Loading...
Search for: kazemi-namin--matin
0.119 seconds

    Assessment and Optimization of Exergoeconomic Cost of Energy Carrier Products of Multi-product Plants

    , M.Sc. Thesis Sharif University of Technology Kazemi Namin, Matin (Author) ; Khajehpour, Hossein (Supervisor)
    Abstract
    The present study deals with the exergoeconomic analysis in a petrochemical industry utility supply complex. Discovering the levelized cost of products based on the economic valuation of exergy destruction in the system in a way that helps to continue the life of utility plsnts, and offers the right price to customers; It is of great importance. In this research, using exergy analysis with the help of EES software, the thermodynamic characteristics of the studied units are calculated. By simultaneously solving the exergy cost balance equations of the units based on the thermodynamic and economic data of the system, the levelized cost of products and other exergeoeconomic characteristics are... 

    An EWA framework for the probabilistic-based structural integrity assessment of offshore platforms

    , Article Marine Structures ; Volume 59 , 2018 , Pages 60-79 ; 09518339 (ISSN) Zeinoddini, M ; Yaghubi Namin, Y ; Matin Nikoo, H ; Estekanchi, H ; Kimiaei, M ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Endurance Wave Analysis (EWA) is a novel, simple, economical but yet reliable method for the integrity assessment of offshore platforms against extreme irregular waves. The current paper presents a framework for the probabilistic assessment of offshore platforms based on EWA. The stochastic nature and the uncertainties in the ocean waves were taken into account by introducing a set of artificial, random and gradually intensifying wave trains. To simulate other uncertainties in the loading and the strength of the structure a Latin Hypercube Sampling (LHS) type of Monte Carlo Simulation (MCS) was employed. The EWA methodology and different structural performance criteria were considered. The... 

    Cost Based Comparing of Different Retrofitting Strategies for URM Schools and Choosing the Best Possible One

    , M.Sc. Thesis Sharif University of Technology Mirzai Matin, Danial (Author) ; Kazemi, Mohammad Taghi (Supervisor)
    Abstract
    Among different natural disasters, earthquake has always been known as one of the most effective ones on human lives, and this is only because we still cannot predict the exact time and place of its happening. So, giving special attention to the methods which can omit or minimize the damages of this natural event is needed for controlling the loss in the event of an earthquake. On the other hand schools are known as places which are full of people from younger ages for at least half of each day, and they are considered to be not well educated about how to react in an earthquake in comparison to older people and also considered vulnerable at the time of this natural event. According to what... 

    Integration of system-level IP cores in object-oriented design methodologies

    , Article 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, 9 March 2008 through 11 March 2008 ; Volume 6 CCIS , 2008 , Pages 106-114 ; 18650929 (ISSN); 3540899847 (ISBN); 9783540899846 (ISBN) Hashemi Namin, S ; Hessabi, S ; Sharif University of Technology
    2008
    Abstract
    IP core reuse is popular for designing and implementing complex systems, because reuse of already provided blocks decreases design time and so diminishes productivity gap. Moreover, as system-level design methodologies and tools emerge for embedded system design, it is useful to have a shift from Register Transfer Level to system-level models for IP cores employed for implementation of hardware parts of the system. In this paper, we propose a C++ model for hardware IP cores that can be adopted as a standard for delivering IPs at a high level of abstraction, suitable for object-oriented system-level design methodologies. Next, we extend our system-level synthesizer in order to integrate IP... 

    Assessment of Iran academic environmental education needs with climate change approach

    , Article International Journal of Environmental Science and Technology ; 2020 Ahmadi, A ; Abbaspour, M ; Afkhami Namin, N ; Sharif University of Technology
    Springer  2020
    Abstract
    The main goal of environmental education program developers is to train resourceful experts to work, study and solve environmental issues. Thus, it is essential to conform educational knowledge and skills according to countries needs along with scientific and technological progress. The present study aimed to assess needs of educational programs by considering climate change issues in Iranian Universities. Therefore, needs of higher education sector have been identified and some recommendations were given in line with objectives of training programs. The study applied random selection method to determine a number of environmental professionals to answer the designed questioner. Delphi method... 

    Assessment of Iran academic environmental education needs with climate change approach

    , Article International Journal of Environmental Science and Technology ; Volume 18, Issue 1 , 2021 , Pages 49-56 ; 17351472 (ISSN) Ahmadi, A ; Abbaspour, M ; Afkhami Namin, N ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    The main goal of environmental education program developers is to train resourceful experts to work, study and solve environmental issues. Thus, it is essential to conform educational knowledge and skills according to countries needs along with scientific and technological progress. The present study aimed to assess needs of educational programs by considering climate change issues in Iranian Universities. Therefore, needs of higher education sector have been identified and some recommendations were given in line with objectives of training programs. The study applied random selection method to determine a number of environmental professionals to answer the designed questioner. Delphi method... 

    Assessment of Iran academic environmental education needs with climate change approach

    , Article International Journal of Environmental Science and Technology ; Volume 18, Issue 1 , 2021 , Pages 49-56 ; 17351472 (ISSN) Ahmadi, A ; Abbaspour, M ; Afkhami Namin, N ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    The main goal of environmental education program developers is to train resourceful experts to work, study and solve environmental issues. Thus, it is essential to conform educational knowledge and skills according to countries needs along with scientific and technological progress. The present study aimed to assess needs of educational programs by considering climate change issues in Iranian Universities. Therefore, needs of higher education sector have been identified and some recommendations were given in line with objectives of training programs. The study applied random selection method to determine a number of environmental professionals to answer the designed questioner. Delphi method... 

    Design and Hardware Implementation of Optical Character Recognition

    , M.Sc. Thesis Sharif University of Technology Dezfuli, Sina (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    The objective of OCR systems is to retrieve machine-encoded text from a raster image. Despite the abundance of powerful OCR algorithms for English, there are not many for Farsi. Our proposed algorithm is comprised of pre-processing, line detection, sub-word detection and segmentation, feature extraction and classification. Furthermore, hardware implementation and acceleration of this system on a GPGPU is presented. This algorithm was tested on 5 fonts including Titr, Lotus,Yekan, Koodak and Nazanin and an average accuracy above 90% was achieved  

    Design and Efficient Hardware Implementation of Spiking Neural Networks on FPGA

    , M.Sc. Thesis Sharif University of Technology Amirshahi, Alireza (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    Spiking Neural Networks(SNN) are networks which are consisted of layers of neurons, like other typical artificial neural networks. The main difference between SNN and other neural networks is the type of data transportation among neurons which is done by spikes. Spiking neural networks and their models are considered as the nearest networks and neurons to animals’ nervous systems. In aspects of hardware implementation, the type of data transportation in SNN causes them to be ultra-low power. So, implementation of these networks on chips like FPGA and also usage of SNN in applications with high processing load have startling germination, recently. In this work, we have tried to propose some... 

    Disentangled Representation Learning for Automated Clothe Image Synthesis on the Body

    , M.Sc. Thesis Sharif University of Technology Johary, Iman (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    There have been many works on generative networks and image generation in the past few years, but the problem with this work is that there is no control over the generated images. The goal of disentangled image synthesis is to generate new images with specific detail and have control over the generated images. Image-based virtual try-on aims to synthesize the customer image with an in-shop clothes image to acquire seamless and natural try-on results, which have attracted increasing attention. The main procedures of image-based virtual try-on usually consist of clothes image generation and try-on image synthesis. In contrast, prior arts cannot guarantee satisfying clothes results when facing... 

    Efficient Implementation of Compressed Deep Convolutional Neural Networks

    , M.Sc. Thesis Sharif University of Technology Afshar, Mohammad (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    Many mobile applications running on smartphones, wearable devices, tiny autonomous robots and IoT devices would potentially benefit from the accuracy and scalability of deep CNN-based machine learning algorithms. However,performance and energy consumption limitations make the execution of such computationally intensive algorithms on embedded mobile devices prohibitive.We present a GPU-accelerated engine, dubbed mCNN, for execution of trained deep CNNs on mobile platforms. The proposed solution takes the trained model as input and automatically optimizes its parallel implementation on the target mobile platform for efficient use of hardware resources such as mobile GPU threads and SIMD units.... 

    Parallel Implementation of Telecommunication Decodings in Real-time

    , M.Sc. Thesis Sharif University of Technology Jafarzadeh, Ali (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    Many chip manufacturers have recently introduced high-performance deep-learning hardware accelerators. In modern GPUs, programmable tensor cores accelerate the heavy operations involved in deep neural networks. This paper presents a novel solution to re-purpose tensor cores in modern GPUs for high-throughput implementation of turbo decoders. Turbo codes closely approach Shannon’s limit on channel capacity, and are widely used in many state-of-the-art wireless systems including satellite communications and mobile communications. Experimental evaluations show that the proposed solution achieves about 1.2 Gbps throughput, which is higher compared to previous GPU-accelerated solutions  

    Design and Implementation of GPU-based MLOps Cloud Platform

    , M.Sc. Thesis Sharif University of Technology Yarian, Abolfazl (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    In the current era, artificial intelligence and machine learning have become vital and widely used technologies across various industries. These technologies enable companies and organizations to optimize processes, predict trends, and uncover hidden patterns in data with high accuracy and speed. However, fully leveraging the capabilities of AI and ML requires the effective and efficient deployment of ML models in production environments. MLOps, a combination of DevOps and ML concepts, aids in managing the lifecycle of ML models from development to deployment and maintenance. In this research, due to international sanctions and limited access to external services such as Google Vertex AI,... 

    Liquid soap film generates electricity: a suspended liquid film rotating in an external electric field as an electric generator

    , Article Microfluidics and Nanofluidics ; Vol. 18, issue. 1 , Apr , 2014 , pp. 141-147 ; ISSN:16134982 Amjadi, A ; Feiz, M. S ; Namin, R. M ; Sharif University of Technology
    2014
    Abstract
    We have observed that a rotating liquid soap film generates electricity when placed between two non-contact electrodes with a sufficiently large potential difference. In our experiments, suspended liquid film (water + soap film) is formed on the surface of a circular frame, which is forced to rotate in the x−y horizontal plane by a motor. This system is located at the center of two capacitor-like vertical plates to apply an external electric voltage difference in the x-direction. The produced electric current is collected from the liquid film using two conducting electrodes that are separated in the y-direction. We previously reported that a liquid film in an external electric field rotates... 

    Viterbi Decoder Implementation on GPGPU

    , M.Sc. Thesis Sharif University of Technology Mohammadidoost, Alireza (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    In this project, a method is emoloyed to implement a Viterbi decoder on GPGPU. This method is based on combining all steps of the algorithm. This combination has some challenges that are related to differences between different steps of the algorithm. So in this project, some solutions are found to handle these challenges and a high-throughput Viterbi decoder is acheived  

    Performance assessment and optimization of a humidification dehumidification (HDH) system driven by absorption-compression heat pump cycle

    , Article Desalination ; Volume 447 , 2018 , Pages 84-101 ; 00119164 (ISSN) Rostamzadeh, H ; Shekari Namin, A ; Ghaebi, H ; Amidpour, M ; Sharif University of Technology
    Elsevier B.V  2018
    Abstract
    Feasibility investigation of a humidification dehumidification (HDH) desalination system driven by an absorption-compression heat pump cycle (ACHPC) is carried out in this paper. The proposed hybrid desalination system uses both heating capacity of the discharged brine as a waste heat for the ACHPC and mechanical power of the ACHPC for the HDH system. The system's performance is investigated under different optimal design modes, using genetic algorithm (GA) as the most robust tool for optimization. A steady-state mathematical model based on the mass, energy, exergy, and exergoeconomic balance equations for components of the proposed system is developed and the predicted results are validated... 

    A novel multigeneration system driven by a hybrid biogas-geothermal heat source, Part I: Thermodynamic modeling

    , Article Energy Conversion and Management ; Volume 177 , 2018 , Pages 535-562 ; 01968904 (ISSN) Rostamzadeh, H ; Ghavami Gargari, S ; Shekari Namin, A ; Ghaebi, H ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Hybrid renewable energy heat sources provide more sustainable energy resources with high maintenance for high-efficient power plants. Multigeneration systems driven by a hybrid renewable source are proved as cutting-edge technologies in recent studies. In this study, a novel multigeneration system driven by a hybrid biogas-geothermal heat source is proposed and simulated. To demonstrate the feasibility of the proposed multigeneration system, first and second laws analysis are employed as the most effective tools for performance assessment of the systems. It is found that the proposed multigeneration system can produce overall heating capacity, overall cooling capacity, net output power,... 

    A novel multigeneration system driven by a hybrid biogas-geothermal heat source, Part II: Multi-criteria optimization

    , Article Energy Conversion and Management ; Volume 180 , 2019 , Pages 859-888 ; 01968904 (ISSN) Rostamzadeh, H ; Gargari, S. G ; Shekari Namin, A ; Ghaebi, H ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    Hybridization of biogas and geothermal energies for power plants can present a promising way to resolve drawbacks of each individual heat source from economic viewpoint, especially when low-temperature geothermal heat source is posited. Concerning this aspect of hybrid renewable heat sources, a novel hybrid biogas-geothermal multigeneration system was proposed in the first part of our study, which was modeled under privilege of thermodynamic laws. In continuation of our previous study, the current study is performed to investigate economic, environmental, and enviroeconomical aspects of the introduced system. Furthermore, single and multi-criteria optimizations of this integrated system are... 

    Design and Efficient Implementation of Deep Learning Algorithm for ECG Classification

    , M.Sc. Thesis Sharif University of Technology Oveisi, Mohammad Hossein (Author) ; Hashemi, Matin (Supervisor)
    Abstract
    Cardiovascular diseases are the leading cause of death globally so early diagnosis of them is important. Many researchers focused on this field. First signs of cardiac diseases appear in the electrocardiogram signal. This signal represents the electrical activity of the heart so it’s primarily used for the detection and classification of cardiac arrhythmias. Permanent monitoring of this signal is not possible for specialists so we should do this by means of Artificial Intelligence. In this thesis, we use recurrent neural networks to classify electrocardiogram’s arrhythmias. This deep learning method, use two sources of data to learn from. The first part of data is global for everyone and the... 

    Applying flow zone index approach and artificial neural networks modeling technique for characterizing a heterogeneous carbonate reservoir using dynamic data: Case Study of an Iranian reservoir

    , Article Society of Petroleum Engineers - Trinidad and Tobago Energy Resources Conference 2010, SPE TT 2010, 27 June 2010 through 30 June 2010 ; Volume 2 , June , 2010 , Pages 677-690 ; 9781617388859 (ISBN) Shahvar, M. B ; Kharrat, R ; Matin, M ; Sharif University of Technology
    2010
    Abstract
    Although static characterization of reservoirs is an inevitable part of any reservoir studies, the most robust models of the reservoirs can be obtained through integrating static and dynamic data. The following study which is done in a heterogeneous carbonate reservoir utilizes the capillary pressure and relative permeability data to verify the task of static rock typing and investigate the role of hydraulic units in capillary pressure and relative permeability modeling. For this purpose, at first, various rock typing techniques are applied to the field data to seek the best method which has the most consistency with capillary pressure curves. Using Desouky method which is based on hydraulic...