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Total 298 records

    Study of buzz phenomenon using visualization of external shock structure

    , Article Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering ; Volume 233, Issue 7 , 2019 , Pages 2690-2698 ; 09544100 (ISSN) Farahani, M ; Jaberi, A ; Sharif University of Technology
    SAGE Publications Ltd  2019
    Abstract
    An experimental study was carried out on an axisymmetric supersonic inlet with external compression in order to investigate the buzz phenomenon at different angles of attack and mass flow rates. The model was equipped with accurate and high-frequency pressure sensors, and the tests were conducted at Mach numbers varying from 1.8 to 2.5, for various angles of attack. Shadowgraph visualization technique, together with a high-speed camera, was used to provide the visual description of the shock structure in front of the inlet and to study the characteristics of buzz. Furthermore, pressure distribution over the spike surface was measured using several pressure sensors. Frequency of the buzz and... 

    Visual recognition of tryptophan enantiomers using chiral self assemblies of quantum dots

    , Article ACS Applied Nano Materials ; 2021 ; 25740970 (ISSN) Fahimi Kashani, N ; Jafar Nezhad Ivrigh, Z ; Bigdeli, A ; Hormozi Nezhad, M.R ; Sharif University of Technology
    American Chemical Society  2021
    Abstract
    Discrimination of chiral targets is generally achieved with chiral nanomaterials. However, the limited number of intrinsic chiral nanostructures as well as their complex synthesis procedure has led to the production of chirality-induced nanomaterials as alternatives. Chirality can be induced in nanomaterials by either chirality transfer or the formation of chiral assemblies. Using the latter approach, in this work, we have provided chiral supramolecular assemblies of CdTe quantum dots (QDs) from achiral starting materials. CTAB-QD assemblies showed chiroptical activities, and their orange emission in combination with the blue emission of carbon dots was utilized as a ratiometric chiral... 

    Deep learning for visual tracking: a comprehensive survey

    , Article IEEE Transactions on Intelligent Transportation Systems ; Volume 23, Issue 5 , 2022 , Pages 3943-3968 ; 15249050 (ISSN) Marvasti Zadeh, S. M ; Cheng, L ; Ghanei Yakhdan, H ; Kasaei, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Abstract
    Visual target tracking is one of the most sought-after yet challenging research topics in computer vision. Given the ill-posed nature of the problem and its popularity in a broad range of real-world scenarios, a number of large-scale benchmark datasets have been established, on which considerable methods have been developed and demonstrated with significant progress in recent years - predominantly by recent deep learning (DL)-based methods. This survey aims to systematically investigate the current DL-based visual tracking methods, benchmark datasets, and evaluation metrics. It also extensively evaluates and analyzes the leading visual tracking methods. First, the fundamental... 

    Towards robust visual transformer networks via k-sparse attention

    , Article 47th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022, 23 May 2022 through 27 May 2022 ; Volume 2022-May , 2022 , Pages 4053-4057 ; 15206149 (ISSN); 9781665405409 (ISBN) Amini, S ; Ghaemmaghami, S ; Sharif University of Technology
    Institute of Electrical and Electronics Engineers Inc  2022
    Abstract
    Transformer networks, originally developed in the community of machine translation to eliminate sequential nature of recurrent neural networks, have shown impressive results in other natural language processing and machine vision tasks. Self-attention is the core module behind visual transformers which globally mixes the image information. This module drastically reduces the intrinsic inductive bias imposed by CNNs, such as locality, while encountering insufficient robustness against some adversarial attacks. In this paper we introduce K-sparse attention to preserve low inductive bias, while robustifying transformers against adversarial attacks. We show that standard transformers attend... 

    Visual recognition of tryptophan enantiomers using chiral self assemblies of quantum DOTS

    , Article ACS Applied Nano Materials ; Volume 5, Issue 1 , 2022 , Pages 1460-1471 ; 25740970 (ISSN) Fahimi-Kashani, N ; Jafar Nezhad Ivrigh, Z ; Bigdeli, A ; Hormozi Nezhad, M. R ; Sharif University of Technology
    American Chemical Society  2022
    Abstract
    Discrimination of chiral targets is generally achieved with chiral nanomaterials. However, the limited number of intrinsic chiral nanostructures as well as their complex synthesis procedure has led to the production of chirality-induced nanomaterials as alternatives. Chirality can be induced in nanomaterials by either chirality transfer or the formation of chiral assemblies. Using the latter approach, in this work, we have provided chiral supramolecular assemblies of CdTe quantum dots (QDs) from achiral starting materials. CTAB-QD assemblies showed chiroptical activities, and their orange emission in combination with the blue emission of carbon dots was utilized as a ratiometric chiral... 

    Visual Tracking Using Sparse Representation

    , M.Sc. Thesis Sharif University of Technology Jourabloo, Amin (Author) ; Manzuri Shalmani, Mohammad Taghi (Supervisor)
    Abstract
    When an object or its background changes, occlusion or shape change occurs, most of the existed methods fail to track the target. To tackle this problem, we want to use sparse representation that has a great power in classification and reconstruction. Sparsity is a typical and practical hypothesis in many spaces. If a signal isn’t sparse in a space, it can be transformed to another space that is sparse in it. Articles that are published on visual tracking using sparse representation show that this field has attracted a lot of interest in the recent years. Here we have proposed two new methods that have reasonable results. Moreover, while it is well known that sparse representation-based... 

    Experimental Measurement of Aerodynamic Characteristics of a Projectile at Subsonic and Supersonic Regims

    , M.Sc. Thesis Sharif University of Technology Jaberi, Amin (Author) ; Soltani, Mohammad Reza (Supervisor) ; Farahani, Mohammad (Supervisor)
    Abstract
    A projectile was tested in a wind tunnel at various free sream Mach numbers and angles of attack. The tests were carried out at the transonic wind tunnel of the Imam Hussein University.The experiments were performed at subsonic and supersonic speeds and at different angles of attack. The aerodynamic behavior of the model was investigated using force and moment measurements. The results showed that in the range of measured angles of attack the separation did not occurr and variations of lift coefficient remained linear for all Mach numbers except for a free stream Mach number of 2.0. For this Mach number, the asymmetric bow shock makes a pressure difference between leeward and windward sides,... 

    Visual Tracking of Arbitrary-Shaped Objects in Unconstrained Environments

    , M.Sc. Thesis Sharif University of Technology Abdollahi Pour Haghighi, Hojjat (Author) ; Manzouri, Mohammad Taghi (Supervisor) ; Jamzad, Mansour (Co-Advisor)
    Abstract
    Most of current state-of-the-art methods for object tracking use adaptive tracking-by-detection. The performance of state-of-the-art methods is almost real-time with acceptable accuracy. These methods use tracking-by-detection because of its robustness. Tracking-bydetection methods use a detector as a tracker and sweep input for object of interest. They use their predictions to adapt their parameters and therefore be adaptive to appearance change in target. While suitable for cases when the object does not disappear from the scene, these methods tend to fail on occlusions. In this work, we build on a novel approach called Tracking-Learning-Detection (TLD) that overcomes this problem. In... 

    Neural Synchrony of Spiking Local Neurons and Local Field Potential Activities in Primary Visual Cortex of Awake Monkeys

    , M.Sc. Thesis Sharif University of Technology Masoudian, Saeed (Author) ; Jafari, Mehdi (Supervisor) ; Rabiee, Hamid Reza (Supervisor) ; Lashgari, Reza (Co-Supervisor)
    Abstract
    Primary visual cortex plays a paramount role in processing visual information. Visual information after the primitive processing by LGN and Thalamus, will be sent to the primary visual cortex which is called V1 area. According to the fact that V1 neurons have the definitive sensitivity to the edge and contrast of visual stimuli so their behavior are very selective to the certain features, specially contrast, of visual stimuli. These neurons have different response behavior to contrast. In fact most of them have some nonlinear behavior to this feature. Normally we expect that response of them or spiking rate of them grow linearly by the contrast increases but in most many cases they have some... 

    Design and Fabrication of a Balance Training Apparatus

    , M.Sc. Thesis Sharif University of Technology Behjat, Amir (Author) ; Behzadipour, Saeed (Supervisor) ; Farahmand, Farzam (Co-Advisor)
    Abstract
    One of the main reasons of being unable in doing routine jobs is the disability to attain and keep balance. This ability can be restored using rehabilitation techniques. A physiotherapist can be very helpful. This approach, however, apart from being very time consuming and expensive, needs quite a few physiotherapists. The physiotherapist will be prone to physical damages as well. This leads to improving therapy methods which do not require a physiotherapist. Using the rehabilitation balance devices can help solve the problem to some extents. If good device with reliable value system be developed, this device can be used without physiotherapist.
    This project has been carried out to... 

    Design a Content-Based Color Image Retrieval Using Attention Driven Saliency Map

    , M.Sc. Thesis Sharif University of Technology Ebrahimi, Davood (Author) ; Fatemizadeh, Emadeddin (Supervisor)
    Abstract
    Content Based Image Retrieval (CBIR) is in fact an image search engine which Operates on image Context . in this thesis (project) the aim was to use the Visual attention of humans in detecting the objects in image. in this ability first a salient image of the most important things in the image would be created And after an initial separation , for the final recognition the other features (details) in the image will be used It’s a while that the use of Visual attention models and saliency maps in designing the interfaces between humans and machines has been considered widely. This fact in the design of CBIR systems has not a good background (satisfying history). In this thesis I have... 

    Animation–based Gamification of Children

    , M.Sc. Thesis Sharif University of Technology Farzinnejad, Forouzan (Author) ; Habibi, Jafar (Supervisor) ; Hemmatyar, Ali Mohammad Afshin (Supervisor)
    Abstract
    Creative play is both engaging and educational. Finger painting, building with blocks, drawing, or dressing up – all such activities intimately link imagination and self expression with exploration and problem solving. With creative play, children have fun while learning new skills and enhancing their understanding of the world. However, with the popularity and ubiquity of digital devices, an increasing amount of play time happens in the digital world, such as with video games where the link to creativity is sometimes questionable. Instead of creative play, children simply play. In this thesis, we describe the design, development and preliminary evaluation of a novel animation tool for... 

    Heading angle Observability Enhancement in Visual Inertial Navigation via addition of Magnetometer for GPS Denied Environment

    , M.Sc. Thesis Sharif University of Technology Pahlevani, Ali (Author) ; Pourtakdoust, Hossein (Supervisor)
    Abstract
    In this thesis, a method is presented for improving the observability of the heading angle in a UAV when using the Visual-Inertial navigation algorithm MSCKF by adding a magnetometer sensor. The proposed algorithm serves as a complementary extension to the primary algorithm, and efforts have been made to seamlessly integrate the magnetometer sensor into the primary algorithm to allow for easy modifications to the sensor's characteristics and to observe the resulting output in system simulations. Improving the observability of the heading angle will lead to an enhancement in the overall system state estimation. To achieve this, a new update stage is added to the existing algorithm.... 

    Patchwise joint sparse tracking with occlusion detection

    , Article IEEE Transactions on Image Processing ; Vol. 23, Issue. 10 , 2014 , Pages. 4496-4510 ; ISSN: 10577149 Zarezade, A ; Rabiee, H. R ; Soltani-Farani, A ; Khajenezhad, A ; Sharif University of Technology
    Abstract
    This paper presents a robust tracking approach to handle challenges such as occlusion and appearance change. Here, the target is partitioned into a number of patches. Then, the appearance of each patch is modeled using a dictionary composed of corresponding target patches in previous frames. In each frame, the target is found among a set of candidates generated by a particle filter, via a likelihood measure that is shown to be proportional to the sum of patch-reconstruction errors of each candidate. Since the target's appearance often changes slowly in a video sequence, it is assumed that the target in the current frame and the best candidates of a small number of previous frames, belong to... 

    A novel secret sharing scheme from audio perspective

    , Article 2008 International Symposium on Telecommunications, IST 2008, Tehran, 27 August 2008 through 28 August 2008 ; October , 2008 , Pages 13-18 ; 9781424427512 (ISBN) Ehdaie, M ; Eghlidos, T ; Aref, M. R ; Sharif University of Technology
    2008
    Abstract
    In this paper, a new audio secret sharing scheme which is secure and ideal is proposed. This scheme is (k, n) threshold for k ≥ 2, where the previous schemes were (2, n). It is assumed that both, "shares" and "secret", are audio files instead of a bit string secret proposed in the previous works. The audio secret is reconstructed without any computation, that is only by playing audio shares simultaneously. Moreover, the simulation results shows that the new scheme is not sensitive to audio noise. ©2008 IEEE  

    A new method for visual secret sharing

    , Article 2008 International Symposium on Telecommunications, IST 2008, Tehran, 27 August 2008 through 28 August 2008 ; October , 2008 , Pages 619-623 ; 9781424427512 (ISBN) Firouzi, H ; Ehdaie, M ; Aref, M. R ; Sharif University of Technology
    2008
    Abstract
    In this paper a new probabilistic view to the Visual Secret Sharing (VSS) is presented and as a result, a new VSS scheme is proposed. The proposed scheme is a threshold scheme with perfect black pixel reconstruction. We present the scheme by introducing two sets C0 and C1. We consider an unknown probability distribution on the elements of C0 and C 1. Perfectness provides some linear constraints on the probabilities of C0 and C1 elements. By solving the provided system of linear equations, the probability distributions are specified and we achieve a perfect VSS scheme. ©2008 IEEE  

    Algebraic visual cryptography scheme for color images

    , Article 2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP, Las Vegas, NV, 31 March 2008 through 4 April 2008 ; 2008 , Pages 1761-1764 ; 15206149 (ISSN) ; 1424414849 (ISBN); 9781424414840 (ISBN) Heidarinejad, M ; Alamdar Yazdi, A ; Plataniotis, K. N ; Sharif University of Technology
    2008
    Abstract
    This paper introduces a novel, cost effective visual cryptography scheme suitable for color image transmission over bandwidth constraint channels. Unlike previously proposed schemes, the solution offers perfect reconstruction while producing shares with size smaller than that of the input image. The maximum distance separable (MDS) code principle used in the design allows for the introduction of a flexible framework that compares favorably to competing solutions as it can be seen by examining the experimental results included in this paper. ©2008 IEEE  

    Effects of physical exercise on the photoplethysmogram waveform

    , Article 2007 5th Student Conference on Research and Development, SCORED, Selangor, 11 December 2007 through 12 December 2007 ; 2007 ; 1424414709 (ISBN); 9781424414703 (ISBN) Chellappan, K ; Zahedi, E ; Mohd Ali, M. A ; Sharif University of Technology
    2007
    Abstract
    Photoplethysmography is a non-invasive method which is suitable to estimate vascular compliance. Photoplethysmogram (PPG) waveform has been used to evaluate vascular characteristic changes due to exercise. Quantification of the primary and secondary peak position is of interest as a potential objective, individualized measure of the level of exercise that a subject has achieved with respect to a baseline status, prior to the beginning of the exercise session. The modified bicycle ergonomic protocol was selected for this experiment. Two different signal processing methods were employed in processing the PPG waveform to characterize its changes through a single parameter. Both, the visual... 

    A novel approach to persian online hand writing recognition

    , Article Wec 05: Fourth World Enformatika Conference, Istanbul, 24 June 2005 through 26 June 2005 ; Volume 6 , 2005 , Pages 232-236 ; 9759845857 (ISBN) Halavati, R ; Jamzad, M ; Soleymani, M ; Sharif University of Technology
    2005
    Abstract
    Persian (Farsi) script is totally cursive and each character is written in several different forms depending on its former and later characters in the word. These complexities make automatic handwriting recognition of Persian a very hard problem and there are few contributions trying to work it out. This paper presents a novel practical approach to online recognition of Persian handwriting which is based on representation of inputs and patterns with very simple visual features and comparison of these simple terms. This recognition approach is tested over a set of Persian words and the results have been quite acceptable when the possible words where unknown and they were almost all correct in... 

    Towards energy optimization of transparent watermarks using entropy masking

    , Article IASTED International Conference on Internet and Multimedia Systems and Applications, EuroIMSA 2005, Grindelwald, 21 February 2005 through 23 February 2005 ; 2005 , Pages 259-264 ; 0889864861 (ISBN) Haghighi, M. S ; Ghaemmaghami, S ; Hamza M. H ; Sharif University of Technology
    2005
    Abstract
    An invisible image watermarking scheme tends to insert the mark in a transparent manner, with the highest possible energy. Several watermarking algorithms use human visual models as perceptual masks to maximize the power of watermark. We take advantage of inhibitory and excitatory characteristics of eye receptors which yield an extra capacity, for amplifying watermark power, while still satisfying imperceptibility constraint. Spatial-domain image entropy is used as a measure of strength of inhibitory effect. The principle of our idea is based on the decomposition of mark sequence into two parts, corresponding to two complementary sets of pixels in spatial-domain. These sets are determined...