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    A competitive optimization approach for data clustering and orthogonal non-negative matrix factorization

    , Article 4OR ; 2020 Dehghanpour Sahron, J ; Mahdavi Amiri, N ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2020
    Abstract
    Partitioning a given data-set into subsets based on similarity among the data is called clustering. Clustering is a major task in data mining and machine learning having many applications such as text retrieval, pattern recognition, and web mining. Here, we briefly review some clustering related problems (k-means, normalized k-cut, orthogonal non-negative matrix factorization, ONMF, and isoperimetry) and describe their connections. We formulate the relaxed mean version of the isoperimetry problem as an optimization problem with non-negative orthogonal constraints. We first make use of a gradient-based optimization algorithm to solve this kind of a problem, and then apply a post-processing... 

    A competitive optimization approach for data clustering and orthogonal non-negative matrix factorization

    , Article 4OR ; Volume 19, Issue 4 , 2021 , Pages 473-499 ; 16194500 (ISSN) Dehghanpour Sahron, J ; Mahdavi Amiri, N ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Partitioning a given data-set into subsets based on similarity among the data is called clustering. Clustering is a major task in data mining and machine learning having many applications such as text retrieval, pattern recognition, and web mining. Here, we briefly review some clustering related problems (k-means, normalized k-cut, orthogonal non-negative matrix factorization, ONMF, and isoperimetry) and describe their connections. We formulate the relaxed mean version of the isoperimetry problem as an optimization problem with non-negative orthogonal constraints. We first make use of a gradient-based optimization algorithm to solve this kind of a problem, and then apply a post-processing... 

    All-optical recurrent neural network with reconfigurable activation function

    , Article IEEE Journal of Selected Topics in Quantum Electronics ; 2022 , Pages 1-1 ; 1077260X (ISSN) Ebrahimi Dehghanpour, A ; Koohi, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Abstract
    Optical Neural Networks (ONNs) can be promising alternatives for conventional electrical neural networks as they offer ultra-fast data processing with low energy consumption. However, lack of suitable nonlinearity is standing in their road of achieving this goal. While this problem can be circumvented in feed-forward neural networks, the performance of the recurrent neural networks (RNNs) depends heavily on their nonlinearity. In this paper, we first propose and numerically demonstrate a novel reconfigurable optical activation function, named ROA, based on adding or subtracting the outputs of two saturable absorbers (SAs). RAO can provide both bounded and unbounded outputs by facilitating an... 

    Orthogonal nonnegative matrix factorization problems for clustering: A new formulation and a competitive algorithm

    , Article Annals of Operations Research ; 2022 ; 02545330 (ISSN) Dehghanpour, J ; Mahdavi Amiri, N ; Sharif University of Technology
    Springer  2022
    Abstract
    Orthogonal Nonnegative Matrix Factorization (ONMF) with orthogonality constraints on a matrix has been found to provide better clustering results over existing clustering problems. Because of the orthogonality constraint, this optimization problem is difficult to solve. Many of the existing constraint-preserving methods deal directly with the constraints using different techniques such as matrix decomposition or computing exponential matrices. Here, we propose an alternative formulation of the ONMF problem which converts the orthogonality constraints into non-convex constraints. To handle the non-convex constraints, a penalty function is applied. The penalized problem is a smooth nonlinear... 

    All-Optical recurrent neural network with reconfigurable activation function

    , Article IEEE Journal of Selected Topics in Quantum Electronics ; Volume 29, Issue 2 , 2023 ; 1077260X (ISSN) Dehghanpour, A. E ; Koohi, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2023
    Abstract
    Optical Neural Networks (ONNs) can be promising alternatives for conventional electrical neural networks as they offer ultra-fast data processing with low energy consumption. However, lack of suitable nonlinearity is standing in their way of achieving this goal. While this problem can be circumvented in feed-forward neural networks, the performance of the recurrent neural networks (RNNs) depends heavily on their nonlinearity. In this paper, we first propose and numerically demonstrate a novel reconfigurable optical activation function, named ROA, based on adding or subtracting the outputs of two saturable absorbers (SAs). RAO can provide both bounded and unbounded outputs by facilitating an... 

    Effect of severe plastic deformation on evolution of intermetallic layer and mechanical properties of cold roll bonded Al-Steel bilayer sheets

    , Article Journal of Materials Research and Technology ; Volume 9, Issue 5 , 2020 , Pages 11497-11508 Dehghanpour Baruj, H ; Shadkam, A ; Kazeminezhad, M ; Sharif University of Technology
    Elsevier Editora Ltda  2020
    Abstract
    In this study, evolution of intermetallic layer of the cold roll bonded bilayer of Aluminum-Steel sheets, during severe plastic deformation (SPD) followed by annealing has been investigated. The effect of such evolution on mechanical properties has been discussed. For this purpose, Constrained Groove Pressing (CGP) was used as a SPD process. Field emission scanning electron microscope equipped with energy dispersive spectroscopy and optical microscopy were used for examination of intermetallic compounds morphology and composition. Meanwhile, tensile properties of the bilayer sheets were evaluated. According to microstructural observations, continuous intermetallic layer was formed during... 

    Graph Isoperimetry Problem Using Optimization Methods

    , M.Sc. Thesis Sharif University of Technology Dehghanpour Sohroun, Jafar (Author) ; Daneshgar, Amir (Supervisor)
    Abstract
    In this thesis, we study the mean graph isoperimetry problem using an optimization approach. The k-th isoperimetric constant of a graph is defined as the minimum of an objective function (p-norm of the vector consisting of normalized flow) over k-subpartitions of vertices. We note that the normalized cut problem can be formulated as a semidefinite programming problem and utilizing the relaxation methods for semidefinite programs, the problem can be solved in approximately polynomial time. Finally, we model the isoperimetry problem as an optimization problem with orthogonality constraints and utilizing Wen and Yin’s efficient method for finding local minima of the problem, we extract a... 

    , M.Sc. Thesis Sharif University of Technology Dehghanpour Baruj, Hamed (Author) ; Kazeminezhad, Mohsen (Supervisor)
    Abstract
    Demand to structural and industrial materials with unique properties lead to produce unorthodox combination of metals. One of the most useful combinations is composites of Aluminum-Steel and this composites is mostly used as a sheet. Due to differences in melting point of two metals, preferred method for welding of this two metals is Cold Roll Bonding. For enhance of mechanical properties of this two metals, preferred methods is Severe Plastic Deformation. By the way, in SPD methods, two method was established for sheets. Accumulative Roll Bonding and Constrained Groove Pressing but ARB method produce multi-layer composites so preferred method to produce bilayer sheets is CGP. In this study,... 

    Designing an Optical Processing Unit for Non-Linear Operations in Deep Neural Networks

    , M.Sc. Thesis Sharif University of Technology Ebrahimi Dehghanpour, Aida (Author) ; Koohi, Somayyeh (Supervisor)
    Abstract
    Abstract: In this thesis, we tackled the problem of nonlinear activation function in optical artificial neural networks, and in particular in convolutional and recurrent neural networks. In the end, we propose an all-optical recurrent neural network in free-space optics for the first time. Artificial neural networks are a branch of artificial intelligence, which can be adopted to solve a wide variety of problems. While very powerful, these networks can be very power hungry and slow when it comes to solving very complicated problems. Optical versions of these networks bring the promise of solving both of these issues and provide a fast and power efficient platform for these networks. However,... 

    Design and Analysis of Optimization Algorithms for Solving Nonlinear Optimization Pproblems with Orthogonal Constraints and Certain Applications

    , Ph.D. Dissertation Sharif University of Technology Dehghanpour, Jafar (Author) ; Mahdavi Amiri, Nezamoddin (Supervisor)
    Abstract
    Orthogonal Nonnegative Matrix Factorization (ONMF) with orthogonality constraints on a matrix has been found to provide better clustering results over existing clustering problems . Because of the orthogonality constraint , this optimization problem is difficult to solve . Many of the existing constraint-preserving methods deal directly with the constraints using different techniques such as matrix decomposition or computing exponential matrices . Here , we propose an alternative formulation of the ONMF problem which converts the orthogonality constraints into non-convex constraints . To handle the non-convex constraints , a penalty function is applied . The penalized problem is a... 

    Investigation of Effects of Successive Liquefaction Occurrence on Piles Located in Level Ground With an Inclined Base Layer with Using Stone Cloumns – a Physical 1g Shake Table and Laminar Shear Box Model

    , M.Sc. Thesis Sharif University of Technology Dehghanpour Farashah, Ali (Author) ; Haeri, Mohsen (Supervisor)
    Abstract
    Lateral spreading is defined as finite lateral displacement of mildly sloping grounds or those ending in free faces induced by liquefaction. The phenomenon of lateral spreading caused by liquefaction in coastal areas and mildly sloping grounds has caused significant damage to deep foundations of engineering structures such as bridge and buildings in severe earthquakes. Since earthquake is unavoidable, therefore, it is necessary to provide appropriate solution to reduce the effects of liquefaction induced lateral spreading. Despite conducting various laboratory and field studies by previous researchers, there is still no comprehensive approach to evaluate the effects of lateral spreading on... 

    Finite Element Model Updating in Time Domain Using Water Cycle Algorithm

    , M.Sc. Thesis Sharif University of Technology Dehghanpour, Fatemeh (Author) ; Rahimzadeh Rofooei, Fayaz (Supervisor) ; Mahdavi, Hossein (Co-Supervisor)
    Abstract
    Due to inevitable uncertain sources in modeling, operational and environmental conditions, finite element model and structure’s response to a same load pattern differs drastically. To reduce this difference and make the model’s response close to the real structure, finite element model updating procedure is essential. Updated model can be used for structural assessment, damage identification, remaining service life estimation, and structural control. Model updating methods are categorized into two groups in term of information domain used for model updating; time-domain methods and frequency-domain approaches. Time-domain methods have a preference because of the main drawbacks of frequency... 

    Functional compartmentalization in the hemocoel of insects

    , Article Scientific Reports ; Volume 9, Issue 1 , 2019 ; 20452322 (ISSN) Pendar, H ; Aviles, J ; Adjerid, K ; Schoenewald, C ; Socha, J. J ; Sharif University of Technology
    Nature Publishing Group  2019
    Abstract
    The insect circulatory system contains an open hemocoel, in which the mechanism of hemolymph flow control is ambiguous. As a continuous fluidic structure, this cavity should exhibit pressure changes that propagate quickly. Narrow-waisted insects create sustained pressure differences across segments, but their constricted waist provides an evident mechanism for compartmentalization. Insects with no obvious constrictions between segments may be capable of functionally compartmentalizing the body, which could explain complex hemolymph flows. Here, we test the hypothesis of functional compartmentalization by measuring pressures in a beetle and recording abdominal movements. We found that the... 

    Linear index coding via graph homomorphism

    , Article Proceedings - 2014 International Conference on Control, Decision and Information Technologies, CoDIT 2014 ; 2014 , pp. 158-163 ; ISBN: 9781479967735 Ebrahimi, J. B ; Siavoshani, M. J ; Sharif University of Technology
    2014
    Abstract
    In [1], [2] it is shown that the minimum broadcast rate of a linear index code over a finite field Fq is equal to an algebraic invariant of the underlying digraph, called minrankq. In [3], it is proved that for F2 and any positive integer k, minrankq(G) ≤ k if and only if there exists a homomorphism from the complement of the graph G to the complement of a particular undirected graph family called 'graph family {Gk}'. As observed in [2], by combining these two results one can relate the linear index coding problem of undirected graphs to the graph homomorphism problem. In [4], a direct connection between linear index coding problem and graph homomorphism problem is introduced. In contrast to... 

    Emerging OCDMA communication systems and data networks [electronic resource]

    , Article Journal of Optical Networking ; Volume 6, Issue 9, 1 September 2007, Pages 1138-1178 Salehi, J. A ; Sharif University Of Technology
    Abstract
    I present an in-depth review of the trends and the directions taken by researchers worldwide in optical code-division multiple-access (OCDMA) systems. I highlight those trends and features that I believe are essential to the successful introduction of various OCDMA techniques in communication systems and data networks in the near future. In particular I begin by giving a comprehensive review of the construction of optical orthogonal codes (OOCs). Specifically I discuss the recently developed algorithms that are based on matrix algebra, which simplify and enhance the efficiencies of algorithms in OOC generation. In communication systems studies I first focus on and discuss various OCDMA... 

    Network delay analysis of a (σ, ρ) - Regular traffic stream over multiple paths in a network of fair-queuing servers

    , Article 2013 Iran Workshop on Communication and Information Theory ; May , 2013 , Page(s): 1 - 6 ; 9781467350235 (ISBN) Ashar, J. K ; Golestani, S. J ; Sharif University of Technology
    2013
    Abstract
    In this paper, we analyze the worst-case delay performance of a network of fair queuing servers in case of multiple-paths between source-destination pairs. In order to develop worst-case delay analysis for the multiple-path scenario, two challenging events should be addressed: merging different sub-streams of a session as well as distributing a traffic stream among different paths (traffic partitioning). Specifically, we propose to merge incoming sub-streams of a session to a node according to a limited rate Fair Queuing (FQ) scheme. Although the merged stream is treated as a unity, this approach results in a guaranteed level of service to each sub-stream. In addition, an algorithm is... 

    Effects of tool rake angle and tool nose radius on surface quality of ultraprecision diamond-turned porous silicon

    , Article Journal of Manufacturing Processes ; Volume 37 , 2019 , Pages 321-331 ; 15266125 (ISSN) Heidari, M ; Akbari, J ; Yan, J ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    This paper presents an investigation of the effects of tool rake angle and nose radius on the surface quality of ultraprecision diamond-turned porous silicon. The results showed that as rake angle decreases, the high-stress field induced by the tool edge increases, causing microcracks to propagate extensively near the pore walls. As a result, the ductile-machined areas shrank under a negative tool rake angle. On the other hand, brittle fracture occurred around pores released cutting pressure significantly. These trends of rake angle effects are distinctly different from those in the cutting of non-porous silicon. Finite element simulation of stress in the cutting area agreed with the... 

    Effects of tool rake angle and tool nose radius on surface quality of ultraprecision diamond-turned porous silicon

    , Article Journal of Manufacturing Processes ; Volume 37 , 2019 , Pages 321-331 ; 15266125 (ISSN) Heidari, M ; Akbari, J ; Yan, J ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    This paper presents an investigation of the effects of tool rake angle and nose radius on the surface quality of ultraprecision diamond-turned porous silicon. The results showed that as rake angle decreases, the high-stress field induced by the tool edge increases, causing microcracks to propagate extensively near the pore walls. As a result, the ductile-machined areas shrank under a negative tool rake angle. On the other hand, brittle fracture occurred around pores released cutting pressure significantly. These trends of rake angle effects are distinctly different from those in the cutting of non-porous silicon. Finite element simulation of stress in the cutting area agreed with the... 

    Precipitate strengthening of pyramidal slip in Mg–Zn alloys

    , Article Materials Science and Engineering A ; Volume 804 , 2021 ; 09215093 (ISSN) Alizadeh, R ; Wang, J ; LLorca, J ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    The mechanical properties of Mg-4wt.% Zn alloy single crystals along the [0001] orientation were measured through micropillar compression at 23 °C and 100 °C. Basal slip was dominant in the solution treated alloy, while pyramidal slip occurred in the precipitation hardened alloy. Pyramidal dislocations pass the precipitates by forming Orowan loops, leading to homogeneous deformation and to a strong hardening. The predictions of the yield stress based on the Orowan model were in reasonable agreement with the experimental data. The presence of rod-shape precipitates perpendicular to the basal plane leads to a strong reduction in the plastic anisotropy of Mg. © 2020 Elsevier B.V  

    Precipitate strengthening of pyramidal slip in Mg–Zn alloys

    , Article Materials Science and Engineering A ; Volume 804 , 2021 ; 09215093 (ISSN) Alizadeh, R ; Wang, J ; LLorca, J ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    The mechanical properties of Mg-4wt.% Zn alloy single crystals along the [0001] orientation were measured through micropillar compression at 23 °C and 100 °C. Basal slip was dominant in the solution treated alloy, while pyramidal slip occurred in the precipitation hardened alloy. Pyramidal dislocations pass the precipitates by forming Orowan loops, leading to homogeneous deformation and to a strong hardening. The predictions of the yield stress based on the Orowan model were in reasonable agreement with the experimental data. The presence of rod-shape precipitates perpendicular to the basal plane leads to a strong reduction in the plastic anisotropy of Mg. © 2020 Elsevier B.V