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    The Study of Quantum Effects in Early Universe

    , Ph.D. Dissertation Sharif University of Technology Rostami, Abasat (Author) ; Golshani, Mehdi (Supervisor) ; Taghizadeh Firouzjaee, Javad (Co-Supervisor)
    Abstract
    In this thesis, we study two important quantum effects at deSitter spacetime and using the Schrödinger field theory, the power spectrum of massive non-interacting, minimally coupled scalars in a fixed de Sitter background would be obtained. To calculate the N-point function in Schrödinger field theory, the ”in-in” formalism is extended in the Friedmann- Lemaître-Robertson-Walker (FLRW) universe. This formalism in such picture would have a crucial role for evaluating the correlation functions of those quantum states naturally written in Schrödinger picture. We compute the three-point function for primordial scalar field fluctuation in the single field inflation by this in-in formalism. The... 

    P-Wave Holographic Superconductor Phase Transition

    , Ph.D. Dissertation Sharif University of Technology Akhavan, Amin (Author) ; Arfaei, Hessamaddin (Supervisor) ; Alishahiha, Mohsen (Supervisor)
    Abstract
    In the present thesis, two subjects have been studied. In the first one we introduce the theory of holographic superconductors. Using the gauge/gravity correspondence, many of the features of perconductors will be explored. Analyzing the five-dimensional AdS gravity coupled to a gauge field and a charged scalar field, we can recognize the system undergoes a superconductor/insulator transition at zero temperature and critical chemical potential.We consider the backreaction effects to construct the complete phase diagram for the system. For a determined chemical potential there are typically two phase transitions as the temperature is lowered.we also discuss the zero temperature limit of a... 

    Probabilistic optimal power flow in correlated hybrid wind-photovoltaic power systems

    , Article IEEE Transactions on Smart Grid ; Vol. 5, issue. 1 , 2014 , p. 130-138 ; ISSN: 19493053 Aien, M ; Fotuhi-Firuzabad, M ; Rashidinejad, M ; Sharif University of Technology
    Abstract
    As a matter of course, the unprecedented ascending penetration of distributed energy resources (DERs), mainly harvesting renewable energies (REs), is concomitant with environmentally friendly concerns. This type of energy resources are innately uncertain and bring about more uncertainties in the power system, consequently, necessitates probabilistic analyses of the system performance. Moreover, the uncertain parameters may have a considerable level of correlation to each other, in addition to their uncertainties. The two point estimation method (2PEM) is recognized as an appropriate probabilistic method in small scale or even medium scale problems. This paper develops a new methodology for... 

    Probabilistic power flow of correlated hybrid wind-photovoltaic power systems

    , Article IET Renewable Power Generation ; Vol. 8, issue. 6 , 2014 , p. 649-658 ; ISSN: 17521416 Aien, M ; Khajeh, M. G ; Rashidinejad, M ; Fotuhi-Firuzabad, M ; Sharif University of Technology
    Abstract
    As a matter of course, the unprecedented ascending penetration of distributed energy resources, mainly harvesting renewable energies such as wind and solar, is concomitant with environmentally friendly concerns. This type of energy resources are innately uncertain and bring about more uncertainties in the power system context, consequently, necessitates probabilistic analysis of the system performance. Moreover, the uncertain parameters may have a considerable level of correlation to each other, in addition to their uncertainties. The two point estimation method (2PEM) is recognised as an appropriate probabilistic method. This study proposes a new methodology for probabilistic power flow... 

    Probabilistic load flow in correlated uncertain environment using unscented transformation

    , Article IEEE Transactions on Power Systems ; Vol. 27, issue. 4 , 2012 , p. 2233-2241 ; ISSN: 08858950 Aien, M ; Fotuhi-Firuzabad, M ; Aminifar, F ; Sharif University of Technology
    Abstract
    As a matter of course, the unprecedented ascending penetration of distributed energy resources, mainly harvesting renewable energies, is a direct consequence of environmental concerns. This type of energy resource brings about more uncertainties in power system operation and planning; consequently, it necessitates probabilistic analyses of the system performance. This paper develops a new approach for probabilistic load flow (PLF) evaluation using the unscented transformation (UT) method. The UT method is recognized as a powerful approach in assessing stochastic problems with/without correlated uncertain variables. The capability of the UT method in modeling correlated uncertain variables is... 

    A modified two-point stepsize gradient algorithm for unconstrained minimization

    , Article Optimization Methods and Software ; Volume 28, Issue 5 , 2013 , Pages 1040-1050 ; 10556788 (ISSN) Babaie Kafaki, S ; Fatemi, M ; Sharif University of Technology
    2013
    Abstract
    Based on a modified secant equation proposed by Li and Fukushima, we derive a stepsize for the Barzilai-Borwein gradient method. Then, using the newly proposed stepsize and another effective stepsize proposed by Dai et al. in an adaptive scheme that is based on the objective function convexity, we suggest a modified two-point stepsize gradient algorithm. We also show that the limit point of the sequence generated by our algorithm is first-order critical. Finally, our numerical comparisons done on a set of unconstrained optimization test problems from the CUTEr collection are presented. At first, we compare the performance of our algorithm with two other two-point stepsize gradient algorithms... 

    On the power of the semi-separated pair decomposition

    , Article Computational Geometry: Theory and Applications ; Volume 46, Issue 6 , 2013 , Pages 631-639 ; 09257721 (ISSN) Abam, M. A ; Carmi, P ; Farshi, M ; Smid, M ; Sharif University of Technology
    2013
    Abstract
    A Semi-Separated Pair Decomposition (SSPD), with parameter s>1, of a set SâŠ"Rd is a set {(Ai,Bi)} of pairs of subsets of S such that for each i, there are balls DAi and DBi containing Ai and Bi respectively such that d(DAi,DBi)≥s×min(radius(DAi), radius(DBi)), and for any two points p,qâ̂̂S there is a unique index i such that pâ̂̂Ai and qâ̂̂Bi or vice versa. In this paper, we use the SSPD to obtain the following results: First, we consider the construction of geometric t-spanners in the context of imprecise points and we prove that any set SâŠ"Rd of n imprecise points, modeled as pairwise disjoint balls, admits a t-spanner with O(nlogn/(t-1)d) edges that can be computed in O(nlogn/(t-1)d)... 

    The impact of dispersed PV generation on ramp rate requirements

    , Article 2012 11th International Conference on Environment and Electrical Engineering, EEEIC 2012 - Conference Proceedings, 18 May 2012 through 25 May 2012, Venice ; 2012 , Pages 977-982 ; 9781457718281 (ISBN) Arabali, A. S ; Dehghanian, P ; Moeini-Aghtaie, M ; Abbaspour, A ; Sharif University of Technology
    IEEE  2012
    Abstract
    PV generation variability and uncertainty significantly influence operation of the power systems with high penetration of PV sources. The potential impact of distributed PV generation on ramp rate requirements in the IEEE 24-bus system is evaluated in this paper. PV generation and load are, here, probabilistically modeled using actual data and curve fitting approach. Probabilistic unit commitment (UC) based on unit de-commitment method combined with two point estimate method (2-PEM) is used to determine the ramp rate required to compensate for the PV power fluctuations. The proposed method considers stochastic factors and their effects on the dispatch results. Two scenarios are studied to... 

    Probabilistic load flow in correlated uncertain environment using unscented transformation

    , Article IEEE Transactions on Power Systems ; Volume 27, Issue 4 , 2012 , Pages 2233-2241 ; 08858950 (ISSN) Aien, M ; Fotuhi Firuzabad, M ; Aminifar, F ; Sharif University of Technology
    2012
    Abstract
    As a matter of course, the unprecedented ascending penetration of distributed energy resources, mainly harvesting renewable energies, is a direct consequence of environmental concerns. This type of energy resource brings about more uncertainties in power system operation and planning; consequently, it necessitates probabilistic analyses of the system performance. This paper develops a new approach for probabilistic load flow (PLF) evaluation using the unscented transformation (UT) method. The UT method is recognized as a powerful approach in assessing stochastic problems with/without correlated uncertain variables. The capability of the UT method in modeling correlated uncertain variables is... 

    A probabilistic modeling of photo voltaic modules and wind power generation impact on distribution networks

    , Article IEEE Systems Journal ; Volume 6, Issue 2 , 2012 , Pages 254-259 ; 19328184 (ISSN) Soroudi, A ; Aien, M ; Ehsan, M ; Sharif University of Technology
    2012
    Abstract
    The rapid growth in use of renewable intermittent energy resources, like wind turbines (WTs) and solar panels, in distribution networks has increased the need for having an accurate and efficient method of handling the uncertainties associated with these technologies. In this paper, the unsymmetrical two point estimate method (US2PEM) is used to handle the uncertainties of renewable energy resources. The uncertainty of intermittent generation of WT, photo voltaic cells, and also electric loads, as input variables, are taken into account. The variation of active losses and imported power from the main grid are defined as output variables. The US2PEM is compared to symmetrical two point... 

    Geometric spanners for points inside a polygonal domain

    , Article 31st International Symposium on Computational Geometry, SoCG 2015, 22 June 2015 through 25 June 2015 ; Volume 34 , 2015 , Pages 186-197 ; 18688969 (ISSN) ; 9783939897835 (ISBN) Abam, M. A ; Adeli, M ; Homapour, H ; Zafar-Asadollahpoor, P ; Sharif University of Technology
    Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing  2015
    Abstract
    Let P be a set of n points inside a polygonal domain D. A polygonal domain with h holes (or obstacles) consists of h disjoint polygonal obstacles surrounded by a simple polygon which itself acts as an obstacle. We first study t-spanners for the set P with respect to the geodesic distance function π where for any two points p and q, (p, q) is equal to the Euclidean length of the shortest path from p to q that avoids the obstacles interiors. For a case where the polygonal domain is a simple polygon (i.e., h = 0), we construct a (10 + ε)-spanner that has O(n log2 n) edges. For a case where there are h holes, our construction gives a (5 + ε)-spanner with the size of O(nh log2 n). Moreover, we... 

    Probabilistic optimal power flow in correlated hybrid wind-PV power systems: A review and a new approach

    , Article Renewable and Sustainable Energy Reviews ; Volume 41 , January , 2015 , Pages 1437-1446 ; 13640321 (ISSN) Aien, M ; Rashidinejad, M ; Firuz Abad, M. F ; Sharif University of Technology
    Elsevier Ltd  2015
    Abstract
    Hastening the power industry reregulation juxtaposed with the unprecedented utilization of uncertain renewable energies (REs), faces power system operation with sever uncertainties. Consequently, uncertainty assessment of system performance is an obligation. This paper reviews the probabilistic techniques used for probabilistic optimal power flow (P-OPF) studies and proposes a novel and powerful approach using the unscented transformation (UT) method. The heart of the proposed method lies in how to produce the sampling points. Appropriate sampling points are chosen to perform the P-OPF with a high degree of accuracy and less computational burden compared with features of other existing... 

    A novel method to find appropriate ε for DBSCAN

    , Article Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 24 March 2010 through 26 March 2010 ; Volume 5990 LNAI, Issue PART 1 , 2010 , Pages 93-102 ; 03029743 (ISSN) ; 3642121446 (ISBN) Esmaelnejad, J ; Habibi, J ; Hassas Yeganeh, S ; Sharif University of Technology
    2010
    Abstract
    Clustering is one of the most useful methods of data mining, in which a set of real or abstract objects are categorized into clusters. The DBSCAN clustering method, one of the most famous density based clustering methods, categorizes points in dense areas into same clusters. In DBSCAN a point is said to be dense if the ε-radius circular area around it contains at least MinPts points. To find such dense areas, region queries are fired. Two points are defined as density connected if the distance between them is less than ε and at least one of them is dense. Finally, density connected parts of the data set extracted as clusters. The significant issue of such a method is that its parameters (ε... 

    A probabilistic energy management scheme for renewable-based residential energy hubs

    , Article IEEE Transactions on Smart Grid ; Volume 8, Issue 5 , 2017 , Pages 2217-2227 ; 19493053 (ISSN) Rastegar, M ; Fotuhi Firuzabad, M ; Zareipour, H ; Moeini Aghtaieh, M ; Sharif University of Technology
    Abstract
    This paper proposes a new framework for home energy management (HEM) in the context of renewable-based residential energy hub using a probabilistic optimization approach. Different energy converters and storages, including combined heat and power, a plug-in hybrid electric vehicle, a heat storage unit, solar panels, and generic household appliances, are considered in the energy hub. The customer's energy cost is considered as the objective of the HEM optimization problem and different operational limits of the energy hub components are modeled as the constraints. The two-point estimate method is incorporated in this paper to model the uncertainty associated with output power of the rooftop... 

    Efficiently computing the smallest axis-parallel squares spanning all colors

    , Article Scientia Iranica ; Volume 24, Issue 3 , 2017 , Pages 1325-1334 ; 10263098 (ISSN) Khanteimouri, P ; Mohades, A ; Abam, M. A ; Kazemi, M. R ; Sedighin, S ; Sharif University of Technology
    Sharif University of Technology  2017
    Abstract
    For a set of colored points, a region is called color-spanning if it contains at least one point of each color. In this paper, we first consider the problem of maintaining the smallest color-spanning interval for a set of n points with k colors on the real line, such that the insertion and deletion of an arbitrary point takes O(log2 n) the worst-case time. Then, we exploit the data structure to show that there is O(n log2 n) time algorithm to compute the smallest color-spanning square for a set of n points with k colors in the plane. This is a new way to improve O(nk log n) time algorithm presented by Abellanas et al. [1] when k = !(log n). We also consider the problem of computing the... 

    A low-power smart temperature sensor for passive UHF RFID tags and sensor nets

    , Article 2016 8th International Symposium on Telecommunications, IST 2016, 27 September 2016 through 29 September 2016 ; 2017 , Pages 12-17 ; 9781509034345 (ISBN) Ghaderi Karkani, M. R ; Kamarei, M ; Fotowat Ahmady, A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2017
    Abstract
    A low-power wide-range CMOS temperature sensor architecture is proposed for RFID and Sensor Networks based on temperature-to-frequency conversion using supply voltage controlled sub-threshold ring oscillator. The principles of operation are investigated and proved via simulation results. Most errors are canceled out by this ratio-metric design. An inaccuracy of -0.84°C to +0.34°C occurs over a range of -40°C to 80°C after using a novel in-field digital two-point calibration. The entire sensor consumes less than 93nW to 305nW over the temperature range and can be digitally reconfigured for setting sample rate and resolution in a tradeoff. © 2016 IEEE  

    Upper bounds for minimum dilation triangulation in two special cases

    , Article Information Processing Letters ; Volume 133 , 2018 , Pages 33-38 ; 00200190 (ISSN) Sattari, S ; Izadi, M ; Sharif University of Technology
    Elsevier B.V  2018
    Abstract
    Give a triangulation of a set of points on the plane, dilation of any two points is defined as the ratio between the length of the shortest path of these points and their Euclidean distance. Minimum dilation triangulation is a triangulation in which the maximum dilation between any pair of the points is minimized. We give upper bounds on the dilation of the minimum dilation triangulation for two kinds of point sets: An upper bound of nsin⁡(π/n)/2 for a centrally symmetric convex point set containing n points, and an upper bound of 1.19098 for a set of points on the boundary of a semicircle. © 2018 Elsevier B.V  

    Scaling and multiscaling behavior of the perimeter of a diffusion-limited aggregation generated by the Hastings-Levitov method

    , Article Journal of Physics Condensed Matter ; Volume 21, Issue 37 , 2009 ; 09538984 (ISSN) Mohammadi, F ; Saberi, A. A ; Rouhani, S ; Sharif University of Technology
    2009
    Abstract
    In this paper, we analyze the scaling behavior of a diffusion-limited aggregation (DLA) simulated by the Hastings-Levitov method. We obtain the fractal dimension of the clusters by direct analysis of the geometrical patterns, in good agreement with one obtained from an analytical approach. We compute the two-point density correlation function and we show that, in the large-size limit, it agrees with the obtained fractal dimension. These support the statistical agreement between the patterns and DLA clusters. We also investigate the scaling properties of various length scales and their fluctuations, related to the boundary of the cluster. We find that all of the length scales do not have a... 

    Design and fabrication of a movable langmuir probe for plasma edge parameters measurement in the IR-T1 tokamak

    , Article Journal of Fusion Energy ; Volume 28, Issue 3 , 2009 , Pages 296-299 ; 01640313 (ISSN) Shariatzadeh, R ; Ghoranneviss, M ; Emami, M ; Anvari, A ; Van Oost, G ; Sharif University of Technology
    2009
    Abstract
    For the edge plasma parameters measurement, a movable Langmuir probe is fabricated and installed on the IR-T1 tokamak. The set-up consists of two sets of single Langmuir probes with tungsten tip movable in the radial direction. Edge plasma parameters including electron temperature, Ion density, floating potential and the corresponding radial changes are measured. Using two-point correlation technique clearly reveal that in the SOL region the poloidal propagation of floating potential fluctuation is in the direction of ion diamagnetic drift and in the edge it propagates in the electron diamagnetic drift direction. © 2009 Springer Science+Business Media, LLC  

    Conjugate stresses to two-point deformation tensors

    , Article International Journal of Solids and Structures ; Volume 44, Issue 22-23 , 2007 , Pages 7457-7467 ; 00207683 (ISSN) Asghari, M ; Naghdabadi, R ; Sharif University of Technology
    2007
    Abstract
    In this paper some expressions for stresses conjugate to two-point deformation tensors are derived. These expressions are offered in both the component and basis-free forms. Although, the material time rate of a two-point deformation tensor is not an objective quantity, the stress tensor conjugate to it may be determined. The component-form expressions are obtained by using the notion of conjugacy together with the objectivity of the stress power. The component-form expressions are then extended to a unified basis-free form, using a theorem established for this purpose. The specific results are provided for all different cases of distinct and coalescent principal stretches in a...