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    The effect of cysteine on electrodeposition of gold nanoparticle

    , Article Materials Science and Engineering B: Solid-State Materials for Advanced Technology ; Volume 176, Issue 16 , 2011 , Pages 1307-1312 ; 09215107 (ISSN) Dolati, A ; Imanieh, I ; Salehi, F ; Farahani, M ; Sharif University of Technology
    2011
    Abstract
    The most applications of gold nanoparticles are in the photo-electronical accessories and bio-chemical sensors. Chloride solution with cysteine additive was used as electrolyte in gold nanoparticles electrodeposition. The nucleation and growing mechanism were studied by electrochemical techniques such as cyclic voltammetry and chronoamperometry, in order to obtain a suitable nano structure. The deposition mechanism was determined as instantaneous nucleation and the dimension of particles was controlled in nanometric particle size range. Atomic Force Microscope was used to evaluate the effect of cysteine on the morphology and topography of gold nanoparticles. Finally the catalytic property of... 

    Application of Artificial Intelligence for Predicting CO2 Emission Using Weighted Multi-Task Learning

    , Article Energies ; Volume 16, Issue 16 , 2023 ; 19961073 (ISSN) Talaei, M ; Astaneh, M ; Ghiasabadi Farahani, E ; Golzar, F ; Sharif University of Technology
    Multidisciplinary Digital Publishing Institute (MDPI)  2023
    Abstract
    Carbon emissions significantly contribute to global warming, amplifying the occurrence of extreme weather events and negatively impacting the overall environmental transformation. In line with the global commitment to combat climate change through the Paris Agreement (COP21), the European Union (EU) has formulated strategies aimed at achieving climate neutrality by 2050. To achieve this goal, EU member states focus on developing long-term national strategies (NLTSs) and implementing local plans to reduce greenhouse gas (GHG) emissions in alignment with EU objectives. This study focuses on the case of Sweden and aims to introduce a comprehensive data-driven framework that predicts CO2... 

    Robust fuzzy controller design for respiratory systems

    , Article 2024 10th International Conference on Control, Instrumentation and Automation, ICCIA 2024 ; 2024 ; 979-833150997-2 (ISBN) Hossein, N. A ; Shams Shamsabad Farahani, S ; Barzamini, M ; Dorrimoghaddam, F ; Arabian, M ; Barzamini, R
    IEEE  2024
    Abstract
    A respiratory system combines a blower-hose-patient setup with a single lung system featuring nonlinear lung compliance. This paper explores the optimal design of resilient fuzzy control for such systems by integrating a fuzzy algorithm with a sliding mode control approach. The robust fuzzy controller, as proposed, effectively handles the system's dynamics and remains stable amidst nonlinear changes. It ensures airway flow and maintains peak pressure below critical levels despite uncertainties like hose leakage and varying respiratory effort. The findings show superior performance in reaction time, overshoot, and tracking errors compared to traditional methods. The control mechanism's... 

    Investigation into opportunities and challenges of cross-border electricity trade in Iran

    , Article Scientia Iranica ; Volume 30, Issue 3 E , 2023 , Pages 1159-1168 ; 10263098 (ISSN) Akhlaghi, M.M ; Abbasizade, F ; Alavijeh, A. S ; Hosseinalizadeh, R ; Farahani, M. M. A ; Sharif University of Technology
    Sharif University of Technology  2023
    Abstract
    Energy demand in Iran is increasing because of many reasons, for instance, low price, population and GDP growth. Its trend shows that this situation could not continue for many years, so it needs reviewing in energy policy in Iran. The aim of this paper is reviewing the whole energy system of Iran and its possible future and offering some policies for solving current and future problems. First of all, this study investigates the trend of growth of some parameters like GDP, electricity price, population, CO2 emission and electricity consumption in eight years. After that, by calculating the price of electricity generated in Iran under three different circumstances, this study is able to... 

    Towards IoT-enabled multimodal mental stress monitoring

    , Article 2020 International Conference on Omni-layer Intelligent Systems, COINS 2020, 31 August 2020 through 2 September 2020 ; 2020 Mozafari, M ; Firouzi, F ; Farahani, B ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Stress is a body's natural way of responding to any kind of demand or challenge that everyone experiences from time to time. Although short-Term stress typically does not impose a health burden, exposure to prolonged stress can lead to significant adverse physiological and behavioral changes. Coping with the impact of stress is a challenging task and in this context, stress assessment is essential in preventing detrimental long-Term effects. The public embracement of connected wearable Internet of Things (IoT) devices, as well as the proliferation of Artificial Intelligence (AI) and Machine Learning (ML) technologies, have generated new opportunities for personalized stress tracking and... 

    A proposed design method for supersonic inlet to improve performance parameters

    , Article Aerospace Science and Technology ; Volume 91 , 2019 , Pages 583-592 ; 12709638 (ISSN) Farahani, M ; Mahdavi, M. M ; Sharif University of Technology
    Elsevier Masson SAS  2019
    Abstract
    A new structure for the compression surfaces of a supersonic inlet is proposed which has improved the target performance parameter i.e. total pressure recovery ratio. This idea resulted in development of a new type of supersonic inlet, utilized four ramps and a cone simultaneously as the compression surfaces. A prototype of the proposed inlet has been designed for a free stream Mach number of 3 and its performance has been evaluated via numerical simulation for both design and off-design conditions. The performance of the newly designed inlet has been compared to the existing experimental data of two double-cone inlets. The acquired data are further compared with analytical calculations of... 

    Hierarchical event-triggered online charging management of time-varying network of electric vehicles based on cooperative game theory

    , Article Majlesi Journal of Electrical Engineering ; Volume 18, Issue 1 , 2024 , Pages 75-89 ; 2345377X (ISSN) Farahani, M. A ; Haeri, M ; Sharif University of Technology
    Majlesi Journal  2024
    Abstract
    This article reports on a method for detecting disconnection between electric vehicle parking lots during charge management and uncertainties and how to deal with these issues. In this study, each parking lots has an aggregator that can exchange information with other parking lot aggregators through a communication graph. A cyber-attack or communication failure may cause a problem in the connection between the aggregators and their information exchange. To detect the loss of contact between the aggregators or uncertainties, a method based on the mean field game is developed through a distributed consensus algorithm. Since the number of vehicles in every parking lot, power consumption and... 

    Decentralised event triggered receding horizon online charge management of electric vehicles

    , Article International Journal of Automation and Control ; Volume 18, Issue 5 , 2024 , Pages 537-555 ; 17407516 (ISSN) Farahani, M. A ; Haeri, M ; Sharif University of Technology
    2024
    Abstract
    In this work, energy management of home customers with electric vehicles and renewable resources is modelled in the form of multi-agent systems. The agent decisions affect the others and the mean field game theory could provide a good solution for decision-making and control in multi-agent systems with a large number of agents. Due to uncertainties in the number of cars, power consumption, and production, online optimisation process is proposed by using the receding horizon concept of predictive control. The main problem in such processes is the calculations each agent should perform every hour. Hence, an event-based optimisation is employed to reduce the computational load. The main... 

    Analytical evaluation of a new MAC algorithm for underwater wireless sensor networks

    , Article 2012 19th International Conference on Telecommunications, ICT 2012, 23 April 2012 through 25 April 2012, Jounieh ; 2012 ; 9781467307475 (ISBN) Farahani, N. K ; Hamidian, S ; Vahid, A ; Ashtiani, F ; Aref, M. R ; Sharif University of Technology
    IEEE  2012
    Abstract
    In this paper, an underwater wireless sensor network (UWSN) is modeled with the help of queueing theory in order to evaluate the maximum stable throughput of the network. To this end, a new scenario for multi-layer mobile UWSN is considered. Then, a new MAC algorithm comprised of random access scheme (like MACAW) and CDMA-based data transmission along with a simplified routing algorithm is proposed. In order to analyze the considered UWSN scenario, we propose two related queueing networks, one for modeling the wireless node mobility and the other for representing the process of multi-hop packet transmission according to considered MAC and routing algorithms. Finally, the maximum stable... 

    Applying elastic unfolding technique in nonlinear inverse finite element method for sheet forming modeling

    , Article Advanced Materials Research, 8 July 2011 through 11 July 2011 ; Volume 341-342 , July , 2012 , Pages 242-246 ; 10226680 (ISSN) ; 9783037852521 (ISBN) Farahani, M. K ; Assempour, A ; Sharif University of Technology
    2012
    Abstract
    A simplified efficient finite element method called the inverse approach (IA) has been developed to estimate initial blank and strain distribution in sheet metal forming. This algorithm is an inverse method since the position of points in final shape is known and their corresponding position in the initial blank should be determined. This approach deals with the geometric compatibility of finite elements, plastic deformation theory, and virtual work principle. This method often based on implicit static algorithms, sometimes causes convergence problems because of strong nonlinearities. This paper introduces an initial guess to speed up the convergence of Newton- Raphson solution. The... 

    Contribution of Iraqi and Syrian dust storms on particulate matter concentration during a dust storm episode in receptor cities: Case study of Tehran

    , Article Atmospheric Environment ; Volume 222 , 2020 Jalali Farahani, V ; Arhami, M ; Sharif University of Technology
    Elsevier Ltd  2020
    Abstract
    Frequent dust storms originated from Middle Eastern deserts impact major cities in Iran, including Tehran. Previous studies identified Iraqi and Syrian deserts as the main cross-border contributors to Tehran Particulate Matter (PM) levels. In this study, the contribution of Iraqi and Syrian dust storms to Tehran's PM10 and PM2.5 concentration were assessed during a dust storm episode. Initially, a dust storm event was identified through the statistical analysis of the recorded air pollution data at Tehran's monitoring stations and the visual inspection of the satellite images. A combination of CMAQ/WRF/SMOKE modeling systems was used to simulate PM concentrations from Tehran local sources... 

    Minimization of Non-repeatable Runout (NRRO) in High-Speed Spindle Bearings

    , Article SAE 2021 Automotive Technical Papers, WONLYAUTO 2021, 1 January 2021 ; Issue 2021 , 2021 ; 01487191 (ISSN) Farahani, M. R ; Khodaygan, S ; Sharif University of Technology
    SAE International  2021
    Abstract
    The production with high quality at the lowest production time can be a key means to success in the competitive environment of manufacturing companies. Therefore, in recent years, the need for extra precise and high-speed machine tools has been impressively increased in manufacturing applications. One of the main sources of errors in the motion of high-speed spindles is the occurrence of non-repetitive runouts (NRRO) in the bearing. The NRRO can be caused by some factors such as the form of balls, the waviness of rings, the number of balls, and the permutation of one or two balls in the ball bearing. In this paper, a Taguchi-based approach is proposed for the optimal design of high-speed... 

    A new look at tensile yielding in isotactic polypropylene: role of strain rate and thermal softening

    , Article Polymer Bulletin ; Volume 79, Issue 12 , 2022 , Pages 11157-11176 ; 01700839 (ISSN) Farahani, M. F ; Bagheri, R ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    Polypropylene (PP) is a semi-crystalline polymer with a very wide range of industrial applications. This is why its mechanical properties, including yielding, have been the subject of numerous studies. The current study has examined the influence of strain rate and thermal softening on yield stress and post yielding behavior of an isotactic PP. A two-process Ree and Eyring model and the heat equation in adiabatic deformation were coupled with a physical parameter described as the temperature sensitivity of the flow stress at yielding, to simulate the effect of gradual temperature rise in adiabatic heating on yielding behavior. Along with that, tensile bars were subjected to tests at... 

    Morphology and stress whitening in polypropylene at various strain rates

    , Article Polymer Bulletin ; Volume 80, Issue 9 , 2023 , Pages 9465-9477 ; 01700839 (ISSN) Farahani, M. F ; Bagheri, R ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2023
    Abstract
    Polypropylene (PP) and its composites have an increasing use in automobile and domestic industries. Since the results published regarding effect of strain rate on yield behavior are not compatible, and there is a high attention paid to the effect of strain rate on deformation behavior, the understanding of structure–property relation in PP is crucial. In this research, the effect of strain rate on deformation mechanism of PP and its relation with stress whitening have been studied. Microscopic observations and tensile tests in different strain rates on neat PP samples have suggested that crazing is the prominent deformation mechanism in entire range of the examined strain rates... 

    Equipment failure rate in electric power distribution networks: An overview of concepts, estimation, and modeling methods

    , Article Engineering Failure Analysis ; Volume 145 , 2023 ; 13506307 (ISSN) Ghasemi, H ; Shahrabi Farahani, E ; Fotuhi Firuzabad, M ; Dehghanian, P ; Ghasemi, A ; Wang, F ; Sharif University of Technology
    Elsevier Ltd  2023
    Abstract
    The evolution of the organizational attitudes regarding strategic management of system physical assets and the emergence of new technologies call for special attention to maintenance and reliability. State-of-the-art literature suggested a number of techniques and strategies for estimating the equipment failure rates; however, paralyzed by lack of real-world data, existing literature mostly relied on simplifications that may bring about unique challenges and result in low-accuracy estimations. This paper reviews the existing literature in estimating and modeling the failure rate of power system equipment. The review includes the existing models and the ongoing research on degradation,... 

    Towards IoT-driven predictive business process analytics

    , Article 2020 International Conference on Omni-layer Intelligent Systems, COINS 2020, 31 August 2020 through 2 September 2020 ; 2020 Elhami, E ; Ansari, A ; Farahani, B ; Aliee, F. S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Predictive business process monitoring is concerned with predicting the process-related Key Performance Indicators (KPIs) and forecasting the future behavior of the process in realtime. Despite the amount of work contributed by researches to this field of research, the performance of existing solutions is not desirable for practical settings. Indeed, these approaches are typically context-unaware and lack generality. However, in real-life use cases, business processes are not isolated from the surrounding working environment, and thus they are influenced by many contextual events, such as events generated by IoT devices. To the best of our knowledge, there is no comprehensive study... 

    Cold briquetting of sponge iron (CBSI): Parameters and effectiveness

    , Article Ironmaking and Steelmaking ; Volume 38, Issue 6 , May , 2011 , Pages 442-446 ; 03019233 (ISSN) Tavakoli, M. R ; Askari, M ; Farahani, M ; Shahahmadi, A ; Sharif University of Technology
    2011
    Abstract
    The oxidation of sponge iron products and its destructive effects on iron content as well as other properties have been considered by ferrous technologists for a long time. In this investigation, a unique new low temperature method of preventing and/or retarding the oxidation of direct reduced iron is introduced. Experimental results from laboratory and pilot plant tests show the success of the method which has been named cold briquetting of sponge iron. The optimum condition for briquetting is achieved at 80 kN (Lcm)-1, 6% binder, 10% sponge iron fines and 4% anthracite. While hot briquetted iron has become a successful method for the new generation of iron reduction plants, cold... 

    Investigation of a new flux scheme for the numerical simulation of the supersonic intake flow

    , Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ; Volume 226, Issue 11 , August , 2012 , Pages 1445-1454 ; 09544100 (ISSN) Soltani, M. R ; Younsi, J. S ; Farahani, M ; Sharif University of Technology
    2012
    Abstract
    A numerical code for supersonic intake design with a proper simulation of the normal and/or oblique shocks, boundary layer development, interaction of the shock and the boundary layer, as well as prediction of the flow separation is of great help to the designers. In this research, a numerical code is developed to solve the inner and outer flow fields of the intake and validated with various experimental tests. The intake is an axisymmetric external compression one. Roe scheme and new schemes, AUSM+-up (for all speed) and Advection Upstream Splitting Method with Pressure-Based Weight function (AUSMPW), are used to compute the convective fluxes. The original version of the AUSMPW scheme has... 

    Effects of boundary-layer bleed parameters on supersonic intake performance

    , Article Journal of Propulsion and Power ; Volume 31, Issue 3 , March , 2015 , Pages 826-836 ; 07484658 (ISSN) Soltani, M. R ; Younsi, J. S ; Farahani, M ; Sharif University of Technology
    American Institute of Aeronautics and Astronautics Inc  2015
    Abstract
    The performance and the buzz onset of a supersonic mixed-compression axisymmetric intake are experimentally investigated. Effectsof the slot bleed position, angle, and width onthe intake performance and onthe buzz initiation at three different Mach numbers of 1.8, 2.0, and 2.2 and at a zero degree angle of attack are studied. The intake performance is assessed using the total pressure recovery, mass flow ratio, flow distortion, and bleed mass flow ratio. The results show that applying the bleed at a position near the intake entrance and reducing the bleed entrance slant angle and width all improve the intake performance considerably. Moreover, these parameters postpone the buzz onset. In... 

    Parallel-genetic-algorithm-based HW/SW partitioning

    , Article International Symposium on Parallel Computing in Electrical Engineering, PARELEC 2006, Bialystok, 13 September 2006 through 17 September 2006 ; 2006 , Pages 337-342 ; 0769525547 (ISBN); 9780769525549 (ISBN) Farahani, A. F ; Kamal, M ; Salmani Jelodar, M ; Sharif University of Technology
    2006
    Abstract
    Hardware/Software (HW/SW) partitioning plays one of the most important roles in Co-design of embedded systems that is due to made at the beginning of the cycle of the design. The ultimate designed system's performance strongly depends on partitioning. Therefore, achieving the optimum solutions can reduced the systems cost and delay. On the other hand, Genetic algorithms (GAs) are powerful function optimizers that are used successfully to solve problems in many different disciplines. Parallel GAs (PGAs) are particularly easy to implement and promise substantial gains in performance and results. In this paper, we present a PGA-based approach to achieve near optimal solutions for HW/SW...