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Investigation of brain default network's activation in autism spectrum disorders using group independent component analysis
, Article 2014 21st Iranian Conference on Biomedical Engineering, ICBME 2014 ; 2014 , p. 177-180 ; Fatemizadeh, E ; Deevband, M. R ; Sharif University of Technology
Abstract
Autism Spectrum Disorders (ADS), with unknown etiology, is one of the most understudy fields of research worldwide that requires complicated and delicate analytical study methods. The purpose of this study was to compare active regions of Brain Default Mode Network (DMN) using Group Independent Component Analysis (6ICA) among resting state patients with Autism Disorder and healthy subjects. Default Mode Network consists of posterior cingulate cortex (PCC), lateral parietal cortex/angular gyrus retrosplenial cortex, medial prefrontal cortex, superior frontal gyrus, parahippocampal gyrus and temporal lobe shows more prominent activity in passive resting conditions. The diagnosis of autism...
Design and implementation of an improved real-time tracking system for navigation surgery by fusion of optical and inertial tracking methods
, Article Applied Mechanics and Materials ; Volume 186 , 2012 , Pages 273-279 ; 16609336 (ISSN) ; 9783037854440 (ISBN) ; Farahmand, F ; Salarieh, H ; Sharif University of Technology
2012
Abstract
The fusion of the optical and inertial tracking systems seems an attractive solution to solve the shadowing problem of the optical tracking systems, and remove the time integration troubles of the inertial sensors. We developed a fusion algorithm for this purpose, based on the Kalman filter, and examined its efficacy to improve the position and orientation data, obtained by each individual system. Experimental results indicated that the proposed fusion algorithm could effectively estimate the 2 seconds missing data of the optical tracker
Multivariate variability monitoring using EWMA control charts based on squared deviation of observations from target
, Article Quality and Reliability Engineering International ; Volume 27, Issue 8 , 2011 , Pages 1069-1086 ; 07488017 (ISSN) ; Niaki, S. T. A ; Sharif University of Technology
Abstract
Recent research works have shown that control statistics based on squared deviation of observations from target have the ability to monitor variability in both univariate and multivariate processes. In the current research, the properties of the control statistic S t that has been proposed by Huwang et al. (J. Quality Technology 2007; 39:258-278) are first reviewed and three new S t-based multivariate schemes are then presented. Extensive simulation experiments are performed to compare the performances of the proposed schemes with those of the multivariate exponentially weighted mean squared deviation (MEWMS) and the L 1-norm distance of the MEWMS deviation from its expected value (MEWMSL 1)...
A much lower density for the transiting extrasolar planet WASP-7: (Research Note)
, Article Astronomy and Astrophysics ; Volume 527, Issue 1 , 2011 ; 00046361 (ISSN) ; Dominik, M ; Jørgensen, U. G ; Rahvar, S ; Snodgrass, C ; Alsubai, K ; Bozza, V ; Browne, P ; Burgdorf, M ; Novati, S. C ; Dodds, P ; Dreizler, S ; Finet, F ; Gerner, T ; Hardis, S ; Harpsøe, K ; Hellier, C ; Hinse, T. C ; Hundertmark, M ; Kains, N ; Kerins, E ; Liebig, C ; Mancini, L ; Mathiasen, M ; Penny, M.T ; Proft, S ; Ricci, D ; Sahu, K ; Scarpetta, G ; Schäfer, S ; SchOnebeck, F ; Surdej, J ; Sharif University of Technology
Abstract
We present the first high-precision photometry of the transiting extrasolar planetary system WASP-7, obtained using telescope defocussing techniques and reaching a scatter of 0.68 mmag per point. We find that the transit depth is greater and that the host star is more evolved than previously thought. The planet has a significantly larger radius (1.330 ± 0.093 RJup versus 0.915+0.046 -0.040 RJup) and much lower density (0.41 ± 0.10 pJup versus 1.26+0.25 -0.21 pJup) and surface gravity (13.4 ± 2.6ms-2 versus 26.4+4.4 -4.0 ms-2) than previous measurements showed. Based on the revised properties it is no longer an outlier in planetary mass-radius and period-gravity diagrams. We also obtain a...
Investigation of Brain Default Network's activation in autism spectrum disorders using Group Independent Component Analysis
, Article 2014 21st Iranian Conference on Biomedical Engineering, ICBME 2014, 26 November 2014 through 28 November 2014 ; Nov , 2014 , Pages 177-180 ; 9781479974177 (ISBN) ; Fatemizadeh, E ; Deevband, M. R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2014
Abstract
Autism Spectrum Disorders (ADS), with unknown etiology, is one of the most understudy fields of research worldwide that requires complicated and delicate analytical study methods. The purpose of this study was to compare active regions of Brain Default Mode Network (DMN) using Group Independent Component Analysis (6ICA) among resting state patients with Autism Disorder and healthy subjects. Default Mode Network consists of posterior cingulate cortex (PCC), lateral parietal cortex/angular gyrus retrosplenial cortex, medial prefrontal cortex, superior frontal gyrus, parahippocampal gyrus and temporal lobe shows more prominent activity in passive resting conditions. The diagnosis of autism...
A double-max MEWMA scheme for simultaneous monitoring and fault isolation of multivariate multistage auto-correlated processes based on novel reduced-dimension statistics
, Article Journal of Process Control ; Volume 29 , May , 2015 , Pages 11-22 ; 09591524 (ISSN) ; Akhavan Niaki, S. T ; Sharif University of Technology
Elsevier Ltd
2015
Abstract
In this article, a double-max multivariate exponentially weighted moving average (DM-MEWMA) chart is proposed to jointly monitor the parameters of a multivariate multistage auto-correlated (MMAP) process. While the process is assumed to work in a linear state-space form, two modified statistics are combined into a novel statistic to monitor the mean vector and the covariance matrix of the MMAP simultaneously. Besides, prior knowledge of variation propagation is used so that the chart has both a fault identification power and capability of working with the sample size of one. A statistical test shows that the two proposed statistics are independent of the process dimension. Monte Carlo...
Searching for variable stars in the cores of five metal-rich globular clusters using EMCCD observations
, Article Astronomy and Astrophysics ; Volume 573 , January , 2015 ; 00046361 (ISSN) ; Bramich, D. M ; Figuera Jaimes, R ; Jørgensen, U. G ; Kains, N ; Arellano Ferro, A ; Alsubai, K. A ; Bozza, V ; Calchi Novati, S ; Ciceri, S ; D'Ago, G ; Dominik, M ; Galianni, P ; Gu, S. H ; Harpsøe, K. B. W ; Haugbølle, T ; Hinse, T. C ; Hundertmark, M ; Juncher, D ; Korhonen, H ; Liebig, C ; Mancini, L ; Popovas, A ; Rabus, M ; Rahvar, S ; Scarpetta, G ; Schmidt, R. W ; Snodgrass, C ; Southworth, J ; Starkey, D ; Street, R. A ; Surdej, J ; Wang, X. B ; Wertz, O ; Sharif University of Technology
EDP Sciences
2015
Abstract
Aims. In this paper, we present the analysis of time-series observations from 2013 and 2014 of five metal-rich ([Fe/H] > -1) globular clusters: NGC 6388, NGC 6441, NGC 6528, NGC 6638, and NGC 6652. The data have been used to perform a census of the variable stars in the central parts of these clusters. Methods. The observations were made with the electron-multiplying charge-couple device (EMCCD) camera at the Danish 1.54m Telescope at La Silla, Chile, and they were analysed using difference image analysis to obtain high-precision light curves of the variable stars. Results. It was possible to identify and classify all of the previously known or suspected variable stars in the central regions...
Individual differences in nucleus accumbens dopamine receptors predict development of addiction-like behavior: A computational approach
, Article Neural Computation ; Volume 22, Issue 9 , 2010 , Pages 2334-2368 ; 08997667 (ISSN) ; Keramati, M. M ; Dezfouli, A ; Lucas, C ; Mokri, A ; Sharif University of Technology
2010
Abstract
Clinical and experimental observations show individual differences in the development of addiction. Increasing evidence supports the hypothesis that dopamine receptor availability in the nucleus accumbens (NAc) predisposes drug reinforcement. Here, modeling striatal-midbrain dopaminergic circuit, we propose a reinforcement learning model for addiction based on the actor-critic model of striatum. Modeling dopamine receptors in the NAc as modulators of learning rate for appetitive-but not aversive-stimuli in the critic-but not the actor-we define vulnerability to addiction as a relatively lower learning rate for the appetitive stimuli, compared to aversive stimuli, in the critic. We...
Semantic web service composition testbed
, Article Computers and Electrical Engineering ; Volume 36, Issue 5 , 2010 , Pages 805-817 ; 00457906 (ISSN) ; Habibi, J ; Rostami, H ; Abolhassani, H ; Sharif University of Technology
Abstract
A huge amount of web services are deployed on the Web, nowadays. These services can be used to fulfill online requests. Requests are getting more and more complicated over time. So, there exists a lot of frequent request that cannot be fulfilled using just one web service. For using web services, composing individual services to create the added-value composite web service to fulfill the user request is necessary in most cases. Web services can be composed manually but it is a too tedious and time consuming task. The ability of automatic web service composition to create a new composite web service is one of the key enabling features for the future for the semantic web. There are some...
Quantitative risk assessment to site CNG refuelling stations
, Article Chemical Engineering Transactions ; Volume 19 , 2010 , Pages 255-260 ; 19749791 (ISSN) ; 9788895608112 (ISBN) ; Nourai, F ; Rashtchian, D ; Sharif University of Technology
Italian Association of Chemical Engineering - AIDIC
2010
Abstract
This study considers the application of quantitative risk assessment (QRA) on the siting of compressed natural gas (CNG) stations and determining nearby land use limitations. In such cases the most important consideration is to be assured that the proposed site would not be incompatible with existing land uses in the vicinity. It is possible by the categorization of the estimated levels of individual risk (IR) which the proposed site would impose upon them. An analysis of the consequences and likelihood of credible accident scenarios coupled with acceptable risk criteria is then undertaken. This enables the IR aspects of the proposed site to be considered at an early stage to allow prompt...
Individual virtual phantom reconstruction for organ dosimetry based on standard available phantoms
, Article Iranian Journal of Radiation Research ; Volume 7, Issue 4 , 2010 , Pages 201-206 ; 23223243 (ISSN) ; Aghaeizadeh Zoroofi, R ; Tehrani Fard, A. A ; Akhlaghpoor, S ; Chen, Y. W ; Sato, Y ; Sharif University of Technology
Novim Medical Radiation Institute
2010
Abstract
Background: In nuclear medicine application often it is required to use computational methods for evaluation of organ absorbed dose. Monte Carlo simulation and phantoms have been used in many works before. The shape, size and volume in organs are varied, and this variation will produce error in dose calculation if no correction is applied. Materials and Methods: A computational framework for constructing individual phantom for dosimetry was performed on five liver CT scan data sets of Japanese normal individuals. The Zubal phantom was used as an original phantom to be adjusted by each individual data set. This registration was done by Spherical Harmonics (SH) and Thin-Plate Spline methods....
Fuzzy sliding mode control of multi-agent systems using artificial potentials
, Article ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE), 12 November 2010 through 18 November 2010, Vancouver, BC ; Volume 8, Issue PARTS A AND B , 2010 , Pages 901-909 ; 9780791844458 (ISBN) ; Mortazavi, J ; Alasty, A ; Sayyaadi, H ; Sharif University of Technology
Abstract
In this paper a fuzzy control strategy of autonomous multiagent systems is presented. The main purpose is to obtain an improvement on the results of designed sliding mode controllers in previous articles using supervisory fuzzy controller. Similarly, a quasi-static swarm model in ndimensional space is introduced wherein the inter-individual interactions are based on artificial potential functions; and the motions of members are in direction with the negative gradient of the combined potentials which are the result of a balance between inter-individual interactions and the simultaneous interactions of the swarm members with their environment. Then a general model for vehicle dynamics of each...
Toward a solution to multi-agent credit assignment problem
, Article SoCPaR 2009 - Soft Computing and Pattern Recognition, 4 December 2009 through 7 December 2009, Malacca ; 2009 , Pages 563-568 ; 9780769538792 (ISBN) ; Beigy, H ; Sharif University of Technology
Abstract
Multi-agent systems (MAS) try to formulate dynamic world which surround human being in every aspect of his life. One of the important challenges encountered in multiagent systems is the credit assignment problem, simply means distributing the result of the work of a group of agents, such that every agent will have the capability of individual learning. This paper presents the result of a solution suggested for multi-agent credit assignment problem. With the help of observing history of credit assignment in the environment, we will understand what actions are reward-deserving. Results are reported on a multi agent domain, addition agents. © 2009 IEEE
A multi-view-group non-negative matrix factorization approach for automatic image annotation
, Article Multimedia Tools and Applications ; 2017 , Pages 1-21 ; 13807501 (ISSN) ; Jamzad, M ; Sharif University of Technology
Abstract
In automatic image annotation (AIA) different features describe images from different aspects or views. Part of information embedded in some views is common for all views, while other parts are individual and specific. In this paper, we present the Mvg-NMF approach, a multi-view-group non-negative matrix factorization (NMF) method for an AIA system which considers both common and individual factors. The NMF framework discovers a latent space by decomposing data into a set of non-negative basis vectors and coefficients. The views divided into homogeneous groups and latent spaces are extracted for each group. After mapping the test images into these spaces, a unified distance matrix is...
AdAM: adaptive approximation management for the non-volatile memory hierarchies
, Article 018 Design, Automation and Test in Europe Conference and Exhibition, DATE 2018; International Congress Center DresdenDresden ; Volume 2018-January , April , 2018 , Pages 785-790 ; 9783981926316 (ISBN) ; Hanif, M. A ; Ejlali, A ; Shafique, M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2018
Abstract
Existing memory approximation techniques focus on employing approximations at an individual level of the memory hierarchy (e.g., cache, scratchpad, or main memory). However, to exploit the full potential of approximations, there is a need to manage different approximation knobs across the complete memory hierarchy. Towards this, we model a system including STT-RAM scratchpad and PCM main memory with different approximation knobs (e.g., read/write pulse magnitude/duration) in order to synergistically trade data accuracy for both STT-RAM access delay and PCM lifetime by means of an integer linear programming (ILP) problem at design-time. Furthermore, a runtime algorithm is proposed to...
A surrogate optimization-based mechanism for resource allocation and routing in networks with strategic agents
, Article IEEE Transactions on Automatic Control ; Volume 64, Issue 2 , 2019 , Pages 464-479 ; 00189286 (ISSN) ; Golestani, S. J ; Teneketzis, D ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
We consider a mechanism design problem for the joint flow control and multipath routing in informationally decentralized networks with strategic agents. Based on a surrogate optimization approach, we propose an incentive mechanism that strongly implements the social-welfare maximizing outcome in Nash equilibria. This mechanism possesses several other desirable properties, including individual rationality and budget balance at equilibrium. More importantly, in contrast to the existing literature on the network resource allocation mechanisms, the proposed mechanism is dynamically stable, meaning that the Nash equilibrium (NE) of the game induced by the mechanism can be learned by the agents in...
Hybrid anisotropic pentamode mechanical metamaterial produced by additive manufacturing technique
, Article Applied Physics Letters ; Volume 117, Issue 6 , 2020 ; Movahhedy, M. R ; Shishkovsky, I ; Hedayati, R ; Sharif University of Technology
American Institute of Physics Inc
2020
Abstract
Pentamode metamaterials are a type of extremal designer metamaterials, which are able to demonstrate extremely high rigidity in one direction and extremely high compliance in other directions. Pentamodes can, therefore, be considered as building blocks of exotic materials with any arbitrarily selected thermodynamically admissible elasticity tensor. The pentamode lattices can then be envisioned to be combined to construct intermediate extremal materials, such as quadramodes, trimodes, and bimodes. In this study, we constructed several primary types of anisotropic pentamode lattices (with midpoint positioning of 10%, 15%, 20%, 25%, 30%, 35%, and 42% of the main unit cell diagonal) and then...
Spatial and temporal joint, partially-joint and individual sources in independent component analysis: Application to social brain fMRI dataset
, Article Journal of Neuroscience Methods ; Volume 329 , 2020 ; Shamsollahi, M. B ; Sharif University of Technology
Elsevier B.V
2020
Abstract
absectionBackground Three types of sources can be considered in the analysis of multi-subject datasets: (i) joint sources which are common among all subjects, (ii) partially-joint sources which are common only among a subset of subjects, and (iii) individual sources which belong to each subject and represent the specific conditions of that subject. Extracting spatial and temporal joint, partially-joint, and individual sources of multi-subject datasets is of significant importance to analyze common and cross information of multiple subjects. New method: We present a new framework to extract these three types of spatial and temporal sources in multi-subject functional magnetic resonance...
PBN-Based time-optimal terminal air traffic control using cellular automata
, Article IEEE Transactions on Aerospace and Electronic Systems ; Volume 57, Issue 3 , 2021 , Pages 1513-1523 ; 00189251 (ISSN) ; Amiri Atashgah, M. A ; Malaek, S. M. B ; Thulasiraman, P ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Over the last decade, there has been an increase in air transportation, which has raised awareness to provide necessary procedures to respond to air transportation demands and reduce delay costs. One such procedure, 'performance-based navigation (PBN),' currently studied, is expected to increase the airspace capacity based on aircraft's individual performances. This research describes an efficient and expandable model for allocating standard terminal arrival route during continuous descent approach (CDA) that effectively uses PBN requirements. As a case study, we have considered the 'Atlanta International Airport' and verified the model's accuracy using real-time traffic data. The model is...
Multivariate Process Variability Monitoring Improvements
, Ph.D. Dissertation Sharif University of Technology ; Akhavan Niaki, Taghi (Supervisor)
Abstract
We consider finding some efficient control schemes for multivariate variability monitoring with capability of working with individual observations. To do this, the existing efficient control charts for multivariate variability monitoring are studied first and it is determined that the and control statistics, defined by individual observations, estimate the covariance matrix quite well. However, the control method that is based on monitoring the trace of these matrices is not necessarily the best. Thus, by applying the first and the second norm on these two statistics, four new control schemes, namely MEWMSL1, MEWMVL1, MEWMVL1 and MEWMVL2are proposed. Performance comparison results show...