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    Evaluation of FT-IR spectroscopy combined with SIMCA and PLS‑DA for detection of adulterants in pistachio butter

    , Article Infrared Physics and Technology ; Volume 127 , 2022 ; 13504495 (ISSN) Khanban, F ; Bagheri Garmarudi, A ; Parastar, H ; Toth, G ; Sharif University of Technology
    Elsevier B.V  2022
    Abstract
    This work scrutinized the adulteration of pistachio butter with three potential edible oils using Fourier transform infrared spectroscopy (FT-IR) and multivariate classification methods. Each of the classes, including non-adulterated samples and adulterated samples consisting of pistachio butter mixed with various concentrations of peanut oil, corn oil and sunflower oil, were classified. For this purpose, multivariate methods, including soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA), were applied to classify the FTIR data. After evaluating the model on unknown samples, the results indicated that PLS-DA was better than the SIMCA... 

    Extension of particle filters for time-varying target presence through split and raw measurements

    , Article IET Radar, Sonar and Navigation ; Volume 7, Issue 5 , 2013 , Pages 517-526 ; 17518784 (ISSN) Danaee, M. R ; Behnia, F ; Sharif University of Technology
    2013
    Abstract
    Target tracking through particle filter (PF) for time-varying presence of a target is compared for thresholded and nonthresholded measurements, where in both cases a track produces more than one measurement. To that end, thresholded split measurements PF along with non-thresholded measurements, sequential importance resampling PF (SIR PF) and auxiliary variable PF (AV PF) are extended to cope with time-varying target presence. Simulations show superiorities in working through non-thresholded measurements. Furthermore, they surprisingly demonstrate that non-thresholded measurements SIR PF leads to less root-mean-square position estimation error than non-thresholded measurements AV PF in case... 

    A quantitative structure-property relationship for determination of enthalpy of fusion of pure compounds

    , Article Journal of Thermal Analysis and Calorimetry ; Volume 109, Issue 1 , June , 2012 , Pages 501-506 ; 13886150 (ISSN) Gharagheizi, F ; Gohar, M. R. S ; Vayeghan, M. G ; Sharif University of Technology
    2012
    Abstract
    In this study, the quantitative structure-property relationship method is applied to predict the enthalpy of fusion of pure chemical compounds at their normal melting point. A genetic algorithm-based multivariate linear regression is used to select the most statistically effective molecular descriptors for evaluating this property. To propose a comprehensive and predictive model, 3,846 pure chemical compounds are investigated. The root mean square of error and the average absolute deviation of the model are equal to 2.57 kJ/mol and 9.7%  

    Finding protein active sites using approximate sub-graph isomorphism

    , Article 2011 1st Middle East Conference on Biomedical Engineering, MECBME 2011, Sharjah, 21 February 2011 through 24 February 2011 ; 2011 , Pages 432-435 ; 9781424470006 (ISBN) Dezfouli, M. E. A ; Arab, S. S ; Fatemizadeh, E ; Hosseynimanesh, N ; Sharif University of Technology
    2011
    Abstract
    Prediction of the amino acids that have a catalytic effect on the enzymes is a major stage in appointing the activity of the enzymes and classification. The biological activity of a protein usually depends on the existence of a small number of amino acids. Recently, many algorithms have been proposed in the literature for finding these amino acids which are complex and time consuming. In this paper, we will introduce a new method for predicting the active sites that will use the spatial coordinates and the type of amino acids that contain the active sites. In order to increase the speed we use an approximate graph isomorphism algorithm. Furthermore, this algorithm allows us to find several... 

    Prediction of standard enthalpy of combustion of pure compounds using a very accurate group-contribution-based method

    , Article Energy and Fuels ; Volume 25, Issue 6 , April , 2011 , Pages 2651-2654 ; 08870624 (ISSN) Gharagheizi, F ; Mirkhani, S. A ; Tofangchi Mahyari, A. R ; Sharif University of Technology
    2011
    Abstract
    The artificial neural network-group contribution (ANN-GC) method is applied to estimate the standard enthalpy of combustion of pure chemical compounds. A total of 4590 pure compounds from various chemical families are investigated to propose a comprehensive and predictive model. The obtained results show the squared correlation coefficient (R 2) of 0.999 99, root mean square error of 12.57 kJ/mol, and average absolute deviation lower than 0.16% for the estimated properties from existing experimental values  

    Inter-symbol-interference reduction in indoor infrared systems by effective sampling

    , Article Proceedings - 2009 International Conference on Future Computer and Communication, ICFCC 2009, 3 April 2009 through 5 April 2009, Kuala Lumpar ; 2009 , Pages 42-46 ; 9780769535913 (ISBN) Hassanzadeh, M. R ; Mansouri Rad, M. M ; Sharif University of Technology
    2009
    Abstract
    A new and simple receiver structure for reducing the multipath inter-symbole interference (ISI) effect is proposed for infrared diffuse links. In this new method, bit-error rate (BER) performance of the system will be improved significantly without any essential change in the receiver structure. In our analysis, all major noise sources such as ambient light, signal shotnoise, dark current and thermal noise of the receiver are considered. © 2009 IEEE  

    Prediction of Protein Ligand Binding Affinity Using Deep Networks

    , M.Sc. Thesis Sharif University of Technology Gholamzadeh Lanjavi, Atena (Author) ; Kalhor, Hamid Reza (Supervisor) ; Motahhari, Abolfazl (Co-Supervisor)
    Abstract
    Protein-ligand binding affinity is extremely important for finding new candidates in drug discovery and computational biochemistry. One of the physical characteristics for protein ligand interactions has been dissociation constant (KD) which can be obtain experimentally. However, there have been tremendous efforts to predict KD using modeling and computational approaches for protein-ligand interactions. In this project, we have exploited Convolutional Neural Network (CNN) model based on KDeep design, PDBBind version 2016 refined set training data, and examining it with KDeep core set test data. In order to modify KDeep,instead of 24 rotations (0, 90, 180 and 270 degrees in selection of two... 

    Manipulation of biomolecules: A molecular dynamics study

    , Article Current Applied Physics ; Volume 14, Issue 9 , September , 2014 , Pages 1216-1227 ; ISSN: 15671739 Mahdjour Firouzi, M. A ; Nejat Pishkenari, H ; Mahboobi, S. H ; Meghdari, A ; Sharif University of Technology
    Abstract
    With the rapid progression of bionanorobotics, manipulation of nano-scale biosamples is becoming increasingly attractive for different biological purposes. Nevertheless, the interaction between a robotic probe and a biological sample is poorly understood and the conditions for appropriate handling is not well-known. Here, we use the molecular dynamics (MD) simulation method to investigate the manipulation process when a nanoprobe tries to move a biosample on a substrate. For this purpose, we have used Ubiquitin (UBQ) as the biomolecule, a single-walled carbon nanotube (SWCNT) as the manipulation probe, and a double-layered graphene sheets as the substrate. A series of simulations were... 

    Calculation of VVER-1000 reactor scaling factor for inference of core barrel motion

    , Article Annals of Nuclear Energy ; Vol. 63 , 2014 , pp. 205-208 ; ISSN: 03064549 Fallah, V. F ; Vosoughi, N ; Sharif University of Technology
    Abstract
    To quantify the core barrel motion (CBM) in a pressurized water reactor, a scaling factor can be calculated to convert the Root Mean Square (RMS) value of the ex-core signals (%) to the core barrel motion amplitude (mil) (Thompson et al., 1980). In the current paper, a scaling factor is calculated using the direct and adjoint methods for a typical VVER-1000 reactor. The scaling factor is calculated using the perturbed parameters that result from CBM. The results show that the calculated scaling factors are not the same in one and two-dimensional modeling, and strongly depend on the ex-core detector location. The linearity assumption of relative detector response versus the small displacement... 

    Prediction of reaction force on external indenter in cell injection experiment using support vector machine technique

    , Article ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) ; Volume 2 , 2012 , Pages 537-543 ; 9780791845189 (ISBN) Abbasi, A. A ; Ahmadian, M. T ; Sharif University of Technology
    2012
    Abstract
    Evaluation of the reaction force on a tool which is used for exertion of force on biomaterials such as biological cells or soft tissues has applications in virtual reality based medical simulators or haptic tools. In this study, two least square based support vector machine (SVM) models have been constructed to predict the indentation or reaction force on mouse oocyte and embryo cells in cell injection experiment. Inputs of these two models are geometrical parameters of indented cell, namely dimple radius (a), dimple depth (w) and radius of the semicircular curve (R). Experimental data for calibration and prediction of the models have been captured from literatures. The performance of the... 

    Indoor ultrawideband propagation modelling using Chebyshev interpolation in 60 GHz band based on ray tracing technique

    , Article Conference on Millimeter-Wave and Terahertz Technologies, MMWaTT, 30 December 2014 through 1 January 2015 ; Volume 2015-March , December-January , 2015 ; 21570965 (ISSN) ; 9781479965915 (ISBN) Boozari, M ; Shishegar, A. A ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2015
    Abstract
    An efficient ray tracing technique for channel modeling of an ultrawideband signal in 60 GHz band is introduced. In the usual method, field calculations at many frequencies must be done where has a high computational cost. We have introduced a novel method using Chebyshev polynomials interpolation to reduce the computational cost. Some propagation parameters such as gain and root mean square (RMS) delay spread are obtained and compared to the other method  

    A meshless method to simulate interactions between large soft tissue and a surgical grasper

    , Article Scientia Iranica ; Volume 23, Issue 1 , 2016 , Pages 295-300 ; 10263098 (ISSN) Saghaei Nooshabadi, Z ; Abdi, E ; Farahmand, F ; Narimani, R ; Chizari, M ; Sharif University of Technology
    Sharif University of Technology  2016
    Abstract
    Realistic simulation of tool-tissue interactions can help to develop more effective surgical training systems and simulators. This study uses a finite element and meshless modeling approach to simulate the grasping procedure of a large intra-abdominal organ, i.e. a kidney, during laparoscopic surgery. Results indicate that the accuracy of the meshless method is comparable with that of the finite element method, with root mean square errors in the range of 0.8 to 2.3 mm in different directions. For the model presented in this study, the computational cost of the meshless method was much less than that of the finite element model  

    Local density variation of gold nanoparticles in aquatic environments

    , Article Physica E: Low-Dimensional Systems and Nanostructures ; Volume 84 , 2016 , Pages 489-497 ; 13869477 (ISSN) Hosseinzadeh, F ; Shirazian, F ; Shahsavari, R ; Khoei, A. R ; Sharif University of Technology
    Elsevier  2016
    Abstract
    Gold (Au) nanoparticles are widely used in diagnosing cancer, imaging, and identification of therapeutic methods due to their particular quantum characteristics. This research presents different types of aqueous models and potentials used in TIP3P, to study the effect of the particle size and density of Au clusters in aquatic environments; so it can be useful to facilitate future investigation of the interaction of proteins with Au nanoparticles. The EAM potential is used to model the structure of gold clusters. It is observed that in the systems with identical gold/water density and different cluster radii, gold particles are distributed in aqueous environment almost identically. Thus, Au... 

    Liquid-Liquid equilibrium data, density, viscosity, and interfacial tension of ternary system (Toluene-Acetic Acid-Water) at 298.15 K: Experiment and correlation

    , Article Journal of Chemical and Engineering Data ; Volume 62, Issue 12 , 2017 , Pages 4133-4143 ; 00219568 (ISSN) Memari, M ; Molaei Dehkordi, A ; Seifkordi, A. A ; Sharif University of Technology
    Abstract
    Liquid-liquid equilibrium (LLE) data, density, viscosity, and interfacial tension for the ternary system of toluene-acetic acid-water were measured at 298.15 K and 101.7 kPa. The Othmer-Tobias and the Hand correlations were used to check the reliability of the experimental tie-lines. Moreover, the distribution coefficient and the separation factor were explored. It was found from the experimental results that a maximum separation factor value happens at an acetic acid mass fraction of 0.02 in the organic phase. Density, viscosity, and interfacial tension were correlated using the appropriate correlations such that the predicted results have excellent agreement with the experimental data. The... 

    Digital quantum estimation

    , Article Physical Review Letters ; Volume 119, Issue 20 , 2017 ; 00319007 (ISSN) Hassani, M ; Macchiavello, C ; Maccone, L ; Sharif University of Technology
    Abstract
    Quantum metrology calculates the ultimate precision of all estimation strategies, measuring what is their root-mean-square error (RMSE) and their Fisher information. Here, instead, we ask how many bits of the parameter we can recover; namely, we derive an information-theoretic quantum metrology. In this setting, we redefine "Heisenberg bound" and "standard quantum limit" (the usual benchmarks in the quantum estimation theory) and show that the former can be attained only by sequential strategies or parallel strategies that employ entanglement among probes, whereas parallel-separable strategies are limited by the latter. We highlight the differences between this setting and the RMSE-based... 

    Fabrication, characterization, and error mitigation of non-flat sun sensor

    , Article Sensors and Actuators, A: Physical ; Volume 261 , 2017 , Pages 243-251 ; 09244247 (ISSN) Yousefian, P ; Durali, M ; Rashidian, B ; Jalali, M. A ; Sharif University of Technology
    Abstract
    We report the design, fabrication and error analysis of a sun sensor array composed of six photodiodes. The sensor estimates the direction of the sun using a linear least squares method. The performance of the sensor is deteriorated by three major sources: fabrication errors, scattered environmental light, and inexact modeling of photodiodes. Using a calibration procedure and modeling the uniform component of the environmental light, we mitigate the first two errors and significantly reduce root mean squared error from 2.63° to 0.83°. For a Field of View (FOV) of 110°, the maximum estimation error also drops from 3.8° to 1.6°. Through exact mathematical modeling of photodiodes, we... 

    Quantitative evaluation of parameters affecting the accuracy of Microsoft Kinect in GAIT analysis

    , Article 2016 23rd Iranian Conference on Biomedical Engineering and 2016 1st International Iranian Conference on Biomedical Engineering, ICBME 2016, 23 November 2016 through 25 November 2016 ; 2017 , Pages 306-311 ; 9781509034529 (ISBN) Jamali, Z ; Behzadipour, S ; Sharif University of Technology
    Abstract
    To date various commercial systems have been used in the GAIT analysis. These systems have some difficulties for clinical use, such as interfering with normal movement and high prices. The possibility of utilization of Kinect as a sensor for GAIT analysis has been studied in this research. The accuracy of Kinect in calculation of GAIT parameters such as lower limb joint angles, stride time, and stride length were computed during normal walking. The effects of the sensor's position and direction relative to the walkway were also investigated. The Kinect sensor was installed at different positions toward the motion path. In each position the data was recorded by both Kinect and a commercial... 

    A combined passive and active musculoskeletal model study to estimate L4-L5 load sharing

    , Article Journal of Biomechanics ; 2017 ; 00219290 (ISSN) Azari, F ; Arjmand, N ; Shirazi Adl, A ; Rahimi Moghaddam, T ; Sharif University of Technology
    Elsevier Ltd  2017
    Abstract
    A number of geometrically-detailed passive finite element (FE) models of the lumbar spine have been developed and validated under in vitro loading conditions. These models are devoid of muscles and thus cannot be directly used to simulate in vivo loading conditions acting on the lumbar joint structures or spinal implants. Gravity loads and muscle forces estimated by a trunk musculoskeletal (MS) model under twelve static activities were applied to a passive FE model of the L4-L5 segment to estimate load sharing among the joint structures (disc, ligaments, and facets) under simulated in vivo loading conditions. An equivalent follower (FL), that generates IDP equal to that generated by muscle... 

    A combined passive and active musculoskeletal model study to estimate L4-L5 load sharing

    , Article Journal of Biomechanics ; Volume 70 , March , 2018 , Pages 157-165 ; 00219290 (ISSN) Azari, F ; Arjmand, N ; Shirazi Adl, A ; Rahimi Moghaddam, T ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    A number of geometrically-detailed passive finite element (FE) models of the lumbar spine have been developed and validated under in vitro loading conditions. These models are devoid of muscles and thus cannot be directly used to simulate in vivo loading conditions acting on the lumbar joint structures or spinal implants. Gravity loads and muscle forces estimated by a trunk musculoskeletal (MS) model under twelve static activities were applied to a passive FE model of the L4-L5 segment to estimate load sharing among the joint structures (disc, ligaments, and facets) under simulated in vivo loading conditions. An equivalent follower (FL), that generates IDP equal to that generated by muscle... 

    Wideband two dimensional interferometric direction finding algorithm using base-triangles and a proposed minimum planar array

    , Article AEU - International Journal of Electronics and Communications ; Volume 105 , 2019 , Pages 163-170 ; 14348411 (ISSN) Mollai, S ; Farzaneh, F ; Sharif University of Technology
    Elsevier GmbH  2019
    Abstract
    In wideband interferometric direction finding ambiguity is inevitable due to practical antenna array dimensions. A new algorithm for wideband interferometer direction finding is developed to resolve the ambiguity problem with minimum number of antennas. The method is based on direction finding by three antennas arranged at the three vertices of a triangle named the base-triangle. A two dimensional matrix of ambiguous angles is generated. The ambiguity problem is resolved by an auxiliary base-triangle formed by a fourth antenna in the arrangement. The common angle between the two ambiguous directions derived from the two base-triangles, is the desired angle. As such a four antenna array is...