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A modular extreme learning machine with linguistic interpreter and accelerated chaotic distributor for evaluating the safety of robot maneuvers in laparoscopic surgery
, Article Neurocomputing ; Volume 151, Issue P2 , March , 2015 , Pages 913-932 ; 09252312 (ISSN) ; Behzadipour, S ; Sharif University of Technology
Elsevier
2015
Abstract
In this investigation, a systematic sequential intelligent system is proposed to provide the surgeon with an estimation of the state of the tool-tissue interaction force in laparoscopic surgery. To train the proposed intelligent system, a 3D model of an in vivo porcine liver was built for different probing tasks. To capture the required knowledge, three different geometric features, i.e. Y displacement of the nodes on the upper surface and slopes on the closest node to the deforming area of the upper edge in both X-. Y and Z-. Y planes, were extracted experimentally. The numerical simulations are conducted in three independent successive stages. At the first step, a well-known...
Cubic graphs with total domatic number at least two
, Article Discussiones Mathematicae - Graph Theory ; Volume 38, Issue 1 , 2018 , Pages 75-82 ; 12343099 (ISSN) ; Motiei, M ; Mozaffari, S ; Yazdanbod, S ; Sharif University of Technology
University of Zielona Gora
2018
Abstract
Let G be a graph with no isolated vertex. A total dominating set of G is a set S of vertices of G such that every vertex is adjacent to at least one vertex in S. The total domatic number of a graph is the maximum number of total dominating sets which partition the vertex set of G. In this paper we provide a criterion under which a cubic graph has total domatic number at least two
An evolvable self-organizing neuro-fuzzy multilayered classifier with group method data handling and grammar-based bio-inspired supervisors for fault diagnosis of hydraulic systems
, Article International Journal of Intelligent Computing and Cybernetics ; Vol. 7, issue. 1 , 2014 , p. 38-78 ; Fathi, A ; Behzadipour, S ; Sharif University of Technology
2014
Abstract
Purpose: The purpose of this paper is to apply a hybrid neuro-fuzzy paradigm called self-organizing neuro-fuzzy multilayered classifier (SONeFMUC) to classify the operating faults of a hydraulic system. The main motivation behind the use of SONeFMUC is to attest the capabilities of neuro-fuzzy classifier for handling the difficulties associated with fault diagnosis of hydraulic circuits. Design/methodology/approach: In the proposed methodology, first, the neuro-fuzzy nodes at each layer of the SONeFMUC are trained separately using two well-known bio-inspired algorithms, i.e. a semi deterministic method with random walks called co-variance matrix adaptation evolutionary strategy (CMA-ES) and...
Identifying the tool-tissue force in robotic laparoscopic surgery using neuro-evolutionary fuzzy systems and a synchronous self-learning hyper level supervisor
, Article Applied Soft Computing Journal ; Vol. 14, issue. PART A , January , 2014 , pp. 12-30 ; Behzadipour, S ; Kohani, M ; Sharif University of Technology
2014
Abstract
In this paper, two different hybrid intelligent systems are applied to develop practical soft identifiers for modeling the tool-tissue force as well as the resulted maximum local stress in laparoscopic surgery. To conduct the system identification process, a 2D model of an in vivo porcine liver was built for different probing tasks. Based on the simulation, three different geometric features, i.e. maximum deformation angle, maximum deformation depth and width of displacement constraint of the reconstructed shape of the deformed body are extracted. Thereafter, two different fuzzy inference paradigms are proposed for the identification task. The first identifier is an adaptive co-evolutionary...
The great salmon run: A novel bio-inspired algorithm for artificial system design and optimisation
, Article International Journal of Bio-Inspired Computation ; Volume 4, Issue 5 , 2012 , Pages 286-301 ; 17580366 (ISSN) ; Fathi, A ; Behzadipour, S ; Sharif University of Technology
Inderscience
2012
Abstract
The major application of stochastic intelligent methods in optimisation, control and management of complex systems is transparent. Many researchers try to develop collective intelligent techniques and hybrid meta-heuristic models for improving the reliability of such optimisation algorithms. In this paper, a new optimisation method that is the simulation of 'the great salmon run' (TGSR) is developed. This simulation provides a powerful tool for optimising complex multi-dimensional and multi-modal problems. For demonstrating the high robustness and acceptable quality of TGSR, it is compared with most of the well-known proposed optimisation techniques such as parallel migrating genetic...
ECG denoising using modulus maxima of wavelet transform
, Article Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 ; 2009 , Pages 416-419 ; 1557170X (ISSN) ; Shamsollahi, M. B ; Mozaffari, B ; Kharabian, S ; Sharif University of Technology
2009
Abstract
ECG denoising has always been an important issue in medical engineering. The purposes of denoising are reducing noise level and improving signal to noise ratio (SNR) without distorting the signal. This paper proposes a method for removing white Gaussian noise from ECG signals. The concepts of singularity and local maxima of the wavelet transform modulus were used for analyzing singularity and reconstructing the ECG signal. Adaptive thresholding was used to remove white Gaussian noise modulus maximum of wavelet transform and then reconstruct the signal
ECG denoising using modulus maxima of wavelet transform
, 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, Minneapolis, MN ; 2009 , Pages 416-419 ; 9781424432967 (ISBN) ; Shamsollahi, M. B ; Mozaffari, B ; Kharabian, S ; Sharif University of Technology
2009
Abstract
ECG denoising has always been an important issue in medical engineering. The purposes of denoising are reducing noise level and improving signal to noise ratio (SNR) without distorting the signal. This paper proposes a method for removing white Gaussian noise from ECG signals. The concepts of singularity and local maxima of the wavelet transform modulus were used for analyzing singularity and reconstructing the ECG signal. Adaptive thresholding was used to remove white Gaussian noise modulus maximum of wavelet transform and then reconstruct the signal. ©2009 IEEE
Fault-resilient lightweight cryptographic block ciphers for secure embedded systems
, Article IEEE Embedded Systems Letters ; Vol. 6, issue. 4 , 2014 , pp. 89-92 ; ISSN: 19430663 ; Tian, K ; Azarderakhsh, R ; Bayat Sarmadi, S ; Sharif University of Technology
2014
Abstract
The development of extremely-constrained embedded systems having sensitive nodes such as RFID tags and nanosensors necessitates the use of lightweight block ciphers. Nevertheless, providing the required security properties does not guarantee their reliability and hardware assurance when the architectures are prone to natural and malicious faults. In this letter, error detection schemes for lightweight block ciphers are proposed with the case study of XTEA (eXtended TEA). Lightweight block ciphers such as XTEA, PRESENT, SIMON, and the like might be better suited for low-resource deeply-embedded systems compared to the Advanced Encryption Standard. Three different error detection approaches...
3D hand pose estimation using RGBD images and hybrid deep learning networks
, Article Visual Computer ; 2021 ; 01782789 (ISSN) ; Seyedarabi, H ; Mozaffari Tazehkand, B ; Kasaei, S ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2021
Abstract
Hand pose estimation is one of the most attractive research areas for image processing. Among the human body parts, hands are particularly important for human–machine interactions. The advent of commercial depth cameras along with the rapid growth of deep learning has made great progress in all image processing fields, especially in hand pose estimation. In this study, using depth data, we introduce two hybrid deep neural networks to estimate 3D hand poses with fewer computations and higher accuracy compared with their counterparts. Due to the fact that the dimensions of data are reduced while passing through successive layers of networks, which causes data to be lost, we use the concept of...
3D hand pose estimation using RGBD images and hybrid deep learning networks
, Article Visual Computer ; Volume 38, Issue 6 , 2022 , Pages 2023-2032 ; 01782789 (ISSN) ; Seyedarabi, H ; Mozaffari Tazehkand, B ; Kasaei, S ; Sharif University of Technology
Springer Science and Business Media Deutschland GmbH
2022
Abstract
Hand pose estimation is one of the most attractive research areas for image processing. Among the human body parts, hands are particularly important for human–machine interactions. The advent of commercial depth cameras along with the rapid growth of deep learning has made great progress in all image processing fields, especially in hand pose estimation. In this study, using depth data, we introduce two hybrid deep neural networks to estimate 3D hand poses with fewer computations and higher accuracy compared with their counterparts. Due to the fact that the dimensions of data are reduced while passing through successive layers of networks, which causes data to be lost, we use the concept of...
Reliable concurrent error detection architectures for extended euclidean-based division over (2m)
, Article IEEE Transactions on Very Large Scale Integration (VLSI) Systems ; Vol. 22, Issue. 5 , 2014 , pp. 995-1003 ; Azarderakhsh, R ; Lee, C. Y ; Bayat-Sarmadi, S ; Sharif University of Technology
2014
Abstract
The extended Euclidean algorithm (EEA) is an important scheme for performing the division operation in finite fields. Many sensitive and security-constrained applications such as those using the elliptic curve cryptography for establishing key agreement schemes, augmented encryption approaches, and digital signature algorithms utilize this operation in their structures. Although much study is performed to realize the EEA in hardware efficiently, research on its reliable implementations needs to be done to achieve fault-immune reliable structures. In this regard, this paper presents a new concurrent error detection (CED) scheme to provide reliability for the aforementioned sensitive and...
High-Performance Fault Diagnosis Schemes for Efficient Hash Algorithm BLAKE
, Article 10th IEEE Latin American Symposium on Circuits and Systems, LASCAS 2019, 24 February 2019 through 27 February 2019 ; 2019 , Pages 201-204 ; 9781728104522 (ISBN) ; Bayat Sarmadi, S ; Ackie, A. B ; Azarderakhsh, R ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2019
Abstract
Augmenting the security of cryptographic algorithms by protecting them against side-channel active attacks (and natural faults) is essential in cryptographic engineering. BLAKE algorithm is an efficient hash function which has been developed based on Bernstein's ChaCha stream cipher. Because of the fact that Google has chosen ChaCha along with Bernstein's Poly1305 message authentication code as a replacement for RC4 in TLS for Internet security, BLAKE's implementation is of paramount importance. In this paper, we present high-performance fault detection schemes for BLAKE. Specifically, for the round function, two fault diagnosis approaches are developed and analyzed in terms of error...
Raman Study of Tb-doped YBCO and Ce-doped GdBCO
, Article Physica C: Superconductivity and its Applications ; Volume 468, Issue 13 , 2008 , Pages 985-990 ; 09214534 (ISSN) ; Akhavan, M ; Sharif University of Technology
2008
Abstract
The phase formation and the variation of the normal phonon frequencies of high temperature superconductors YBa2Cu3O7-δ and GdBa2Cu3O7-δ upon doping Tb and Ce for Y and Gd, respectively, have been investigated using XRD and Raman spectroscopy measurements. It is found that the increase of doping content causes the formation of impurity phases that can be detected in the XRD and Raman spectra, and results in the suppression of superconductivity. Moreover, analysis of the Raman peaks reveals that substitutions of Tb and Ce for Y and Gd in the parent structure are restricted to low concentrations in favor of impurity island formation. © 2008
Reliability Enhancement of SSD-based Storage Systems Using Erasure Codes
, M.Sc. Thesis Sharif University of Technology ; Miremadi, Ghasem (Supervisor)
Abstract
The use of flash-based Solid State Disks (SSDs) has been increased in the past decades because of their high performance and low power consumption. As SSDs have no moving mechanical parts, they are more reliable than HDDs. SSDs have specific errors, such as read, program, and erase disturbs, data retention, and endurance. It is so common in storage systems to apply an array of disks called Redundant Array of Independent Disks (RAID) together for the aim of reliability and performance. Erasure codes are one of the main methods applied in storage systems for the aim of reliability. Erasure codes increase the reliability of storage systems by protecting them against disk failures and sector...
Design and Construction of Motorized Surfboard
, M.Sc. Thesis Sharif University of Technology ; Khorasanchi, Mahdi (Supervisor)
Abstract
Jetsurf is a recreation vessel at sea. It is a surfboard that is equipped with a motor propulsion system and provides surfing, which is an exciting and popular sport, in calm seas, lakes, dams, rivers and natural and artificial canals. This project is divided into four steps. In the first step, the appropriate dimensions for the design of this device are specified. In the second step, to calculate the resistance of jetsurf, at first a model with similar dimensions including experimental results in Star CCM+ software was validated by computational fluid dynamics method and Overset dynamic mesh technique and then jetsurf resistance with dimensions of 1.8x0.6x0.225 meters was calculated. In the...
Measuring and Remote Monitoring of Vital Signs
, M.Sc. Thesis Sharif University of Technology ; Atarodi, Mojtaba (Supervisor)
Abstract
With the increasing number of elderly people as a proportion of the total population in the world and the aging of the world's population, the need for medical care has increased. On the one hand, most of the elderly population have chronic diseases such as diabetes, hypertension, etc., which do not require hospitalization in healthcare centers, but they need to monitor their health status. Given the progress of technology, the measurement of vital body signals has been made possible with non-invasive methods. In this thesis, an attempt has been made to provide a wearable and portable solution for the measurement, monitoring, and collection of vital signals based on the Internet of Things...
Comparative study on effect of titania morphology for light harvesting and scattering of DSSCs: Mesoporous nanoparticles, microspheres, and dandelion-like particles
, Article Environmental Progress and Sustainable Energy ; Volume 35, Issue 6 , 2016 , Pages 1818-1826 ; 19447442 (ISSN) ; Mohammadi, M. R ; Andaji Garmaroudi, Z ; Musvi Gharavi, P. S ; Sharif University of Technology
John Wiley and Sons Inc
2016
Abstract
The light scattering and harvesting effects in dye-sensitized solar cells (DSSCs) is studied by controlling morphology, phase composition, and thickness of monolayer and double-layer TiO2 photoanode electrodes. The starting materials for preparation of TiO2 cells, including 25 nm mesoporous anatase nanoparticles, 200 nm anatase microspheres, 10 µm dandelion-like rutile particles and 40 nm nanoparticles containing 80% anatase-20% rutile, are synthesized by evaporation-induced self-assembly, sol-gel, and hydrothermal processes. It was found that the mesoporous anatase nanoparticles may improve light harvesting and dye-sensitization due to their high surface area and small particle size,...
Spin dynamics characterization in magnetic dots
, Article Physica B: Condensed Matter ; Volume 399, Issue 2 , 2007 , Pages 81-93 ; 09214526 (ISSN) ; Esfarjani, K ; Sharif University of Technology
2007
Abstract
The spin structure in a magnetic dot is studied as a function of the exchange coupling strength and dot size within the semiclassical approximation on a discrete lattice. As the exchange coupling is decreased or the size is increased, the ground state undergoes a phase change from a homogeneous single-domain ferromagnet (HSDF) to a spin vortex. The line separating these two phases has been calculated numerically for small system sizes. The dipolar interaction has been fully included in our calculations. Magnon frequencies in such a dot have also been calculated in both phases by the linearized equation of motion method. These results have also been reproduced from the Fourier transform of...
Rotational regimes of freely suspended liquid crystal films under electric current in presence of an external electric field
, Article Microfluidics and Nanofluidics ; Volume 13, Issue 1 , 2012 , Pages 83-89 ; 16134982 (ISSN) ; Amjadi, A ; Ejtehadi, M. R ; Mozaffari, M. R ; Feiz, M. S ; Sharif University of Technology
2012
Abstract
The electrohydrodynamic (EHD) vortices produced by an electric current in freely suspended liquid crystal (LC) films of N-(4-methoxybenzylidene)-4- butylaniline (MBBA), convert to a pure rotation in the presence of external electric field (E ext) perpendicular to the current direction. Here, the direction and strength of the rotation are precisely under control by our self-made device called "liquid-film motor". In this paper, we present experimental observations of the EHD fluid flow when external electric field varies from zero to a value in which pure rotation on the liquid crystal (LC) film is observed. We also show experimentally that the presence of external electric field causes a...
Prediction of HCCI Engine Performance Using Blend of H2 and HC Fuel
, M.Sc. Thesis Sharif University of Technology ; Mozaffari, Ali Asghar (Supervisor)
Abstract
The idea of improving performance of internal combustion engines has always been important for researchers and manufacturers. In recent decades, due to limited resources of fossil fuels and introduction of vehicle emission regulations, researchers have undertaken more efforts to achieve goals such as increased horsepower, reduced fuel consumption and pollutant emissions reductions. Homogeneous charge compression ignition engine is a modern and efficient design that has attracted attention of many researchers. In[[ these engines, homogenous mixture of fuel and air enters into the combustion chamber and with a mechanism of self ignition, produces more power and has less fuel consumption...