 2010 through 14 July 2010 ; 2010 , Pages 132-140 ; 9781617820656 (ISBN) Badashian, A. S ; Firouz Abadi, A. D ; Khalkhali, I ; Shafiei, M. S ; Vojdanijahromi, R ; Sharif University of Technology
    Abstract
    In this article, a universal collaborative and competitive approach is introduced for deployment of digital collections in an ideal Digital Library for future's educational system. A hierarchical structure is proposed to be used for browsing and searching within mass of digital contents provided for union of curriculums worldwide. The collaborative and open-source aspects of the system guarantee the growth of the Digital Library. On the other hand, the competitive and reviewing aspects guarantee the accuracy of the novel library contents. Two experiments confirm the need for such a universal Digital Library worldwide to enhance learning capabilities, increase accessibility, avoid redundancy... 

    Highly concurrent latency-tolerant register files for GPUs

    , Article ACM Transactions on Computer Systems ; Volume 37, Issue 1-4 , 2021 ; 07342071 (ISSN) Sadrosadati, M ; Mirhosseini, A ; Hajiabadi, A ; Ehsani, S. B ; Falahati, H ; Sarbazi Azad, H ; Drumond, M ; Falsafi, B ; Ausavarungnirun, R ; Mutlu, O ; Sharif University of Technology
    Association for Computing Machinery  2021
    Abstract
    Graphics Processing Units (GPUs) employ large register files to accommodate all active threads and accelerate context switching. Unfortunately, register files are a scalability bottleneck for future GPUs due to long access latency, high power consumption, and large silicon area provisioning. Prior work proposes hierarchical register file to reduce the register file power consumption by caching registers in a smaller register file cache. Unfortunately, this approach does not improve register access latency due to the low hit rate in the register file cache. In this article, we propose the Latency-Tolerant Register File (LTRF) architecture to achieve low latency in a two-level hierarchical... 

    State of the art review on design and manufacture of hybrid biomedical materials: Hip and knee prostheses

    , Article Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine ; Volume 231, Issue 9 , 2017 , Pages 785-813 ; 09544119 (ISSN) Bahraminasab, M ; Farahmand, F ; Sharif University of Technology
    Abstract
    The trend in biomaterials development has now headed for tailoring the properties and making hybrid materials to achieve the optimal performance metrics in a product. Modern manufacturing processes along with advanced computational techniques enable systematical fabrication of new biomaterials by design strategy. Functionally graded materials as a recent group of hybrid materials have found numerous applications in biomedical area, particularly for making orthopedic prostheses. This article, therefore, seeks to address the following research questions: (RQ1) What is the desired structure of orthopedic hybrid materials? (RQ2) What is the contribution of the literature in the development of... 

    Portfolio Management: Combining Hierarchical Models with Prior Hierarchical Structure

    , M.Sc. Thesis Sharif University of Technology Shahryarpoor, Farhad (Author) ; Arian, Hamid Reza (Supervisor) ; Zamani, Shiva (Supervisor)
    Abstract
    I investigate methods of integrating prior hierarchical structure into hierarchical portfolio optimization methods. My contributions to the literature are forming a prior hierarchical structure based on investors' priorities and generating a unique representative distance matrix, which can be used as an input to other portfolio optimization methods too. In addition, I use SIC and GICs industry classifications as priory information for S&P500 companies and use them as a complementary input to the Hierarchical Risk Parity model and Hierarchical Equal Risk Contribution and compare the resultant portfolios' performance with (López de Prado, 2019)’s method of integrating prior information and... 

    Multi-Scale Numerical Modeling of Two Phase Flow over Flexible Surface Micro-Structures

    , Ph.D. Dissertation Sharif University of Technology Heyat Davoudian, Salar (Author) ; Javadi, Khodayar (Supervisor)
    Abstract
    The present thesis investigates the micro-droplet dynamics in an inclined channel covered with flexible structures. For this purpose, the DPD (dissipative particle dynamics) method is used to study the behavior of particles present in the flow, including the droplet, the fluid around the droplet, and polymeric structures. This model leads to a more accurate representation of flow hydrodynamics and indicates the way for exploring and understanding complex fluid properties in real flows. The first part of the thesis deals with the dynamics of rising bubbles attached to a vertical wall under different wettability conditions. Even though bubbles rising freely in a liquid have extensively been... 

    Image Categorization Using Deep Learning

    , M.Sc. Thesis Sharif University of Technology Behfar, Sajad (Author) ; Jafari Siavoshani, Mahdi (Supervisor) ; Rabiee, Hamid Reza (Co-Advisor)
    Abstract
    The representation of data influences the explanation factors of data variations. Thus,the success of learner algorithms depends on the data representation. Our main contribution in this thesis is learning of high level and abstract representation using deep structure. One of the fundamental examples of representation learning is the AutoEncoders. The auto-encoder is a rigid framework that doesn’t consider explanation factors in terms of statistical concepts. So, the auto-encoders can be re-interpreted by seeing the decoder as the statistical model of interest. The role of encoder is a mechanism for inference in the model described by the decoder. Our purpose is to design such model with... 

    Mining distributed frequent itemsets using a gossip based protocol

    , Article Proceedings - IEEE 9th International Conference on Ubiquitous Intelligence and Computing and IEEE 9th International Conference on Autonomic and Trusted Computing, UIC-ATC 2012 ; 2012 , Pages 780-785 Bagheri, M ; Mirian Hosseinabadi, S. H ; Mashayekhi, H ; Habibi, J ; Sharif University of Technology
    2012
    Abstract
    Recently, there has been a growing attention in frequent itemset mining in distributed systems. In this paper, we present an algorithm to extract frequent itemsets from large distributed datasets. Our algorithm uses gossip as the communication mechanism and does not rely on any central node. In gossip based communication, nodes repeatedly select other random nodes in the system, and exchange information with them. Our algorithm proceeds in rounds and provides all nodes with the required support counts of itemsets, such that each node is able to extract the global frequent itemsets. For local iteration and generation of candidate itemsets, a trie data structure is used, which facilitates the... 

    A mixture of modular structures to describe human motor planning level: A new perspective based on motor decomposition

    , Article 2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011 ; 2011 , Pages 199-204 ; 9781467310055 (ISBN) Sadeghi, M ; Andani, M. E ; Fattah, A ; Parnianpour, M ; Sharif University of Technology
    Abstract
    A modular hierarchical structure is developed to describe human movement planning level. The modular feature of the proposed model enables it to generalize planning a task. The movements are planned based on decomposing a task into its corresponding subtasks (motion phases). There is a module responsible for one condition. The final plan is constructed using soft computing of the plans proposed by different modules. Each module estimates the kinematics of the joints at the end of each subtask; we call them kinematic estimator modules (KEMs). A timing module estimates the duration of motion and a gating module determines the responsibility of each KEM under different conditions. To evaluate... 

    Development of a new analytical tool to design hierarchical truss beams for natural frequency

    , Article Journal of Mechanical Science and Technology ; Volume 25, Issue 10 , October , 2011 , Pages 2495-2503 ; 1738494X (ISSN) Fazli, N ; Malaek, S. M. B ; Abedian, A ; Teimouri, H ; Sharif University of Technology
    2011
    Abstract
    A set of recursive equations are introduced for optimum design of a wide range of hierarchical truss beams to satisfy a minimum required natural frequency. The design equations are based on a general analytical solution, which are derived based on a critical dimensional analysis. A practical example is examined in both 2D and 3D spaces, which promises substantial mass reduction, as much as 99%, when using high order hierarchical truss beams. The results are verified by numerical evaluation of three case studies. The approach looks also very promising to design nanostructures when it comes to the problems associated with vibration  

    Towards a knowledge based approach to style driven architecture design

    , Article Procedia Computer Science, 5 March 2015 through 6 March 2015 ; Volume 62 , 2015 , Pages 236-244 ; 18770509 (ISSN) Moaven, S ; Habibi, J ; Alidoosti, R ; Parvizi Mosaed, A ; Bahrami, M ; Sharif University of Technology
    Abstract
    Nowadays, knowledge is the key to success in all software engineering processes. This valuable knowledge, obtained through analysis, design, development, and maintenance processes of the system, should be saved and reused in designing and developing current and similar systems. Using pre-existing knowledge is a practical approach which reduces design complexity, improves software architecture design and manages software quality. In this paper, we describe an approach to create architecture design knowledge using a hierarchical structure of architectural styles based on quality attributes. Knowledge is most importance asset of our approach that reuses similar domains, correlates architectures... 

    FTS: An efficient tree structure based tool for searching in large data sets

    , Article ICIME 2010 - 2010 2nd IEEE International Conference on Information Management and Engineering, 16 April 2010 through 18 April 2010 ; Volume 2 , April , 2010 , Pages 294-298 ; 9781424452644 (ISBN) Saejdi Badashian, A ; Najafpour, M ; Mahdavi, M ; Ashurzad Delcheh, M ; Khalkhali, I ; Sharif University of Technology
    2010
    Abstract
    This paper addresses the issue of finding and accessing desired items when a large amount of data items are concerned, by proposing some concepts based on Tree Search Structure -a hierarchical structure for information retrieval. The proposed concepts are applicable to several environments such as File Managers on PCs, help tree views, site maps, taxonomies, and cell phones. A software tool, FTS (File Tree Search), that is developed to utilize the proposed concepts is also presented  

    A road map for knowledge management systems design using axiomatic design approach

    , Article MATEC Web of Conferences, 13 September 2017 through 15 September 2017 ; Volume 127 , 2017 ; 2261236X (ISSN) Houshmand, M ; Amani, M ; Slatineanu, L ; Sharif University of Technology
    Abstract
    Successful design and implementation of knowledge management systems have been the main concern of many researchers. It has been reported that more than 50% of knowledge management systems have failed, therefore, it is required to seek for a new and comprehensive scientific approach to design and implement it. In the design and implementation of a knowledge management system, it is required to know 'what we want to achieve' and 'how and by what processes we will achieve it'. A literature review conducted and axiomatic design theory selected for this purpose. For the first time, this paper develops a conceptual design of knowledge management systems by means of a hierarchical structure,... 

    Enforcing access control policies over data stored on untrusted server

    , Article 2017 14th International ISC (Iranian Society of Cryptology) Conference on Information Security and Cryptology, ISCISC 2017, 6 September 2017 through 7 September 2017 ; 2018 , Pages 54-57 ; 9781538665602 (ISBN) Soltani, N ; Jalili, R ; Sharif University of Technology
    Abstract
    One of the security issues in data outsourcing scenario is the enforcement of data owner's access control policies. This includes some challenges; namely, the number of keys required to access authorized resources, efficient policy updating, write access control enforcement, user and data owner overhead, and preserving confidentiality of data and policies. Most of the existing solutions address only some of the challenges, while they impose high overhead on both the data owner and users. Though, policy management in the Role-Based Access Control (RBAC) model is easier and more efficient due to the existence of role hierarchical structure and role inheritance; most of the existing solutions... 

    Swing up and arm trajectory tracking of the furuta pendulum with sliding mode control

    , Article 5th RSI International Conference on Robotics and Mechatronics, IcRoM 2017, 25 October 2017 through 27 October 2017 ; 2018 , Pages 346-351 ; 9781538657034 (ISBN) Karamin Manesh, M. J ; Nikzad Goltapeh, A ; Sharif University of Technology
    Abstract
    In this paper, the swing-up problem of the Furuta pendulum has been solved by introducing a new combined method based on the frequency response, and the sliding mode method. Furthermore, a trajectory tracking controller has been introduced and applied to the Furuta pendulum; which the pendulum remained regulated at the upward position, while the arm tracks a desired time-varying trajectory. The hierarchical sliding mode control (HSMC) approach has been employed to achieve the mentioned goals. The Furuta system is made up of two subsystems. Based on this physical structure, the hierarchical structure of the sliding surfaces is designed as follows: first, the sliding surface of each subsystem... 

    A graph-theoretic approach toward autonomous skill acquisition in reinforcement learning

    , Article Evolving Systems ; Volume 9, Issue 3 , 2018 , Pages 227-244 ; 18686478 (ISSN) Kazemitabar, S. J ; Taghizadeh, N ; Beigy, H ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    Hierarchical reinforcement learning facilitates learning in large and complex domains by exploiting subtasks and creating hierarchical structures using these subtasks. Subtasks are usually defined through finding subgoals of the problem. Providing mechanisms for autonomous subgoal discovery and skill acquisition is a challenging issue in reinforcement learning. Among the proposed algorithms, a few of them are successful both in performance and also efficiency in terms of the running time of the algorithm. In this paper, we study four methods for subgoal discovery which are based on graph partitioning. The idea behind the methods proposed in this paper is that if we partition the transition... 

    A lightweight hierarchical authentication scheme for internet of things

    , Article Journal of Ambient Intelligence and Humanized Computing ; 2018 , Pages 1-13 ; 18685137 (ISSN) Akbarzadeh, A ; Bayat, M ; Zahednejad, B ; Payandeh, A ; Aref, M. R ; Sharif University of Technology
    Springer Verlag  2018
    Abstract
    The Internet of Things (IoT) technology enables numerous things with different processing power and storage capacity to communicate and share data with each other. Considering the constrained devices of the IoT network in terms of processing and storage, designing a lightweight authentication scheme is quite important. So in this paper, we propose a lightweight authentication scheme based on Chebyshev Chaotic Maps. In the proposed scheme we apply a hierarchical structure to define different access controls for various entities. We then provide a formal analysis via the BAN logic to show the security of our scheme. Moreover, we compare our proposed scheme with previous ones in terms of...