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    Analysis and Design of Single-cell RNA Sequencing Data Normalization Algorithms

    , M.Sc. Thesis Sharif University of Technology Mohseni, Sepideh (Author) ; Hossein Khalaj, Babak (Supervisor)
    Abstract
    Single Cell RNA sequencing (scRNA-seq) data provides more information about gene expression at cellular level. However, because of noise and sparsity that exist in scRNA-seq data, analysis of this data has faced to obstacles. Global normalization approach can not resolve correctly missing data that come from technical variability. So this approach cause emerging incorrect bias and dishonest conclusion about cell type. In this study we review some models for scRNA-seq data imputation,explain a new method for filtering genes and clustering data and use matrix completion algorithm for imputation data  

    Joint Model of Teleshopping Choice and Frequency

    , M.Sc. Thesis Sharif University of Technology Mohseni Hossein Abadi, Ghazaleh (Author) ; Kermanshah, Mohammad (Supervisor)
    Abstract
    Rapid growth of technology and the increase in availability of fast communication means caused transportation planners to pay attention to solutions of demand management with an aproach to information technology. Replacement of traditional shopping with internet shopping can be seen as a suitable solution to reduce traffic and polution. Purpose of this research is to probe teleshopping choice and the frequency of doing that, simultaneously, using copula model as the most common aproach of joint models in recent years. In this research, the binary logit model is used to build the model for teleshopping choice and the order logit model is used to build the frequency model. The data sample is... 

    VoIP users’ Quality of Experience (QoE)Evaluation

    , Ph.D. Dissertation Sharif University of Technology Hesam Mohseni, Abdorreza (Author) ; Jahangir, Amir Hossein (Supervisor)
    Abstract
    Quality of Experience (QoE) indicates the overall quality of one service such as Voice over IP (VoIP) from users' point of view by considering several systems, human, and contextual factors. QoE measurement and prediction are more challenging than Quality of Service (QoS) which is only related to network parameters. There exist various objective and subjective methods for QoE prediction. This research investigates various features affecting QoE by proposing a comprehensive subjective evaluation by employing a large number of users. We show that many unconsidered factors including speaker specifications and signal properties, such as signal-to-noise ratio (SNR), can affect QoE so that the SNR... 

    Investigation of Highly Concentrated Phenolic Wastewater Treatment in a Membrane Biological Reactor (MBR), and Evaluation of Furfural upon Phenol Biodegradation by an Acclimated Activated Sludge

    , M.Sc. Thesis Sharif University of Technology Mohseni, Mojtaba (Author) ; Borghei, Mehdi (Supervisor)
    Abstract
    Phenolic compounds are hazardous pollutants that are released into environment through wastewater discharges from variety of industries. Although good biodegradability has been reported at low concentrations, but at higher concentrations phenols are known to be antibacterial. In this study the Membrane Biological Reactor (MBR) with submerged hallow fiber membrane was operated at 25±2 ºC and pH=7.5±0.5 to treat a synthetic wastewater containing high phenol concentration (up to 5.9 g/l). Removal efficiency of phenol and COD were evaluated at four various “Hydraulic Retention Times” (HRT) of 24, 12, 8 and 4 hours. To test the tolerance of the bioreactor to phenol concentration various loading... 

    Robust Optimization for Simulated Systems Using Risk Management and Kriging

    , M.Sc. Thesis Sharif University of Technology Mohseni, Ali (Author) ; Mahlooji, Hashem (Supervisor)
    Abstract
    Many simulation optimization problems are defined in random settings and their inputs have uncertainty. Therefore, in defining an optimal solution for these problems, uncertainties should be taken into account. The primary way of dealing with this , is Robust Optimization which finds solution immune to these changing settings. Aiming at finding a new approach for simulation optimization problems, this study investigates these uncertainties and robust methods. In the optimization problem, the goal and constraints are considered with separate risk measures and a related problem is defined as follows: Minimizing the weighted sum of all risks subject to the problem constraints. To solve the... 

    Role of Spirit in the Formation of Knowledge in Terms of Transcendent Wisdom

    , M.Sc. Thesis Sharif University of Technology Mohseni, Hossein (Author) ; Hosseini, Hassan (Supervisor)
    Abstract
    One of issues of human in this time is questions about epistemology. Human sometimes faced with this qustion that "Is it any knowledge for human being". Sometime he or she answers this question: yes and search for any knowledge around him or her. In the context of philosophy of science these question are very imortant. In philosophy of science one of major question is how many of factors in science is subjective and how many is objective? It is obvious that one of solution to answer this question is investigation of factors that construct the knowledege. Furthermore in this thesis I try to answer that question in context of Hikmat' Motealieh. In this context all of factors that involved in... 

    Designing and Implementing a Cluster-based Energy-aware Routing Algorithm for Wireless Sensor Network

    , M.Sc. Thesis Sharif University of Technology Mohseni, Mina (Author) ; Miremadi, Ghasem (Supervisor)
    Abstract
    Wireless Sensor Networks (WSNs) consist of sensor nodes that are connected to each other and are widely used in many applications to acquire and process information. WSN nodes are battery powered, therefore energy management is a key factor for long live network. Node radio transceiver unit uses the most part of energy resource of the node and as a result limits the network lifetime. One way to prolong lifetime of network is to utilize routing protocols to manage energy consumption. To have an energy efficient protocol, we can apply cluster organization on the network, where sensor nodes are partitioned into groups called cluster. Then, the whole cluster data is sent through Cluster Head... 

    Tensor-based face representation and recognition using multi-linear subspace analysis

    , Article 2009 14th International CSI Computer Conference, CSICC 2009, 20 October 2009 through 21 October 2009, Tehran ; 2009 , Pages 658-663 ; 9781424442621 (ISBN) Mohseni, H ; Kasaei, S ; Sharif University of Technology
    2009
    Abstract
    Discriminative subspace analysis is a popular approach for a variety of applications. There is a growing interest in subspace learning techniques for face recognition. Principal component analysis (PCA) and eigenfaces are two important subspace analysis methods have been widely applied in a variety of areas. However, the excessive dimension of data space often causes the curse of dimensionality dilemma, expensive computational cost, and sometimes the singularity problem. In this paper, a new supervised discriminative subspace analysis is presented by encoding face image as a high order general tensor. As face space can be considered as a nonlinear submanifold embedded in the tensor space, a... 

    Fault diagnosis in robot manipulators in presence of modeling uncertainty and sensor noise

    , Article Proceedings of the IEEE International Conference on Control Applications, 8 July 2009 through 10 July 2009, Saint Petersburg ; 2009 , Pages 1750-1755 ; 9781424446025 (ISBN) Mohseni, S ; Namvar, M ; Sharif University of Technology
    2009
    Abstract
    In this paper, we introduce a new approach to fault detection and isolation for robot manipulators. Our technique is based on using a new simplified Euler-Lagrange (EL) equation that reduces complexity of the proposed fault detection method. The proposed approach isolates the faults and is capable of handling the uncertainty in manipulator gravity vector. It is shown that the effect of uncalibrated torque sensor measurement is asymptotically rejected in the detection process. A simulation example is presented to illustrate the results. © 2009 IEEE  

    Radiative Mass Correction in Supersymmetric Field Theories and its Implications for Supersymmetry Phenomenology

    , M.Sc. Thesis Sharif University of Technology Mohseni, Amineh (Author) ; Torabian, Mahdi (Supervisor)
    Abstract
    During years, supersymmetry has been a candidate for resolution of Higgs mass fine-tuning problem that is quadratic dependence of scalar mass radiative correction to UV-physics. So, supersymmetry phenomenology is of great importance. As accelerators have reached energy of 13 TeV in recent years and sparticles have not yet been observed, it is important to have a theory in hand, describing SUSY breaking dynamics with scale of SUSY breaking above the energies currently accessible to accelerators. As a result of mass-sum-rule constraint which holds in theories with spontaneous SUSY breaking at tree level and leads to light sparticles and even tachyonic directions, there are currently no... 

    Automatic localization of cephalometric landmarks

    , Article ISSPIT 2007 - 2007 IEEE International Symposium on Signal Processing and Information Technology, Cairo, 15 December 2007 through 18 December 2007 ; 2007 , Pages 396-401 ; 9781424418350 (ISBN) Mohseni, H ; Kasaei, S ; Sharif University of Technology
    2007
    Abstract
    Cephalometric analysis has an important role in diagnosis and treatment of dental disharmonies. In this paper, we propose an efficient, fast, and automatic method to localize cephalometric landmarks on digitized x-ray images. The proposed algorithm uses the information of the marked landmarks on a reference normal cephalometry image as the prior knowledge. In the first step of the proposed method, the image is automatically divided into several regions and three main control points are located on it. These are then matched to their corresponding points on the reference image to form an affine transform matrix that describes how other points on the reference image should be mapped to the... 

    Human Whole-Body Static 3D Posture Prediction in One- and Two-Handed Lifting Tasks from Different Load Positions using Machine Learning

    , M.Sc. Thesis Sharif University of Technology Mohseni, Mahdi (Author) ; Arjmand, Navid (Supervisor)
    Abstract
    Biomechanical models require body posture to evaluate the risk of musculoskeletal injuries during daily/occupational activities like manual material handling (MMH). The procedure to measure body posture via motion-analysis techniques is complex, time-consuming, and limited to equipped laboratories. This study aims to develop an easy-to-use yet accurate model that predict human whole-body static posture (3D body coordinates and anatomical joint angles) during different MMH activities. Twenty healthy male right-handed individuals with body mass index between 18 and 26 performed 204 symmetric and asymmetric MMH activities. Each person reached (i.e., without any load in hands) the destinations... 

    Topology optimization for manufacturability of Additive Manufacturing based on Deep Learning and Generative Adversarial Network

    , M.Sc. Thesis Sharif University of Technology Mohseni, Maedeh (Author) ; Khodaygan, Saeed (Supervisor)
    Abstract
    In recent years, Additive Manufacturing has been extensively used by various industries. These manufacturing processes produce components in a layer-by-layer manner; therefore, they do not impose any geometric constrains to engineers and provide designers with the freedom to design components. Nowadays, one of the primary goals of all industries is to utilize as few raw materials as possible; this way they can deal with the shortage of raw materials and improve their efficiency. Consequently, they implement topology optimization algorithms to design and produce their components. However, topology optimization algorithms result in complicated geometries that can only be fabricated by AM.... 

    Higgs in nilpotent supergravity: vacuum energy and festina lente

    , Article Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics ; Volume 844 , 2023 ; 03702693 (ISSN) Mohseni, A ; Torabian, M ; Sharif University of Technology
    Elsevier B.V  2023
    Abstract
    In this note we study supergravity models with constrained superfields. We construct a supergravity framework in which all (super)symmetry breaking dynamics happen in vacuum with naturally (or otherwise asymptotically) vanishing energy. Supersymmetry is generically broken in multiple sectors each of them is parametrized by a nilpotent goldstino superfield. Dynamical fields (the Higgs, inflaton, etc) below the supersymmetry breaking scale are constrained superfields of various types. In this framework, there is a dominant supersymmetry breaking sector which uplifts the potential to zero value. Other sources of supersymmetry breaking have (asymptotically) vanishing contribution to vacuum... 

    Highly conductive self-electrical stimuli core-shell conduit based on PVDF-chitosan–gelatin filled with in-situ gellan gum as a possible candidate for nerve regeneration: a rheological, electrical, and structural study

    , Article Applied Nanoscience (Switzerland) ; Volume 11, Issue 8 , 2021 , Pages 2199-2213 ; 21905509 (ISSN) Mohseni, M ; Ramazani Saadatabadi, A ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    In the context of peripheral nerve injuries treatment, self-electrical stimuli nerve guidance conduit is a promising technique. To fabricate such structures, PVDF-chitosan–gelatin was considered for the outside walls of conduit and gellan gum containing conductive polyaniline-graphene (PAG) nanocomposite particles in the middle. PVDF-chitosan–gelatin nanofibers were prepared using the dual-electrospinning method and highly conductive binary-doped polyaniline-graphene was synthesized by chemical oxidative polymerization in the presence of aniline and sodium dodecyl sulfate. The morphology and chemical structure of nanofibers and PAG were characterized using SEM and FTIR analyses. The... 

    Temperature control of styrene bulk polymerization in a tubular reactor

    , Article CHISA 2006 - 17th International Congress of Chemical and Process Engineering, Prague, 27 August 2006 through 31 August 2006 ; 2006 ; 8086059456 (ISBN); 9788086059457 (ISBN) Ghafoor Mohseni, P ; Shahrokhi, M ; Sharif University of Technology
    2006
    Abstract
    Due to advantages of tubular polymerization reactors, a tubular reactor was used as the postpolymerizer for thermal bulk polymerization of styrene. By solving the mathematical model, static and dynamic simulations were carried out to study the reactor's behavior. In order to have a desired product regarding the monomer conversion and polydispersity at the reactor outlet, a specific temperature profile must be kept along the reactor's length. Based on the desired profile and using the system model, a trajectory for the jacket temperature was obtained. To apply the desired jacket temperature, the jacket is divided into three zones. The set-point of each zone has been obtained by discretizing... 

    Dynamic Pricing Policies in Presence of Strategic Customer Behavior

    , M.Sc. Thesis Sharif University of Technology Mohseni, Mahdi (Author) ; Modarres Yazdi, Mohammad (Supervisor)
    Abstract
    The problem of developing optimal pricing and inventory allocation strategies has been extensively studied over the past two decades. However, most of the literature in this area assumes that customers are myopic price-takers, and do not respond to firm pricing strategically. In this study, we present review on a class of problems that consider a firm selling a finite number of items over a finite time horizon facing stochastic demand and a group of customers who act strategically by timing their purchases. We first review the optimal purchasing policy for the customers, and pricing policy for the firm that is the best response policy to the customer’s strategic behavior. Then we present a... 

    Face Recognition in Subspaces Based on Nonlinear Dimension Reduction

    , Ph.D. Dissertation Sharif University of Technology Mohseni Takallou, Hadis (Author) ; Kasaei, Shohreh (Supervisor)
    Abstract
    In many applications in human society, there is a need for identity recognition of people.Different methods have been developed for this purpose while using the biometrics is one of the major interests. The biometrics measure the unique physiological, anatomical and behavioural characteristics of people. Among them, face is an interesting biometric which have important advantages over other biometrics and face recognition is known as the most common method that people utilize to recognize each other. However, face recognition suffers from factors such as changes in head pose, illumination and face expression which influence the efficiency of recognition methods. The core of many recent... 

    Integrative Utilization of Microenvironments, Biomaterials and Computational Techniques for Advanced Tissue Engineering

    , Article Journal of Biotechnology ; Volume 212 , 2015 , Pages 71-89 ; 01681656 (ISSN) Shamloo, A ; Mohammadaliha, N ; Mohseni, M ; Sharif University of Technology
    Elsevier  2015
    Abstract
    This review aims to propose the integrative implementation of microfluidic devices, biomaterials, and computational methods that can lead to a significant progress in tissue engineering and regenerative medicine researches. Simultaneous implementation of multiple techniques can be very helpful in addressing biological processes. Providing controllable biochemical and biomechanical cues within artificial extracellular matrix similar to in vivo conditions is crucial in tissue engineering and regenerative medicine researches. Microfluidic devices provide precise spatial and temporal control over cell microenvironment. Moreover, generation of accurate and controllable spatial and temporal... 

    Vortex Shedding Control behind Helicopter Rotor Blades, using Thin Oscillating Plates- Application to Helicopter Noise Reduction

    , M.Sc. Thesis Sharif University of Technology Mohseni, Mohammad Hassan (Author) ; Javadi, Khodayar (Supervisor)
    Abstract
    The interaction of the vortices and helicopter’s blades is the most significant source of generating the main rotor’s noise, especially in landing and rising. The kind of this noise is broadband and it is produced because of establishing the vortices behind the forward blade, their interaction with backward blade, changing their structures and creating turbulency loading. The known method for modeling of the interaction of the vortices structures and solid surfaces is the simple compounding the rod and airfoil. In this project, by using this method, the noise of the interaction of vortex and blade is modeled in the Reynolds number of 48000 with LES and FW-H Analogy as a hibrid method in...