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    Using Wireless Sensor Network for Energy Management of Future Homes

    , M.Sc. Thesis Sharif University of Technology Mohammadi, Sattar (Author) ; Sanaei, Esmaeil (Supervisor)
    Abstract
    We present a home energy management system that is able to manage home energy demand and resources to achieve minimum household payment in electricity dynamic pricing.Communication is used to collect needed data from the home energy system members and users in order toimprove demand and resources management. Some of the needed data comes from appliances and solar panels by wireless sensor network and some other is received from home users by a user interface.
    Two algorithms are proposed that the first algorithm goal is to minimizing household payment and the second algorithm goals are flexible implementiation and decreasing household payment. To decrease household payment, these... 

    Cross-Layer Design to Improve Wireless Protocol for Smart Home Application

    , M.Sc. Thesis Sharif University of Technology Abbasloo, Sohail (Author) ; Sanaei, Esmaeil (Supervisor)
    Abstract
    One of the main challenges in the design of wireless sensor networks (WSNs) is minimizing the energy consumption while simultaneously maximizing the performance of sensors. In this thesis, we have considered WSNs based on beacon enabled IEEE 802.15.4/Zigbee Standards with low rate applications like temperature, humidity and light sensing, which mainly have been used in a smart home environment, and proposed a cross-layer design to overcome this challenge. The design involves an optimizer module that captures the application layer and MAC sub layer behaviors. Based on these behaviors, the optimizer dynamically changes the rate of node’s traffic at the application layer and the priority of... 

    Process Variation-Aware Task Scheduling for MPSoCs

    , Ph.D. Dissertation Sharif University of Technology Momtazpour, Mahmoud (Author) ; Sanaei, Esmaeil (Supervisor) ; Goudarzi, Maziar (Co-Advisor)
    Abstract
    Advances in semiconductor manufacturing technologies have enabled us to build billions of transistors on a single die. However, the increasing amount of process variation in nanometer technologies has made it inevitable to move toward statistical analysis methods, instead of deterministic worst-case-based techniques, at all design levels. In this project, we studied the problem of variation-aware task scheduling for MPSoCs. To this end, we first proposed a variability analysis framework to analyze the effect of process variation on the main parameters of MPSoCs. Then, to solve the MPSoC task scheduling problem, we proposed two metaheuristic variation-aware task scheduling method based on... 

    3D Reconstruction of Human Pose in Multi-View Dynamic Scenes

    , Ph.D. Dissertation Sharif University of Technology Ershadi Nasab, Sara (Author) ; Sanaei, Esmaeil (Supervisor) ; Kasaei, Shohreh (Co-Advisor)
    Abstract
    In this thesis, 3D pose reconstruction of one or multiple humans in multi-view dynamic scene is considered. Inputs are multi-view frames of multi-view camera systems. Outputs are the 3D reconstructed human poses in 3D space. The pose is the location of 14 human body joints in the 3D space. In this research, it is not allowed to use Kinect sensor data or other Markers or GPS sensors. It is supposed that only multi-view images are used. 3D reconstruction of human body pose can be performed with different assumptions. For example, the scene is indoor only or the camera calibration information is provided at first.Cameras are moving or fixed. In this research, each of this assumption is regarded... 

    Simultaneous variation-aware architecture exploration and task scheduling for MPSoC energy minimization

    , Article Proceedings of the ACM Great Lakes Symposium on VLSI, GLSVLSI ; 2011 , Pages 271-276 ; 9781450306676 (ISBN) Momtazpour, M ; Ghorbani, M ; Goudarzi, M ; Sanaei, E
    2011
    Abstract
    In nanometer-scale process technologies, the effects of process variations are observed in Multiprocessor System-on-Chips (MPSoC) in terms of variations in frequencies and leakage powers among the processors on the same chip as well as across different chips of the same design. Traditionally, worst-case values are assumed for these parameters and then a deterministic optimization technique is applied to the MPSoC application under design. We show that such worst-case-based approaches are not optimal with the increasing variation observed at system-level, and instead, statistical approaches should be employed. We consider the problem of simultaneously choosing MPSoC architecture and task... 

    Fuzzy Multi-Model Based Predictive Control for Offshore Wind Turbines

    , M.Sc. Thesis Sharif University of Technology Sanaei, Behnam (Author) ; Sadati, Nasser (Supervisor)
    Abstract
    One of the main drivers for the substantial growth in wind energy utilization in the world is the growing demand for renewable energy sources to reduce greenhouse gas emissions. At greater distances from the coastline, more and steadier potential energy resources are available. This has led the world offshore wind energy industry to grow at a faster rate than onshore in the past two decades. In deep waters, the wind turbine is mounted on a floating platform, whose movements increase the complexity of the turbine control system and enhance the mechanical loads on the various components of the turbine. Reducing these mechanical stresses is equivalent to increasing the lifetime of the turbine... 

    Variation-aware task and communication scheduling in MPSoCs for power-yield maximization

    , Article IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences ; Volume E93-A, Issue 12 , 2010 , Pages 2542-2550 ; 09168508 (ISSN) Momtazpour, M ; Goudarzi, M ; Sanaei, E ; Sharif University of Technology
    2010
    Abstract
    Parameter variations reveal themselves as different frequency and leakage powers per instances of the same MPSoC. By the increasing variation with technology scaling, worst-case-based scheduling algorithms result in either increasingly less optimal schedules or otherwise more lost yield. To address this problem, this paper introduces a variationaware task and communication scheduling algorithm for multiprocessor system-on-chip (MPSoC). We consider both delay and leakage power variations during the process of finding the best schedule so that leakier processors are less utilized and can be more frequently put in sleep mode to reduce power. Our algorithm takes advantage of event tables to... 

    VEGF Isolation from Platelet Lysate

    , M.Sc. Thesis Sharif University of Technology Sanaei, Reza (Author) ; Abdekhodaie, Mohammad Jafar (Supervisor)
    Abstract
    Platelet-rich plasma as a juvenile to the narrow repertoire of orthopedic medicine, has risen hope to attain a generic autologous regenerative formula for different conditions. Vast plethora of GFs, cytokines and chemokines has endowed PRP with excellent regenerative properties, however not all of them would favor different conditions. Vascular endothelial growth factor has been demonstrated to be involved in the progress of Osteoarthritis by amplifying the catabolic processes which deteriorate the extracellular matrix of cartilage. Though cumbersome, the result of eliminating VEGF from platelet lysate would be promising. VEGF isolation from platelet lysate requires selectivity. By employing... 

    Variation-aware task scheduling and power mode selection for MPSoC power optimization

    , Article Proceedings - 15th CSI International Symposium on Computer Architecture and Digital Systems, CADS 2010, 23 September 2010 through 24 September 2010 ; September , 2010 , Pages 27-33 ; 9781424462698 (ISBN) Momtazpour, M ; Goudarzi, M ; Sanaei, E ; Sharif University of Technology
    2010
    Abstract
    Increasing delay and power variation has become a major challenge to designing high performance Multiprocessor System-On-Chips (MPSoC) in deep sub-micron technologies. As a result, a paradigm shift from deterministic to statistical design methodology at all levels of the design hierarchy is inevitable. In this paper, we propose a static variation-aware task scheduling and power mode selection algorithm for MPSoCs. The proposed algorithm is able to maximize the total power yield of the chip under a given performance yield constraint by searching for the optimal task scheduling and power mode selection policy for a specified multiprocessor platform. Experimental results are gathered by... 

    Static statistical MPSoC power optimization by variation-aware task and communication scheduling

    , Article Microprocessors and Microsystems ; Volume 37, Issue 8 PART B , 2013 , Pages 953-963 ; 01419331 (ISSN) Momtazpour, M ; Goudarzi, M ; Sanaei, E ; Sharif University of Technology
    2013
    Abstract
    Corner-case analysis is a well-known technique to cope with occasional deviations occurring during the manufacturing process of semiconductors. However, the increasing amount of process variation in nanometer technologies has made it inevitable to move toward statistical analysis methods, instead of deterministic worst-case-based techniques, at all design levels. We show that by statically considering statistical effects of random and systematic process variation on performance and power consumption of a Multiprocessor System-on-Chip (MPSoC), significant power improvement can be achieved by static software-level optimizations such as task and communication scheduling. Moreover, we analyze... 

    Optimization-based home energy management in the presence of solar energy and storage

    , Article 2013 21st Iranian Conference on Electrical Engineering ; May , 2013 , Page(s): 1 - 6 ; 9781467356343 (ISBN) Mohammadi, S ; Momtazpour, M ; Sanaei, E ; Sharif University of Technology
    2013
    Abstract
    New technologies such as smart homes and appliances and renewable energy production have been attracting much attention in recent years. In practice, the management of these technologies to get the minimum household payment has become a challenge due to the time-varying electricity price. In this paper, we propose a real time energy management system to manage the appliances and storages. The solar energy is charged in the storages and used together with the grid electricity to supply the appliances. The proposed management system uses an ILP-based Home Energy Management (ILPHEM) optimization engine. ILPHEM schedules appliances requests and storage usage based on updated real time input data... 

    Synthesis and Study of Electron Transport through a Self-Assembled Monolayer of Thiol-End-Functionalized Tetraphenylporphyrines and Metalo-Tetraphenylporphyrines and Electrochemical Analysis of Dopamine and Ascorbic Acid with this SAMs

    , M.Sc. Thesis Sharif University of Technology Sanaei, Mahsa (Author) ; Mohammadi Boghaei, Davar (Supervisor)
    Abstract
    Self-Assembled Monolayer (SAM) is the first step in all surface engineering and assembly processes. It is used in sensor fabrication, memories and molecular recognition and optoelectronic devises as an active surface for patterning and chemical architecting of solid substrates. Tetraphenyl porphyrins because of their high stability and uniqe electronic and optic properties, that comes from their conjugate π electrons, easily can be used in these monolayers. Moreover they have a wide application because of their ability for coordination with metals and accepting substituents with electron donating and withdrawing properties. Electron transport through these layars which attach to the surface... 

    Uncalibrated multi-view multiple humans association and 3D pose estimation by adversarial learning

    , Article Multimedia Tools and Applications ; 2020 Ershadi Nasab, S ; Kasaei, S ; Sanaei, E ; Sharif University of Technology
    Springer  2020
    Abstract
    Multiple human 3D pose estimation is a useful but challenging task in computer vison applications. The ambiguities in estimation of 2D and 3D poses of multiple persons can be verified by using multi-view frames, in which the occluded or self-occluded body parts of some persons might be visible in other camera views. But, when cameras are moving and uncalibrated, estimating the association of multiple human body parts among different camera views is a challenging task. This paper presents novel methods for multiple human 3D pose estimation and pose association in multi-view camera frames in an uncalibrated camera setup using an adversarial learning framework. The generator is a 3D pose... 

    Regression-based convolutional 3D pose estimation from single image

    , Article Electronics Letters ; Volume 54, Issue 5 , March , 2018 , Pages 292-293 ; 00135194 (ISSN) Ershadi Nasab, S ; Kasaei, S ; Sanaei, E ; Sharif University of Technology
    Institution of Engineering and Technology  2018
    Abstract
    Estimation of 3D human pose from a single image is a challenging task because of ambiguities in projection from 3D space to the 2D image plane. A new two-stage deep convolutional neural network-based method is proposed for regressing the distance and angular difference matrices among body joints. Using the angular difference between body joints in addition to the distance between them in articulated objects such as human body can better model the structure of the shapes and increases the modelling capability of the learning method. Experimental results on HumanEva I and Human3.6M datasets show that the proposed method has substantial improvement in the mean per joint position error measure... 

    RCCT: Robust clustering with cooperative transmission for energy efficient wireless sensor networks

    , Article International Conference on Information Technology: New Generations, ITNG 2008, Las Vegas, NV, 7 April 2008 through 9 April 2008 ; 2008 , Pages 761-766 ; 0769530990 (ISBN); 9780769530994 (ISBN) Ghelichi, M ; Jahanbakhsh, S. K ; Sanaei, E ; Sharif University of Technology
    2008
    Abstract
    Data gathering is a common but critical operation in many applications of wireless sensor networks. Innovative techniques that improve energy efficiency to prolong the network lifetime are highly required. Clustering is an effective topology control approach in wireless sensor networks, which can increase scalability and lifetime. These networks require robust wireless communication protocols that are energy efficient and provide low latency. In this paper, we develop and analyze an efficient cooperative transmission protocol with robust clustering (RCCT) for sensor networks that considers a fault-tolerant and energy-efficient distributed clustering with minimum overhead. RCCT distributes... 

    RGB-D scene segmentation with conditional random field

    , Article 2014 6th Conference on Information and Knowledge Technology, IKT 2014 ; 2014 , pp. 134-139 ; ISBN: 9781479956609 Nasab, S. E ; Kasaei, S ; Sanaei, E ; Sharif University of Technology
    2014
    Abstract
    Segmentation of a scene to the part made is a challenging work. In this paper a graphical model is used for this task. The methods based on geometrical derivatives such as curvature and normal often haven't good result in segmentation of geometrically-complex architecture and lead to over-segmentation and even failure. Proposed method for segmentation contains two steps. At first region growing based on curvature, normal and color is used for growing region. This segmented cloud is used for unary potential in graphical model. Fully connected graph for Conditional Random Field with Gaussian kernel for pair wise potentials is used for correcting this segmentation. Gaussian kernels are based on... 

    Centralized optimal management of a smart distribution system considering the importance of load reduction based on prioritizing smart home appliances

    , Article IET Generation, Transmission and Distribution ; Volume 16, Issue 19 , 2022 , Pages 3874-3893 ; 17518687 (ISSN) Sanaei, S ; Haghifam, M. R ; Safdarian, A ; Sharif University of Technology
    John Wiley and Sons Inc  2022
    Abstract
    The distribution system's economic operation is significantly impacted by the management of distributed generation (DG) resources, energy storage (ES), and controllable loads. The paper employs a smart distribution system that incorporates dispatchable and non-dispatchable DG resources, as well as battery storage, in addition to the demand response (DR) scheme. New modelling was performed in hourly steps to achieve the optimal unit commitment. In smart homes, appliances are prioritized and classified into four types: adjustable, interruptible, shiftable, and uncontrollable loads. Load reduction in smart homes is also considered based on load prioritization and customer participation in the... 

    Uncalibrated multi-view multiple humans association and 3D pose estimation by adversarial learning

    , Article Multimedia Tools and Applications ; Volume 80, Issue 2 , 2021 , Pages 2461-2488 ; 13807501 (ISSN) Ershadi Nasab, S ; Kasaei, S ; Sanaei, E ; Sharif University of Technology
    Springer  2021
    Abstract
    Multiple human 3D pose estimation is a useful but challenging task in computer vison applications. The ambiguities in estimation of 2D and 3D poses of multiple persons can be verified by using multi-view frames, in which the occluded or self-occluded body parts of some persons might be visible in other camera views. But, when cameras are moving and uncalibrated, estimating the association of multiple human body parts among different camera views is a challenging task. This paper presents novel methods for multiple human 3D pose estimation and pose association in multi-view camera frames in an uncalibrated camera setup using an adversarial learning framework. The generator is a 3D pose... 

    Ontology-Based Android Malware Forensics

    , M.Sc. Thesis Sharif University of Technology Gholami, Esmaeil Gholami (Author) ; Amini, Morteza (Supervisor)
    Abstract
    Today, smart devices have become an integral part of everyday life. The Android operating system is also the most popular operating system of these devices, and as a result, various malwares are produced and distributed for this operating system every day. This makes it especially important to investigate these malwares. This includes finding people involved in the development and distribution of malware, as well as discovering other malwares created by them. Discovering other involved entities, such as social media accounts, websites, Android store accounts, and taking steps to prevent malware from being distributed by them is another aspect of this story. In order to deal with organized... 

    Reducing Power Consumption through Adaptive Switching Mechanism and Buffer Management

    , M.Sc. Thesis Sharif University of Technology Mehrjou, Masoud (Author) ; Sanaei, Esmael (Supervisor) ; Hessabi, Shaahin (Supervisor)
    Abstract
    The fast development of semiconductor industry has moved the design methodology to SoC (System on Chip) design. This growing trend has made it possible to perform parallel processing on a chip. Due to the increasing number of processing elements In SoCs, buses become the bottleneck of the system and lead to non-efficient designs. In the early years of the current decade, Network on Chip (NoC) was introduced and considered by the researchers. NoC is an efficient solution that eliminates bus bottleneck and it had been introduced as a suitable substructure for interconnecting processing elements. The NoCs were originally built based on Interconnection Networks. Although initially aimed at...