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    A bi-objective possibilistic programming model for open shop scheduling problems with sequence-dependent setup times, fuzzy processing times, and fuzzy due dates

    , Article Applied Soft Computing Journal ; Volume 12, Issue 4 , 2012 , Pages 1399-1416 ; 15684946 (ISSN) Noori Darvish, S ; Mahdavi, I ; Mahdavi Amiri, N ; Sharif University of Technology
    2012
    Abstract
    We are concerned with an open shop scheduling problem having sequence-dependent setup times. A novel bi-objective possibilistic mixed-integer linear programming model is presented. Sequence-dependent setup times, fuzzy processing times and fuzzy due dates with triangular possibility distributions are the main constraints of this model. An open shop scheduling problem with these considerations is close to the real production scheduling conditions. The objective functions are to minimize total weighted tardiness and total weighted completion times. To solve small-sized instances for Pareto-optimal solutions, an interactive fuzzy multi-objective decision making (FMODM) approach, called TH... 

    Improving CCA-Based methods for SSVEP classification using a common source graph

    , Article Iranian Conference on Electrical Engineering, ICEE ; Issue 2024 , 2024 ; 21647054 (ISSN) Noori, N ; Hajipour Sardouie, S ; Sharif University of Technology
    IEEE  2024
    Abstract
    Steady State Visual Evoked Potential (SSVEP)-based Brain Computer Interfaces (BCIs) is one of the most prevalent methods in BCIs. The main purpose of these systems is to detect the frequency of SSVEP to understand which visual stimulus a person is looking at. Various methods have been proposed to detect the frequency of SSVEP. One of the most widely used methods is the Canonical Correlation Analysis (CCA) algorithm. Despite the simplicity and efficiency of the CCA algorithm, none of the methods based on CCA have incorporated the graph structure presented in the EEG and reference signals into the CCA cost function. In this paper, we introduce a novel approach that considers the graph... 

    Linear and nonlinear control strategies for formation and station keeping of spacecrafts within the context of the three body problem

    , Article Aerospace Science and Technology ; Volume 42 , December , 2015 , Pages 12-24 ; 12709638 (ISSN) Darvish, K ; Pourtakdoust, S. H ; Assadian, N ; Sharif University of Technology
    Elsevier Masson SAS  2015
    Abstract
    The problem of spacecraftformation control and reconfiguration for halo orbit around the second libration point (L2) of the Sun-Earth Three Body (TB) system is investigated. Station keeping, reconfigu-ration and precision formation control of spacecrafts on halo orbits are performed via the use of the nonlinear Integral Sliding Mode (ISM) method as well as the optimal closed loop Linear Quadratic Regulator(LQR) approach. In this regard the nonlinear relative dynamics of deputy-chief spacecrafts are derived within the concept of the three body problem. The behavior of the two controllers are compared for different tasks of the formation mission in order to determine the more preferred... 

    A novel architecture of pseudorandom dithered MASH digital delta-sigma modulator with lower spur

    , Article Journal of Circuits, Systems and Computers ; Volume 25, Issue 7 , 2016 ; 02181266 (ISSN) Noori, S. A. S ; Frashidi, E ; Sadughi, S ; Sharif University of Technology
    World Scientific Publishing Co. Pte Ltd  2016
    Abstract
    A Digital Delta Sigma Modulator (DDSM) is a Finite State Machine (FSM); it is implemented using finite precision arithmetic units and the number of available states is finite. The DDSM always produces a periodic output signal when the input is constant. This paper proposes a novel method of applying periodic dither to a DDSM in order to obtain minimized spurious tones. The effects of adding the pseudorandom dither signal in different stages within the proposed Multi-Stage noise Shaping (MASH) modulator are expressed in the equations, and the results are compared. We present results regarding the periodicity of the quantization noise produced by a MASH modulator with a constant input and a... 

    A novel structure of dithered nested digital delta sigma modulator with low-complexity low-spur for fractional frequency synthesizers

    , Article COMPEL - The International Journal for Computation and Mathematics in Electrical and Electronic Engineering ; Volume 35, Issue 1 , 2016 , Pages 157-171 ; 03321649 (ISSN) Sadat Noori , S. A ; Farshidi, E ; Sadoughi, S ; Sharif University of Technology
    Emerald Group Publishing Ltd  2016
    Abstract
    Purpose - Digital Delta Sigma Modulator (DDSM) is used widely in electronic circuits including Radars, class-D power amplifiers and fractional frequency synthesizers. The purpose of this paper is to propose an implementation for MASH DDSMs named as Multi Modulus Reduced Complexity (MMRC) architecture. Design/methodology/approach - This architecture will use a very simple pseudorandom Linear Feedback Shift Register (LFSR) dither signal with period N-d to randomize the digital MMRC modulator used for fractional frequency synthesizers. Using error masking methodology, the MMRC modulator can decrease the hardware consumption and increase accuracy of the fractional frequency synthesizer. Rules... 

    Smart water flooding performance in carbonate reservoirs: an experimental approach for tertiary oil recovery

    , Article Journal of Petroleum Exploration and Production Technology ; Volume 9, Issue 4 , 2019 , Pages 2643-2657 ; 21900558 (ISSN) Darvish Sarvestani, A ; Ayatollahi, S ; Bahari Moghaddam, M ; Sharif University of Technology
    Springer  2019
    Abstract
    Smart water flooding as a developing technique utilizes modified water chemistry in terms of salinity and composition to prepare the best-suited brine composition for a specific brine/oil/rock system to obtain higher oil recovery efficiency. Huge amount of unrecovered oil is expected to be remained in carbonate reservoirs; however, few research works on incremental oil recovery during smart water injection in carbonate cores at reservoir condition are reported. Several core flooding tests using one of the Iranian carbonate reservoir rock are conducted to check the effectiveness of smart water injection for more oil recovery efficiency. The results reaffirm the positive effect of sulfate ions... 

    Assessing the explanatory power of naturalism in addressing ultimate questions

    , Article Vestnik Sankt-Peterburgskogo Universiteta, Filosofiia i Konfliktologiia ; Volume 37, Issue 2 , 2021 , Pages 217-228 ; 25422278 (ISSN) Darvish Aghajani, J ; Sharif University of Technology
    Saint Petersburg State University  2021
    Abstract
    A typical scientist has no responsibility other than to explain how a natural event occurred. However, when a philosopher asks about the conditions under which a scientist’s explanation is true, he is, in fact, raising an ultimate question, the concept which Karl Popper used for the first time. Answering this question requires that no elements are neglected in the explanation, and no significant factors in the explanation are overlooked. In other words, in explaining a phenomenon, at any level of its explanation, there should be no remainder. These requirements can be achieved through the full explanation. In the present article, by drawing on concepts such as theory-ladenness of... 

    Metaphysical necessity in the neo-sadraian school and assessment of necessitarian theories of the laws of nature

    , Article Teorie Vedy / Theory of Science ; Volume 43, Issue 1 , 2021 , Pages 33-57 ; 12100250 (ISSN) Darvish Aghajani, J ; Sharif University of Technology
    Czech Academy of Sciences  2021
    Abstract
    To differentiate between the laws of nature and accidental generalizations, we must adopt a view of necessity that is capable of being realized in relationships existing among natural objects. In neo-Sadraian Islamic philosophy, metaphysical necessity is accepted as part of the cause-effect relationship. This paper compares the neo-Sadraian interpretation of necessity and necessitarian theories about the laws of nature, particularly essentialism and universal theory. By resorting to specific forms al-shûrat al-naw’iyyah, the origin of the essential properties of natural objects, I argue that neo-Sadraians have proposed a perspective on metaphysical necessity that is epistemologically a... 

    Muslims’ lifeworld during the pandemic and humanistic interpretation of religions

    , Article Contemporary Islam ; 2023 ; 18720218 (ISSN) Darvish Aghajani, J ; Sharif University of Technology
    Springer Science and Business Media B.V  2023
    Abstract
    Some proponents of new atheism, including Dawkins, claim that religion, especially Islam, is the cause of the war because it encourages divisiveness and labeling. In this article, in the first step, I will show that Islam is not the cause of war, but rather it is a misconception of Islam that is the cause of divisiveness and eventually war. Then, I will demonstrate that the COVID-19 pandemic and its impact on societies and religious behaviors somehow could, and still can, modify this misconception and blur divisions. This effect occurs in two ways: firstly, a pandemic creates common human problems for all people worldwide, making people more aware of their common points that Islam refers to... 

    Muslims’ lifeworld during the pandemic and humanistic interpretation of religions

    , Article Contemporary Islam ; Volume 18, Issue 3 , 2024 , Pages 367-383 ; 18720218 (ISSN) Darvish Aghajani, J ; Sharif University of Technology
    2024
    Abstract
    Some proponents of new atheism, including Dawkins, claim that religion, especially Islam, is the cause of the war because it encourages divisiveness and labeling. In this article, in the first step, I will show that Islam is not the cause of war, but rather it is a misconception of Islam that is the cause of divisiveness and eventually war. Then, I will demonstrate that the COVID-19 pandemic and its impact on societies and religious behaviors somehow could, and still can, modify this misconception and blur divisions. This effect occurs in two ways: firstly, a pandemic creates common human problems for all people worldwide, making people more aware of their common points that Islam refers to... 

    Multiple-relaxation time color-gradient lattice Boltzmann model for simulating contact angle in two-phase flows with high density ratio

    , Article European Physical Journal Plus ; Volume 134, Issue 8 , 2019 ; 21905444 (ISSN) Sheikholeslam Noori, S. M ; Taeibi Rahni, M ; Shams Taleghani, S. A ; Sharif University of Technology
    Springer Verlag  2019
    Abstract
    The contact line dynamics is an important phenomenon in natural and industrial processes and is still a challenging problem. The complexity of this problem in computational simulations is much more than theoretical and experimental works. In this paper, a color-gradient (CG) lattice Boltzmann method (LBM) for simulating wetting phenomena and the dynamics of contact line in two-phase flows with very high density-ratio (∼ 1000 was used. This method applies a multi-relaxation time (MRT) collision operator to enhance the stability of numerical scheme. Both static and dynamic contact angles were enforced at the wall through geometrical wetting boundary condition. Note, the main nobility of this... 

    Numerical analysis of droplet motion over a flat plate due to surface acoustic waves

    , Article Microgravity Science and Technology ; Volume 32, Issue 4 , 2020 , Pages 647-660 Sheikholeslam Noori, S. M ; Taeibi Rahni, M ; Shams Taleghani, S. A ; Sharif University of Technology
    Springer  2020
    Abstract
    Micro-scale systems have gained considerable attention in recent years and a large amount of researches have been done in this field. In this study, the hydrodynamic interference of a droplet is comprehensively investigated under surface acoustic waves. This paper reveals the effects of some control parameters such as wave amplitude and wave frequency on the dynamical behavior of droplet. For these purposes, a two-dimensional multiple-relaxation-time color-gradient model lattice Boltzmann method is developed. This model is first validated by dynamical behaviors of a droplet subjected to shear flow. Moreover, displacement of a droplet affected by surface acoustic waves is comprehensively... 

    MPC Control of Satellite Formation in the Context of Three Body Problem

    , M.Sc. Thesis Sharif University of Technology Darvish, Kourosh (Author) ; Pourtakdoust, Hossein (Supervisor)
    Abstract
    In this thesis the problem of spacecrafts formation control for halo orbit around the second libration point (L2) of the Sun-Earth Three Body (TB) system is investigated. Station keeping, reconfiguration and precision formation control of spacecrafts on halo orbits are performed via the use of the nonlinear Integral Sliding Mode (ISM) method, optimal closed loop Linear Quadratic regulator (LQR) approach as well as the Model Prodective Control (MPC). In this regard the nonlinear relative dynamics of deputy-chief spacecrafts are derived within the concept of both circular and elliptical three body problem; as well the perturbation model of the Moon and the linear model of restricted three... 

    Surface acoustic waves as control actuator for drop removal from solid surface

    , Article Fluid Dynamics Research ; Volume 53, Issue 4 , 2021 ; 01695983 (ISSN) Noori, M. S ; Taleghani, A. S ; Rahni, M. T ; Sharif University of Technology
    IOP Publishing Ltd  2021
    Abstract
    Several types of research are performed on flow control and this fact highlights the importance of this topic. Over the last two decades, actuators based on acoustic waves have attracted much attention and have been used in widespread applications from mixing to pumping. This paper reveals the effects of some control parameters such as wave amplitude and wave frequency on the dynamical behavior of a sessile drop in order to change the flow characteristics. For this purpose, the removal of water from surfaces and drop movement against gravity are considered. Flow dynamics is simulated using lattice Boltzmann method. The results show that the drop can be removed from the surface in a short... 

    The role of the gut microbiota and nutrition on spatial learning and spatial memory: a mini review based on animal studies

    , Article Molecular Biology Reports ; Volume 49, Issue 2 , 2022 , Pages 1551-1563 ; 03014851 (ISSN) Alemohammad, S.M.A ; Noori, S. M. R ; Samarbafzadeh, E ; Noori, S. M. A ; Sharif University of Technology
    Springer Science and Business Media B.V  2022
    Abstract
    The gut-brain axis is believed to constitute a bidirectional communication mechanism that affects both mental and digestive processes. Recently, the role of the gut microbiota in cognitive performance has been the focus of much research. In this paper, we discuss the effects of gut microbiota and nutrition on spatial memory and learning. Studies have shown the influence of diet on cognitive capabilities such as spatial learning and memory. It has been reported that a high-fat diet can alter gut microbiota which subsequently leads to changes in spatial learning and memory. Some microorganisms in the gut that can significantly affect spatial learning and memory are Akkermansia muciniphila,... 

    Modeling of Major Depression by Using Computational Intelligence

    , M.Sc. Thesis Sharif University of Technology Darvish, Setareh (Author) ; Seifipour, Navid (Supervisor)
    Abstract
    Mental disorders are very common nowadays and affect a person’s everyday life, as well as the lives of other people around him/her. According to the World Health Organization, major depressive disorder (MDD) is considered as the fourth main cause of death and premature weakness in the whole world. Information Technology (IT) could be used to diagnose the people who are affected by the mental disorders as well as reduce their effects. As clinical decision making inherently requires reasoning under uncertainty, fuzzy logic is a suitable technique for dealing with this partial evidence. The fuzzy logic is the science of reasoning; thinking and inference that recognizes and uses the real world... 

    Bundle pricing and inventory decisions on complementary products

    , Article Operational Research ; 2017 , Pages 1-25 ; 11092858 (ISSN) Taleizadeh, A. A ; Babaei, M. S ; Akhavan Niaki, S. T ; Noori daryan, M ; Sharif University of Technology
    Springer Verlag  2017
    Abstract
    Selling correlated products faces the sellers with the cross-selling, which is a key factor in managing revenue and costs of the sellers. Cross-selling is a phenomenon which happens when the demands of products are correlated so that the demand for one of the correlated products automatically initiates demand of another. In these cases, different selling tactics such as bundling, tying, mixed bundling, etc. are applied to sell the items. In this paper, an integrated pricing-inventory model for two complementary products under three selling strategies is developed. In the first model, it is assumed that the seller sells the products separately while those are packed and sold as bundling in... 

    Bundle pricing and inventory decisions on complementary products

    , Article Operational Research ; Volume 20, Issue 2 , 2020 , Pages 517-541 Taleizadeh, A. A ; Babaei, M. S ; Akhavan Niaki, S. T ; Noori daryan, M ; Sharif University of Technology
    Springer  2020
    Abstract
    Selling correlated products faces the sellers with the cross-selling, which is a key factor in managing revenue and costs of the sellers. Cross-selling is a phenomenon which happens when the demands of products are correlated so that the demand for one of the correlated products automatically initiates demand of another. In these cases, different selling tactics such as bundling, tying, mixed bundling, etc. are applied to sell the items. In this paper, an integrated pricing-inventory model for two complementary products under three selling strategies is developed. In the first model, it is assumed that the seller sells the products separately while those are packed and sold as bundling in... 

    Principal component analysis using constructive neural networks

    , Article 2007 International Joint Conference on Neural Networks, IJCNN 2007, Orlando, FL, 12 August 2007 through 17 August 2007 ; 2007 , Pages 558-562 ; 10987576 (ISSN) ; 142441380X (ISBN); 9781424413805 (ISBN) Makki, B ; Seyedsalehi, S. A ; Noori Hosseini, M ; Sadati, N ; Sharif University of Technology
    2007
    Abstract
    In this paper, a new constructive auto-associative neural network performing nonlinear principal component analysis is presented. The developed constructive neural network maps the data nonlinearly into its principal components and preserves the order of principal components at the same time. The weights of the neural network are trained by a combination of Back Propagation (BP) and Genetic Algorithm (GA) which accelerates the training process by preventing local minima. The performance of the proposed method was evaluated by means of two different experiments that illustrated its efficiency. ©2007 IEEE  

    Harmonic class loading for damage identification in beams using wavelet analysis

    , Article Structural Health Monitoring ; Volume 6, Issue 1 , 2007 , Pages 67-80 ; 14759217 (ISSN) Khatam, H ; Golafshani, A. A ; Beheshti Aval, S. B ; Noori, M ; Sharif University of Technology
    2007
    Abstract
    The harmonic displacement response of a beam is utilized as the input signal function in wavelet analysis. Sudden changes in the spatial variation of transformed response identify the location of damages and defects. The damage incurred causes a change in the stiffness or mass of the beam. This causes a localized singularity which can be identified by a wavelet analysis of the displacement response. In this article, it is shown that using harmonic response is superior to the static deflection response and this approach is more effective in the presence of noise and more sensitive to the versatility of the applied harmonic loads. © 2007 SAGE Publications