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    Historiographical map of Iranian engineering scientific publications during 1939-2011

    , Article International Journal of Information Science and Management ; Volume 11, Issue 2 , 2013 , Pages 1-24 ; 20088302 (ISSN) Saghafi, S ; Asadi, M ; Osareh, F ; Sharif University of Technology
    Bibliometric, and scientometric approaches are used to provide appropriate tools for evaluating scientific products at local, national, and international levels. Iran, the same as other countries, has many universities and research centers in the field of engineering that Iran's most of the scientific products account for the field of engineering. This study is a descriptive approach using scientometric methods. is The present paper mainly focuses on visualizing the structure of the Iranian scientific publications in the field of engineering indexed in Thomson Reuters (ISI) accessible via WoS during 1939-2011. To draw the historiographical map of Iranian scientific outputs in the field of... 

    SFAVD: Sharif farsi audio visual database

    , Article IKT 2013 - 2013 5th Conference on Information and Knowledge Technology, Shiraz, Iran ; 2013 , Pages 417-421 ; 9781467364904 (ISBN) Naraghi, Z ; Jamzad, M ; Sharif University of Technology
    With increasing use of computers in everyday life, improved communication between machines and human is needed. To make a right communication and understand a humankind face which is made in a graphical environment, implementing the audio and visual projects like lip reading, audio and visual speech recognition and lip making are needed. Lack of a complete audio and visual database for this application in Farsi language made us provide a new complete Farsi database for this project that is called SFAVD. It is a unique audio and visual database which in addition to considering Farsi conceptual and speech structure, it considers influence of speech on lip changes. This database is created for... 

    Visual acuity classification using single trial visual evoked potentials

    , Article Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, 2 September 2009 through 6 September 2009 ; 2009 , Pages 982-985 ; 9781424432967 (ISBN) Hajipour, S ; Shamsollahi, M. B ; Abootalebi, V ; Sharif University of Technology
    Several researches have been done to identify visual system characteristics. Some of them are based on the processing of the brain signal recordings. Visual evoked potentials (VEPs) are electrical signals which are produced in response to the visual stimuli and recorded by means of electrodes placed on the head. These signals are usually characterized by the amplitude and latency of their peaks. Different types of visual stimuli and visual system characteristics can affect the shape and hence the characteristics of VEPs. In this paper, proper visual stimuli were used and VEPs were recorded in order to classify visual acuity. To achieve this goal, visual evoked potentials were recorded and... 

    Experimental and theoretical study on spray behaviors of modified bio-ethanol fuel employing direct injection system

    , Article Thermal Science ; Volume 21 , 2017 , Pages 475-488 ; 03549836 (ISSN) Ghahremani, A ; Ahari, M ; Jafari, M ; Saidi, M. H ; Hajinezhad, A ; Mozafari, A ; Sharif University of Technology
    One of the key solutions to improve engine performance and reduce exhaust emissions of internal combustion engines is direct injection of bio-fuels. A new modified bio-ethanol is produced to be substituted by fossil fuels in gasoline direct injection engines. The key advantages of modified bio-ethanol fuel as an alternative fuel are higher octane number and oxygen content, a long-chain hydro-carbon fuel, and lower emissions compared to fossil fuels. In the present study spray properties of a modified bio-ethanol and its atomization behaviors have been studied experimentally and theoretically. Based on atomization physics of droplets dimensional analysis has been performed to develop a new... 

    Holistic performance management of virtual teams in third-party logistics environments

    , Article Team Performance Management ; Volume 24, Issue 3-4 , 2018 , Pages 186-202 ; 13527592 (ISSN) Eaidgah, Y ; Abdekhodaee, A ; Najmi, M ; Arab Maki, A ; Sharif University of Technology
    Emerald Group Publishing Ltd  2018
    Purpose: The purpose of this paper is to investigate the use of an integrated approach for performance improvement of virtual teams (VTs) in third-party logistics (3PL) through the integration of performance management (PM), visual management (VM) and continuous improvement (CI) initiatives into one coherent system. The paper will also propose a methodological framework to establish such a system. The intended integrated system is called as integrated visual management (IVM) throughout this paper. Design/methodology/approach: This research is based on a case study that took place in a 3PL context with 19 VTs of different sizes spread across Australia. Many major 3PL companies provide their... 

    The visual object tracking VOT2013 challenge results

    , Article Proceedings of the IEEE International Conference on Computer Vision ; 2013 , Pages 98-111 ; 9781479930227 (ISBN) Kristan, M ; Pflugfelder, R ; Leonardis, A ; Matas, J ; Porikli, F ; Čehovin, L ; Nebehay, G ; Fernandez, G ; Vojíř, T ; Gatt, A ; Khajenezhad, A ; Salahledin, A ; Soltani-Farani, A ; Zarezade, A ; Petrosino, A ; Milton, A ; Bozorgtabar, B ; Li, B ; Chan, C. S ; Heng, C ; Ward, D ; Kearney, D ; Monekosso, D ; Karaimer, H. C ; Rabiee, H. R ; Zhu, J ; Gao, J ; Xiao, J ; Zhang, J ; Xing, J ; Huang, K ; Lebeda, K ; Cao, L ; Maresca, M. E ; Lim, M. K ; ELHelw, M ; Felsberg, M ; Remagnino, P ; Bowden, R ; Goecke, R ; Stolkin, R ; Lim, S. Y. Y ; Maher, S ; Poullot, S ; Wong, S ; Satoh, S ; Chen, W ; Hu, W ; Zhang, X ; Li, Y ; Niu, Z ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2013
    Visual tracking has attracted a significant attention in the last few decades. The recent surge in the number of publications on tracking-related problems have made it almost impossible to follow the developments in the field. One of the reasons is that there is a lack of commonly accepted annotated data-sets and standardized evaluation protocols that would allow objective comparison of different tracking methods. To address this issue, the Visual Object Tracking (VOT) workshop was organized in conjunction with ICCV2013. Researchers from academia as well as industry were invited to participate in the first VOT2013 challenge which aimed at single-object visual trackers that do not apply... 

    A fuzzy learning model for retrieving and learning information in visual working brain memory mechanism

    , Article 2017 25th Iranian Conference on Electrical Engineering, ICEE 2017, 2 May 2017 through 4 May 2017 ; 2017 , Pages 61-64 ; 9781509059638 (ISBN) Tajrobehkar, M ; Bagheri Shouraki, S ; Jahed, M ; Sharif University of Technology
    In this investigation, the idea of Visual Working Memory (VWM) mechanism modeling based on versatile fuzzy method; Active Learning method, is presented. Visual information process; retrieving and learning rely on the use of Ink Drop Spread (IDS) and Center of Gravity (COG) as spatial density convergence operators. IDS modeling is characterized by processing that uses intuitive pattern information instead of complex formulas, and it is capable of stable and fast convergence. Furthermore, because it approves that distortion in retrieving irrelative data is adaptive to avoid storing lots of repetitive external information in daily visualization. Subsequently, this distortion is analyzed via two... 

    Brain waves evaluation of sound therapy in chronic subjective tinnitus cases using wavelet decomposition

    , Article Frontiers in Integrative Neuroscience ; Volume 12 , 2018 ; 16625145 (ISSN) Asadpour, A ; Jahed, M ; Mahmoudian, S ; Sharif University of Technology
    Frontiers Media S.A  2018
    Management and treatment of subjective tinnitus is an ongoing focus of research activities. One of the most viable assessments of such treatment is the evaluation of brain activity in addition to patient response and clinical assessment. This study focuses on sound therapy and evaluation of patients’ electroencephalogram (EEG) in order to verify the potency of this approach. Broadband sound therapy was applied to nineteen participants aging from 25 to 64 and suffering from chronic subjective tinnitus to study the difference of brain activity, a) before fake treatment, b) after fake treatment and c) after the main treatment, using EEG and Visual Analog Scale (VAS) for evaluating Residual... 

    The argus-II retinal prosthesis implantation; from the global to local successful experience

    , Article Frontiers in Neuroscience ; Volume 12, Issue SEP , 2018 ; 16624548 (ISSN) Farvardin, M ; Afarid, M ; Attarzadeh, A ; Johari, M. K ; Mehryar, M ; Nowroozzadeh, M. H ; Rahat, F ; Peyvandi, H ; Farvardin, R ; Nami, M ; Sharif University of Technology
    Over the past few years, visual prostheses (namely, Argus II retinal implant) and gene therapy have obtained FDA approval in treating blindness resulting from retinitis pigmentosa. Compared to gene therapy; Argus II is less costly with a demonstrated favorable outcome, though the vision is yet artificial. To obtain better results, expectation counseling and preoperative retinal assessment are critical. The global experience with Argus II has enrolled no more than 300 cases so far. The first Argus II retinal prosthesis in Iran was successfully implanted in Shiraz (October 2017). To date, Argus II artificial retina is implanted in four patients in Iran. Beside successful surgery and... 

    Accuracy Improvement of Vision-Aided Gyroscope using Convolutional Neural Network

    , M.Sc. Thesis Sharif University of Technology Shadravan, Shayan (Author) ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
    The growth of the knowledge of image processing and machine vision in recent years has led to many applications in various fields. One of the most important applications in machine vision is automotive navigation of vehicles and robots. The effective use of visual sensors to detect obstacles, routing, detecting the position of the robot, and mapping the environment is one of the most important goals in ground robotics. Few methods using sensors such as accelerometers, gyroscopes and global positioning systems, suffer from problems such as high costs, accumulative errors, dependencies on external systems, and the inability to be used in closed spaces. But with the use of the visual sensors,... 

    Rotation periods and astrometric motions of the Luhman 16AB brown dwarfs by high-resolution lucky-imaging monitoring

    , Article Astronomy and Astrophysics ; Volume 584 , 2015 ; 00046361 (ISSN) Mancini, L ; Giacobbe, P ; Littlefair, S. P ; Southworth, J ; Bozza, V ; Damasso, M ; Dominik, M ; Hundertmark, M ; Jørgensen, U. G ; Juncher, D ; Popovas, A ; Rabus, M ; Rahvar, S ; Schmidt, R. W ; Skottfelt, J ; Snodgrass, C ; Sozzetti, A ; Alsubai, K ; Bramich, D. M ; Calchi Novati, S ; Ciceri, S ; D'Ago, G ; Figuera Jaimes, R ; Galianni, P ; Gu, S. H ; Harpsøe, K ; Haugbølle, T ; Henning, Th ; Hinse, T. C ; Kains, N ; Korhonen, H ; Scarpetta, G ; Starkey, D ; Surdej, J ; Wang, X. B ; Wertz, O ; Sharif University of Technology
    EDP Sciences  2015
    Context. Photometric monitoring of the variability of brown dwarfs can provide useful information about the structure of clouds in their cold atmospheres.The brown-dwarf binary system Luhman 16AB is an interesting target for such a study, because its components stand at the L/T transition and show high levels of variability. Luhman 16AB is also the third closest system to the solar system, which allows precise astrometric investigations with ground-based facilities. Aims. The aim of the work is to estimate the rotation period and study the astrometric motion of both components. Methods. We have monitored Luhman 16AB over a period of two years with the lucky-imaging camera mounted on the... 

    A novel hybrid BCI speller based on RSVP and SSVEP paradigm

    , Article Computer Methods and Programs in Biomedicine ; Volume 187 , April , 2020 Jalilpour, S ; Hajipour Sardouie, S ; Mijani, A ; Sharif University of Technology
    Elsevier Ireland Ltd  2020
    Background and objective: Steady-state visual evoked potential (SSVEP) and rapid serial visual presentation (RSVP) are useful methods in the brain-computer interface (BCI) systems. Hybrid BCI systems that combine these two approaches can enhance the proficiency of the P300 spellers. Methods: In this study, a new hybrid RSVP/SSVEP BCI is proposed to increase the classification accuracy and information transfer rate (ITR) as compared with the other RSVP speller paradigms. In this paradigm, RSVP (eliciting a P300 response) and SSVEP stimulations are presented in such a way that the target group of characters is identified by RSVP stimuli, and the target character is recognized by SSVEP stimuli.... 

    Effect of Reward Training on Visual Representation of Objects in the Brain

    , M.Sc. Thesis Sharif University of Technology Sharifi, Kiomars (Author) ; Ghazizadeh, Ali (Supervisor)
    Sight is probably our most important sense. Every day, humans are exposed to many visual stimuli in their surroundings. The human brain is able to identify and prioritize important and valuable stimuli and memorize them. Identifying and remembering these valuable stimuli is vital to meeting the needs and maintaining survival. The aim of the proposed research is to find the effect of reward learning on the coding of visual objects in the human brain. Previous results have shown that long-term reward-object association make valuable objects more recognizable behaviorally. Studies have also shown that visual stimuli and the pattern of activity of primary visual cortex neurons are closely... 

    Detection of sustained auditory attention in students with visual impairment

    , Article 27th Iranian Conference on Electrical Engineering, ICEE 2019, 30 April 2019 through 2 May 2019 ; 2019 , Pages 1798-1801 ; 9781728115085 (ISBN) ; Detection of sustained auditory attention in students with visual impairment Ghasemy, H ; Momtazpour, M ; Hajipour Sardouie, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2019
    The efficiency of a learning process directly depends on how well the students are attentive. Detecting the level of attention can help to improve the learning quality. In recent years, there have been several attempts to leverage EEG signal processing as a tool to detect whether a student is attentive or not. In such work, the level of attention is determined by analyzing the EEG power spectrum, which is mostly followed by machine learning approaches. However, the efficiency of such methods for detecting auditory attention of blind or visually-impaired students has not been analyzed. This study aims to investigate such a scenario. To this end, we propose an EEG recording protocol to... 

    Effective fusion of deep multitasking representations for robust visual tracking

    , Article Visual Computer ; 2021 ; 01782789 (ISSN) Marvasti Zadeh, S. M ; Ghanei Yakhdan, H ; Kasaei, S ; Nasrollahi, K ; Moeslund, T. B ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2021
    Visual object tracking remains an active research field in computer vision due to persisting challenges with various problem-specific factors in real-world scenes. Many existing tracking methods based on discriminative correlation filters (DCFs) employ feature extraction networks (FENs) to model the target appearance during the learning process. However, using deep feature maps extracted from FENs based on different residual neural networks (ResNets) has not previously been investigated. This paper aims to evaluate the performance of 12 state-of-the-art ResNet-based FENs in a DCF-based framework to determine the best for visual tracking purposes. First, it ranks their best feature maps and... 

    Implementation of Virtual Structure Approach in Multiple Spacecraft Formation Flight Using Visual Sensors

    , M.Sc. Thesis Sharif University of Technology Saberi Tavakkoli, Mohammad (Author) ; Saghafi, Fariborz (Supervisor)
    In this research, it has been trying to implement Virtual Structure method for formation flight of multiple spacecraft. In this method, a virtual solid frame with virtual center of mass is considered and agents are arranged in a formation with respect to the virtual center. In this work, a formation keeping control system is implemented in which a feedback from formation to virtual structure and vice versa is considered. The method is implemented firstly in a nongradient field and then developed into a circular orbit in order to investigate the in-orbital effects. An algorithm for collision avoidance, based on relative distances and relative velocities, was also developed. The algorithm was... 

    Effective Connectivity of Audiovisual Integration

    , M.Sc. Thesis Sharif University of Technology Zobeiri, Omid (Author) ; Vosoughi Vahdat, Bijan (Supervisor)
    The aim of this thesis was to test predictive coding as a model of cortical organization and function in multisensory processing using a specific brain response, the mismatch negativity (MMN) in both Auditory and visual modalities, and a novel tool for connectivity analysis, dynamic causal modeling (DCM). Predictive coding models state that the brain perceives and makes inferences about the world by recursively updating predictions about sensory input. Thus, perception would result from comparing bottom-up input from the environment with top-down predictions. The generation of the MMN, an event related response elicited by violations in the regularity of a structured auditory or visual... 

    Effect of Reward Training on the Object-Finding Skill in Human

    , M.Sc. Thesis Sharif University of Technology Askari, Zahra (Author) ; Vosoughi Vahdat, Bijan (Supervisor) ; Ghazazideh, Ali (Co-Supervisor)
    The speed of finding things in humans and animals is essential; Because human is surrounded by many things, but only a tiny number of them are important to them. Animals also need to recognize valuable objects for their survival quickly, but searching for an object surrounded by many other things is a complex and time-consuming task. Therefore, understanding how search operations can increase the speed can be helpful and improve the accuracy and efficiency of common and essential searches in the community, from screening to understanding medical images.Also, the human brain can identify and prioritize valuable stimuli and keep them in mind, so until now, researchers in the field of... 

    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
    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... 

    Visual Odometry using RGB-D Cameras

    , M.Sc. Thesis Sharif University of Technology Mohammadi Kaji, Mahsa (Author) ; Kasaei, Shohreh (Supervisor)
    Vision-based localization and 3D orientation estimation of a moving camera, has been for long a vast research area including robot localization and mapping, virtual reality and structure from motion. By introduction of RGB-D cameras in 2010, many sparse methods which are based on key-point extraction and tracking, moved towards dense methods. Dense methods utilize the RGB-D depth and gray-scale values in the images and define the odometry estimation problem as an image registration optimization, without the need to make key-point correspondance in images. Although RGB-D cameras impose specific constraints such as limited depth, depth errors and medium resolution, dense methods have shown...