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    Heat transfer and energy analysis of a pusher type reheating furnace using Oxygen enhanced air for combustion

    , Article Journal of Iron and Steel Research International ; Volume 17, Issue 4 , 2010 , Pages 12-17 ; 1006706X (ISSN) Jafar Karimi, H ; Saidi, M. H ; Sharif University of Technology
    Abstract
    Oxy-fuel firing is more energy efficient and environmental friendly than conventional air-fuel firing and its application to reheating furnaces has hegun since 1990s. A computational method was presented to predict the steady heat transfer to the billets and temperature distribution in a continuous pusher type reheating furnace in which combustion air was enhanced by oxygen. Radiation heat flux calculated from the radiation heat exchange within the furnace was modeled using the FVM considering the effects of furnace walls and billets. Energy consumption per ton of steel, production rate and thermal efficiency of furnace, and trend of NOx emission in various levels of oxygen enrichment were... 

    DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing

    , Article Journal of Big Data ; Volume 8, Issue 1 , 2021 ; 21961115 (ISSN) Ahmadvand, H ; Foroutan, F ; Fathy, M ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the... 

    DV-DVFS: merging data variety and DVFS technique to manage the energy consumption of big data processing

    , Article Journal of Big Data ; Volume 8, Issue 1 , 2021 ; 21961115 (ISSN) Ahmadvand, H ; Foroutan, F ; Fathy, M ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Abstract
    Data variety is one of the most important features of Big Data. Data variety is the result of aggregating data from multiple sources and uneven distribution of data. This feature of Big Data causes high variation in the consumption of processing resources such as CPU consumption. This issue has been overlooked in previous works. To overcome the mentioned problem, in the present work, we used Dynamic Voltage and Frequency Scaling (DVFS) to reduce the energy consumption of computation. To this goal, we consider two types of deadlines as our constraint. Before applying the DVFS technique to computer nodes, we estimate the processing time and the frequency needed to meet the deadline. In the... 

    Improving the energy/power consumption of parallel decimal multipliers

    , Article Indian Journal of Science and Technology ; Vol. 7, issue. 3 , 2014 , p. 276-281 Malekpour, A ; Ejlali, A ; Sharif University of Technology
    Abstract
    Decimal arithmetic has gained intensive attention in the last decade. Most commercial, financial, scientific, and internet-based applications need their data to be precise, while binary number system loses preciseness in some cases. The latency and area are two major factors in existing research works on decimal multiplication. However, energy/power consumption is another important factor in today's digital systems. Hence, in this paper we proposed a new low power decimal adder based on prediction technique for decreasing the energy/power consumption of parallel decimal multiplication and show its impacts on one of the well-known parallel decimal multipliers architecture. Our observations... 

    Innovative conceptual design on a tracked robot using TRIZ method for passing narrow obstacles

    , Article Indian Journal of Science and Technology ; Volume 9, Issue 7 , 2016 ; 09746846 (ISSN) Haghshenas Gorgani, H ; Sharif University of Technology
    Indian Society for Education and Environment 
    Abstract
    Background/Objectives: One of the problems of tracked robots in ragged roads is to pass narrow obstacles. As a primary solution, the process of come back and pass another way is usually time consuming or impossible. Methods/Statistical Analysis: In this paper, first, we evaluate the usual solution for this problem, which is preparation of a drive system at the middle area and then by using of innovative problem solving method (TRIZ), by answering ISQ questionnaire and extracting some technical contradictions, we try to match them in contradiction matrix and finally by applying 40 innovative principles we solve these technical contradictions which lead us to the solution of the problem.... 

    A hybrid algorithm to reduce energy consumption management in cloud data centers

    , Article International Journal of Electrical and Computer Engineering ; Volume 9, Issue 1 , 2019 , Pages 554-561 ; 20888708 (ISSN) Tarahomi, M ; Izadi, M ; Sharif University of Technology
    Institute of Advanced Engineering and Science  2019
    Abstract
    There are several physical data centers in cloud environment with hundreds or thousands of computers. Virtualization is the key technology to make cloud computing feasible. It separates virtual machines in a way that each of these so-called virtualized machines can be configured on a number of hosts according to the type of user application. It is also possible to dynamically alter the allocated resources of a virtual machine. Different methods of energy saving in data centers can be divided into three general categories: 1) methods based on load balancing of resources; 2) using hardware facilities for scheduling; 3) considering thermal characteristics of the environment. This paper focuses... 

    A meta-heuristic clustering method to reduce energy consumption in internet of things

    , Article International Journal of Nonlinear Analysis and Applications ; Volume 12, Issue 1 , 2021 , Pages 45-58 ; 20086822 (ISSN) Heidari, E ; Motameni, H ; Movaghar, A ; Sharif University of Technology
    Semnan University, Center of Excellence in Nonlinear Analysis and Applications  2021
    Abstract
    The Internet of Things (IoT) is an emerging phenomenon in the field of communication, in which smart objects communicate with each other and respond to user requests. The IoT provides an integrated framework providing interoperability across various platforms. One of the most essential and necessary components of IoT is wireless sensor networks. Sensor networks play a vital role in the lowest level of IoT. Sensors in sensor networks use batteries which are not replaceable, and hence, energy consumption becomes of great importance. For this reason, many algorithms have been recently proposed to reduce energy consumption. In this paper, a meta-heuristic method called whale optimization... 

    Reduction of Energy Consumption in Wireless Sensor Networks Using Genetic Algorithm

    , M.Sc. Thesis Sharif University of Technology Karimi, Mojtaba (Author) ; Hemmatyar, Ali Mohammad Afshin (Supervisor)
    Abstract
    Reducing energy consumption is one of the challenges facing wireless sensor networks with many solutions introduced for them with each having advantages and disadvantages. Some of the solutions introduced are based on using movable sinks. In this project, we attempt at proposing a place for the establishment of sinks using genetic algorithm that can reduce energy consumption in the net knots and increase the net life. This work should be done after reviewing the results of past researches and introduced methods. We will analyze the practicality of the proposed model using simulation and will show their advantages over the previous mentioned methods  

    Consistency Aware Energy Management in Energy Harvesting Embedded Systems with Non-Volatile Memory

    , M.Sc. Thesis Sharif University of Technology Abbasinia, Mohammad (Author) ; Ejlali, Alireza (Supervisor)
    Abstract
    Nowadays, energy harvesting systems are becoming a promising alternative to battery-embedded systems, as they are more environmentally and they have more life span. The energy extracted from the environment is often limited and unpredictable. A power outage leads to destroying the data in volatile memory. So, the energy harvesting system should execute the program from scratch. The emerging nonvolatile technologies could omit the problem, as mentioned earlier. However, they have high energy consumption and access latency. Conventional methods, which use volatile-nonvolatile memories in battery-embedded systems, are not suitable for energy harvesting systems. Since, a power outage might cause... 

    Study of factors affecting on the sawability of the ornamental stone

    , Article 10th International Multidisciplinary Scientific Geoconference and EXPO - Modern Management of Mine Producing, Geology and Environmental Protection, SGEM 2010, 20 June 2010 through 26 June 2010, Varna ; Volume 1 , 2010 , Pages 533-547 ; 9789549181814 (ISBN) Yousefi, R ; Mikaeil, R ; Ataei, M ; Abbasian, R ; Sharif University of Technology
    2010
    Abstract
    Ornamental stone sawability is important in predicting the prime cost of production and planning of the stone quarries and factories. Ornamental stone sawability with two standard methods, wire and circular sawing, is dependent on many parameters including; the stone that be sawn and machine characteristics and saw operating characteristic. The investigation of these parameters and the determination of the optimum working conditions for sawing machines in the stone industry is significant for establishing the most suitable and economic usage of the sawing method in the future. Up to now, various attempts have been made to determine these parameters. In this review paper, the important... 

    Modeling and Optimization of Energy Engineering Department Building HVAC System Operation by Online Monitoring of Indoor Conditions

    , M.Sc. Thesis Sharif University of Technology Hamidi, Mohammad Bagher (Author) ; Rajabi, Abbas (Supervisor)
    Abstract
    Increasing global final energy demand and the use of fossil fuels to meet this amount of energy demand have raised concerns about environmental impacts of fossil fuel consumption and the reduction of fossil energy reserves. Among the energy consumer sectors including industry, transport activities, agriculture, and households, the household sector is one of the most important sectors, regarding its share of total final energy consumption. Heating and cooling systems, which mainly use fossil fuels, are the biggest energy consumers in the household sector. Hence, optimal management of the heating and cooling systems can play an effective role in reducing energy costs in buildings. In this... 

    The relationship between energy consumption and income inresidential and commercialsectors of Iran using STR

    , Article World Applied Sciences Journal ; Volume 22, Issue 6 , Oct , 2013 , Pages 824-830 ; 18184952 (ISSN) Mollaali Kani, A. H ; Abbaspour, M ; Amiri, H ; Beshkhoor, M ; Talaie Shokri, S ; Sharif University of Technology
    2013
    Abstract
    Residential and commercial sectors, share a significant portion of energy consumption in Iran; 37 percent of the total per capita consumption. Therefore, identification of the relation between revenue and energy consumption could be a great assistance to policy makers for clarification of policies employed in energy sector. This paper attempts to explore and analyze the relationship between revenue and energy consumption in residential and commercial sectors for the years 1969 to 2009 in Iran by Smooth Transition Regression Models. Smooth transition regression model is a nonlinear time series model which can be considered as a developed form of Switching Regression Model. The obtained... 

    Conceptual design double feed reactive distillation columns

    , Article CHISA 2012 - 20th International Congress of Chemical and Process Engineering and PRES 2012 - 15th Conference PRES ; 2012 Avami, A ; Ceska Rafinerska; DEZA; Synpo; BorsodChem; Prazska Plynarenska a.s ; Sharif University of Technology
    Abstract
    An approach to assess feasibility and determine the feasible range of operating parameters for double-feed reactive distillation columns is put forward. It is based on the combination of analysis of the pinch point maps for the middle-section in compositional space and an efficient shortcut design method. The existence of the liming bounds on operating parameters is observed. The methodology is illustrated by the production of methyl acetate and ethyl acetate. The analysis provides an efficient method to identify the most promising candidates of double feed reactive distillation columns and to study the design flexibility in terms of operating parameters. This is an abstract of a paper... 

    Energy-optimized on-chip networks using reconfigurable shortcut paths

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 24 February 2011 through 25 February 2011 ; Volume 6566 LNCS , February , 2011 , Pages 231-242 ; 03029743 (ISSN) ; 9783642191367 (ISBN) Teimouri, N ; Modarressi, M ; Tavakkol, A ; Sarbazi Azad, H ; Sharif University of Technology
    2011
    Abstract
    Topology is an important network attribute that greatly affects the power, performance, cost, and design time/effort of NoCs. In this paper, we propose a novel NoC architecture that can exploit the benefits of both application-specific and regular NoC topologies. To this end, a subset of NoC links bypass the router pipeline stages and directly connect remotely located nodes. This results in an NoC which holds both fixed connections between adjacent nodes and long connections virtually connecting non-adjacent nodes. These shortcut paths are constructed at run-time by employing a simple and fast mechanism composed of two processes: on-chip traffic monitoring and path reconfiguration. The... 

    An efficient fitness function for clustering of wireless sensor networks

    , Article International Journal of Sensors, Wireless Communications and Control ; Volume 10, Issue 3 , 2020 , Pages 318-324 Hoseinpour, A ; Jafari Lahijani, M. J ; Hosseinpour, M ; Kazemitabar, J ; Sharif University of Technology
    Bentham Science Publishers  2020
    Abstract
    Background & Objective: A sensor network is composed of a large number of sensor nodes that are deployed to perform measurement and/or command and control in a field. Sensor nodes are battery powered devices and replacement or recharging of their batteries may not be feasible. One of the major challenges with sensory wireless networks is excessive energy consumption in nodes. Clustering is one of the methods that has been offered for resolving this issue. In this paper, we pursue evolutionary clustering and propose a new fitness function that har-nesses multiple propagation indices. Methods: In this paper we develop an efficient fitness function by first selecting the best clusters, and then... 

    REFER: A reliable and energy-efficient RPL for mobile IoT applications

    , Article 3rd CSI/CPSSI International Symposium on Real-Time and Embedded Systems and Technologies, RTEST 2020, 10 June 2020 through 11 June 2020 ; July , 2020 Rezagholi Lalani, S ; Salehi, A. A. M ; Taghizadeh, H ; Safaei, B ; Hosseini Monazzah, A. M ; Ejlali, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2020
    Abstract
    Recently, IoT has been massively applied in different areas of human life. Meanwhile, in many of the IoT applications, e.g., the remote patient health-care monitoring systems, the reliability of communications, and the consumed energy in IoT devices, which are mostly battery-operated, are very challenging. Since IoT devices are typically operated in lossy environments, providing a reliable transmission for the packets imposes a noticeable amount of energy consumption. In addition, the runtime movement of the IoT devices in mobile networks further intensifies these issues. Therefore, the applied policies in the IPv6 RPL as the standard routing mechanism in IoT networks, play an important role... 

    A Control Theoretic Technique for Energy Management in Multi-core Embedded Systems

    , M.Sc. Thesis Sharif University of Technology Abbasnia Tehrani, Mojtaba (Author) ; Ejlali, Alireza (Supervisor)
    Abstract
    Since multi-core processors have become a primary trend in processor development, new scheduling algorithms are needed to minimize power consumption while achieving the desired timeliness guarantees for multi-core real-time embedded systems. Although various power/energy efficient scheduling algorithms have recently been proposed, existing studies may have degraded run-time performance in terms of power/energy efficiency and real-time guarantees when applied to real-time embedded systems with uncertain execution time. Moreover, these algorithms are only provided for a specific set of tasks, while many industrial applications with real-time demands are composed of mixed sets of tasks with a... 

    Deep Reinforcement Learning for Building Climate Control Using Weather Forecast Data

    , M.Sc. Thesis Sharif University of Technology Honari Latifpour, Ehsan (Author) ; Rezaeizadeh, Amin (Supervisor)
    Abstract
    Buildings account for more than 30% of the world’s total energy consumption. Among building end-uses, air conditioning and in particular cooling systems have a major share of more than 50%. Therefore, design of optimal controllers for AC systems has become increasingly important. Classical and model-free control methods typically lack the ability to optimize energy consumption. On the other hand, model-based optimal control methods rely on precise modeling, which is difficult to acquire due to the complexity of the AC system dynamics.In recent years, deep reinforcement learning has become a popular choice for optimal control of systems with complex dynamics. In this thesis, a deep... 

    Timetable optimization for maximum usage of regenerative energy of braking in electrical railway systems

    , Article SPEEDAM 2010 - International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 14 June 2010 through 16 June 2010 ; June , 2010 , Pages 1218-1221 ; 9781424449873 (ISBN) Nasri, A ; Fekri Moghadam, M ; Mokhtari, H ; Sharif University of Technology
    2010
    Abstract
    Research projects in urban transportation systems require proper simulation softwares. Such softwares are the basic requirements of any kind of study in electrical transportation systems. Due to high energy consumption of these systems, studies for its optimization are challenging and necessary. In this paper an optimized timetable of trains? movement is proposed in order to completely utilize the regenerative energy of trains? braking in stations. A sample subway system is simulated and Genetic algorithm is used as an optimization method. The effect of headway and reserve times on the amount of energy consumption is studied and an optimized reserve time set is found for the sample system.... 

    As, Sb, and Fe removal from industrial copper electrolyte by solvent displacement crystallisation technique

    , Article Canadian Metallurgical Quarterly ; 2018 ; 00084433 (ISSN) Shabani, A ; Hoseinpur, A ; Yoozbashizadeh, H ; Vahdati Khaki, J ; Sharif University of Technology
    Taylor and Francis Ltd  2018
    Abstract
    The presence of impurities in the copper electrolyte increases the energy consumption of an electrorefining process and contaminates the deposited copper on cathode. The concentration of impurities increases over time making it necessary to remove them from the solution. This research introduces a fast, effective, and simple method to refine the industrial electrolyte from arsenic, iron and antimony by solvent displacement crystallisation technique. In this method, when alcohol is added to the electrolyte, the impurities precipitate from the solution as amorphous arsenato antimonite phase. Results show that Fe, Sb, and As are removed from the copper electrolyte by 75.2, 96.9 and 99.8%,...