Loading...
Search for: low-level
0.01 seconds
Total 21 records

    Effect of low-level laser irradiation on the function of glycated catalase

    , Article Journal of Lasers in Medical Sciences ; Volume 9, Issue 3 , 2018 , Pages 212-218 ; 20089783 (ISSN) Mirmiranpour, H ; Shams Nosrati, F ; Sobhani, O ; Nazifi Takantape, S ; Amjadi, A ; Sharif University of Technology
    Laser Application in Medical Sciences Research Center  2018
    Abstract
    Introduction: The aim of this work is to evaluate the effect of low-level laser irradiation (LLLI), by lasers with different wavelengths, on glycated catalase enzyme in vitro experimentally. Methods: This is done by measuring the activity and structure properties of glycated catalase enzyme. The structure properties were evaluated with circular dichroism (CD) and fluoroscopy methods. Three continuous wave (CW) lasers in the visible spectrum (λ = 450, 530, 638 nm) and a 100-ns pulsed laser in the infrared spectrum (λ = 905 nm) were chosen for comparison. For the infrared laser, same effects have been investigated for different energy doses. The effect of photon energy (hλ) at different... 

    Ontology-based Advanced Persistent Attacks Detection

    , Ph.D. Dissertation Sharif University of Technology Mohammadzadeh Lajevardi, Amir (Author) ; Amini, Morteza (Supervisor)
    Abstract
    Advanced Persistent Threats (APTs), use hybrid, slow, and low-level patterns to leak and exfiltrate information, manipulate data, or prevent progression of a program or mission. Since current intrusion detection systems (IDSs) and alert correlation systems do not correlate low-level operating system events with network events and use alert correlation instead of event correlation, the intruders use low and hybrid events in order to make detection difficult for such detection systems. In addition, these attacks use low and slow patterns to bypass intrusion detection and alert correlation systems. Since most of the attack detection approaches use a short time-window, the slow APTs abuse this... 

    Extracting Proper Features for Human Detection in Still Images

    , M.Sc. Thesis Sharif University of Technology Mozafari, Azadeh Sadat (Author) ; Jamzad, Mansour (Supervisor)
    Abstract
    Human detection in still images is one of the hardest problems in object detection area. There are several challenges like articulation, pose variation, variant clothing, none uniform illumination, cluttered background and occlusion which make this problem more sophisticated than any other object detection problem. The general solution for this kind of problems is based on supervised learning that contains two main parts: 1-extracting proper features, 2- using proper classifier. The main focus of this thesis is on the first part, extracting proper features, which should be robust to mentioned challenges. Based on the level of extraction we can divide the features to four groups: 1-low-level,... 

    Fuzzy Terrain Following Flight

    , Ph.D. Dissertation Sharif University of Technology Rahim, Mohammad (Author) ; Malaek, Mohammad Bagher (Supervisor)
    Abstract
    The purpose of this thesis is to present a novel approach in Terrain Following/Terrain Avoidance (TF/TA) flight using Fuzzy Logic. The fuzzy logic can decide where and how the aircraft needs to change its altitude and/or heading angle. The method due to its fast decision making algorithms would be useful for on-line operation. It could also help design trajectories in an off-line manner. To achieve the above goal, the method effectively incorporates the dynamics of the aircraft and could handle tough terrains in terms of shape and peculiarities. The mathematical method basically, uses a special relationship among existing slope and slope derivative of the terrain together with aircraft... 

    Safety Enhancement using SLAM Assisted Flight Control System (SAFCS)in Low-Level Flights

    , M.Sc. Thesis Sharif University of Technology Alizadeh, Hamid Reza (Author) ; Malaek, Mohammad Bagher (Supervisor)
    Abstract
    Ultralight aircraft (VLA category) are usually piloted by novice pilots under Visual Flight Rules (VFR). In this work, we demonstrate how newly developed techniques in robotics could be used to enhance flight safety in this category of aircraft, especially during landing around sunset. In this research we have investigated the ability of Simultaneous Localization And Mapping (SLAM) algorithms in low level flight just before touch-down. Different case-studies show that SLAM algorithm is efficient in detecting the runway threshold. Comparing five different methods of parameterizations for landmarks detection including: (1) Plucker, (2) Anchored Plucker, (3) Homogeneous, (4) Anchored... 

    HBIR: Hypercube-based image retrieval

    , Article Journal of Computer Science and Technology ; Volume 27, Issue 1 , January , 2012 , Pages 147-162 ; 10009000 (ISSN) Ajorloo, H ; Lakdashti, A ; Sharif University of Technology
    Abstract
    In this paper, we propose a mapping from low level feature space to the semantic space drawn by the users through relevance feedback to enhance the performance of current content based image retrieval (CBIR) systems. The proposed approach makes a rule base for its inference and configures it using the feedbacks gathered from users during the life cycle of the system. Each rule makes a hypercube (HC) in the feature space corresponding to a semantic concept in the semantic space. Both short and long term strategies are taken to improve the accuracy of the system in response to each feedback of the user and gradually bridge the semantic gap. A scoring paradigm is designed to determine the... 

    Near-optimal terrain collision avoidance trajectories using elevation maps

    , Article IEEE Transactions on Aerospace and Electronic Systems ; Volume 47, Issue 4 , October , 2011 , Pages 2490-2501 ; 00189251 (ISSN) Malaek, S. M ; Abbasi, A ; Sharif University of Technology
    2011
    Abstract
    The main attempt of this paper is to present a new methodology to model a generic low-level flight close to terrain, which guarantees terrain collision avoidance. Benefiting the advantages of high-speed computer technology, this method uses satellite elevation maps to generate so-called "quad-tree forms". The latter is then used to find the optimal trajectories for low-level flights. The novelty of this approach, entitled the "cost map," lies in the integration of aircraft dynamics into the segmented map. This procedure results in some near-optimal trajectories with respect to aircraft dynamics that could easily be used for minimization of flight path together with pilot effort. Different... 

    Finite element martensite ratio derivation of NiTi via measurable criteria of strain rate

    , Article Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems 2009, SMASIS2009, 21 September 2009 through 23 September 2009, Oxnard, CA ; Volume 1 , 2009 , Pages 641-647 ; 9780791848968 (ISBN) Amini, A ; Mehdigholi, H ; Elahinia, M ; Sharif University of Technology
    Abstract
    The shape memory alloys (SMAs) and smart composites have a large use in high and low level industry, while a lot of research is being done in this field. The existence of smart composite structures is because of the advance mechanical benefits of the above materials. This work refers to dynamic and quasi static nonlinear explanation of these materials. After mathematical model consideration on the rate of strain, a model which is about martensite ratio of NiTi has been presented. This work has been done because of the high sensitivity of these materials to strain rate and use of visual and measurable engineering criteria to access other variables. As the martensite ratio is not engineering... 

    A semantic-based correlation approach for detecting hybrid and low-level APTs

    , Article Future Generation Computer Systems ; Volume 96 , 2019 , Pages 64-88 ; 0167739X (ISSN) Lajevardi, A. M ; Amini, M ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    Sophisticated and targeted malwares, which today are known as Advanced Persistent Threats (APTs), use multi-step, distributed, hybrid and low-level patterns to leak and exfiltrate information, manipulate data, or prevent progression of a program or mission. Since current intrusion detection systems (IDSs) and alert correlation systems do not correlate low-level operating system events with network events and use alert correlation instead of event correlation, the intruders use low and hybrid events in order to distribute the attack vector, hide malwares behaviors, and therefore make detection difficult for such detection systems. In this paper, a new approach for detecting hybrid and... 

    ARAE: Adversarially robust training of autoencoders improves novelty detection

    , Article Neural Networks ; Volume 144 , 2021 , Pages 726-736 ; 08936080 (ISSN) Salehi, M ; Arya, A ; Pajoum, B ; Otoofi, M ; Shaeiri, A ; Rohban, M. H ; Rabiee, H. R ; Sharif University of Technology
    Elsevier Ltd  2021
    Abstract
    Autoencoders have recently been widely employed to approach the novelty detection problem. Trained only on the normal data, the AE is expected to reconstruct the normal data effectively while failing to regenerate the anomalous data. Based on this assumption, one could utilize the AE for novelty detection. However, it is known that this assumption does not always hold. Such an AE can often perfectly reconstruct the anomalous data due to modeling low-level and generic features in the input. We propose a novel training algorithm for the AE that facilitates learning more semantically meaningful features to address this problem. For this purpose, we exploit the fact that adversarial robustness... 

    Intravenous laser wavelength radiation effect on LCAT, PON1, catalase, and FRAP in diabetic rats

    , Article Lasers in Medical Science ; Volume 35, Issue 1 , 2020 , Pages 131-138 Amjadi, A ; Mirmiranpour, H ; Sobhani, S. O ; Moazami Goudarzi, N ; Sharif University of Technology
    Springer  2020
    Abstract
    The main purpose of this study is to evaluate the effect of intravenous irradiation of different low-level laser wavelengths on the activity of lecithin-cholesterol acyltransferase (LCAT), paraoxonase (PON1), catalase, and ferric reducing ability of plasma (FRAP) in diabetic rats. First, diabetes was induced in rats using streptozotocin (STZ). Enzymes’ activity was measured in the blood samples and compared before and after intravenous laser blood irradiation. We used four continuous-wave lasers—IR (λ = 808 nm), Red (λ = 638 nm), Green (λ = 532 nm), and Blue (λ = 450 nm)—to compare the wavelength’s effect on different enzymes’ activity. Laser power was fixed at 0.01 mW and laser energy was... 

    Immobilization of Concentrated Radioactive Waste from Bushehr Nuclear Power Plant in Glass Matrix

    , M.Sc. Thesis Sharif University of Technology Khatirian, Mahdi (Author) ; Samadfam, Mohammad (Supervisor) ; Sepehrian, Hamid (Supervisor) ; Yadollahi, Ali (Co-Supervisor)
    Abstract
    Considering the operation of the current nuclear reactors and the country's policy to achieve 10,000 megawatts of nuclear power in the horizon of 1420, in the coming years we will face a huge amount of radioactive waste, the majority of which is waste with low and intermediate levels of radioactivity (LILW). A large percentage of the radioactive waste production in Bushehr power plant is concentrated waste with a low and intermediate level of radioactivity (about 70% by volume). Due to the commisining of phase 2 and 3 of Bushehr power plant in the coming years and the increase in the radioactive waste production, proper planning should be done for waste management in order to reduce the... 

    A framework for content-based human brain magnetic resonance images retrieval using saliency map

    , Article Biomedical Engineering - Applications, Basis and Communications ; Volume 25, Issue 4 , 2013 ; 10162372 (ISSN) Tarjoman, M ; Fatemizadeh, E ; Badie, K ; Sharif University of Technology
    2013
    Abstract
    Content-based image retrieval (CBIR) makes use of low-level image features, such as color, texture and shape, to index images with minimal human interaction. Considering the gap between low-level image features and the high-level semantic concepts in the CBIR, we proposed an image retrieval system for brain magnetic resonance images based on saliency map. The saliency map of an image contains important image regions which are visually more conspicuous by virtue of their contrast with respect to surrounding regions. First, the proposed approach exploits the ant colony optimization (ACO) technique to measure the image's saliency through ants' movements on the image. The textural features are... 

    Effects of rolling reduction on mechanical properties anisotropy of commercially pure titanium

    , Article Materials and Design ; Volume 34 , 2012 , Pages 268-274 ; 02641275 (ISSN) Nasiri Abarbekoh, H ; Ekrami, A ; Ziaei Moayyed, A. A ; Shohani, M ; Sharif University of Technology
    Abstract
    In the present work tensile and tear properties of commercially pure titanium with different rolling reductions and specimens directions were investigated. The experimental results showed that in low levels of deformation the microstructure refining and mechanical twins have fewer significant effects on the anisotropic behavior of both tear and tensile properties and the crystallographic texture controls the mechanical properties anisotropy. The increase in rolling reduction up to 50% led to the formation of strong-basal texture and resulted in the activation of almost same deformation systems and isotropic mechanical response. However, at high levels of deformation, due to the split... 

    Control of human spine in repetitive sagittal plane flexion and extension motion using a CPG based ANN approach

    , Article Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS ; 2011 , Pages 8146-8149 ; 1557170X (ISSN) ; 9781424441211 (ISBN) Sedighi, A ; Sadati, N ; Nasseroleslami, B ; Vakilzadeh, M. K ; Narimani, R ; Parnianpour, M ; Sharif University of Technology
    Abstract
    The complexity associated with musculoskeletal modeling, simulation, and neural control of the human spine is a challenging problem in the field of biomechanics. This paper presents a novel method for simulation of a 3D trunk model under control of 48 muscle actuators. Central pattern generators (CPG) and artificial neural network (ANN) are used simultaneously to generate muscles activation patterns. The parameters of the ANN are updated based on a novel learning method used to address the kinetic redundancy due to presence of 48 muscles driving the trunk. We demonstrated the feasibility of the proposed method with numerical simulation of experiments involving rhythmic motion between upright... 

    A behavioral analysis of freight mode choice decisions

    , Article Transportation Planning and Technology ; Volume 34, Issue 8 , 2011 , Pages 857-869 ; 03081060 (ISSN) Samimi, A ; Kawamura, K ; Mohammadian, A ; Sharif University of Technology
    Abstract
    This paper develops a behavioral analysis of freight mode choice decisions that could provide a basis for an acceptable analytical tool for policy assessment. The paper specifically examines the way that truck and rail compete for commodity movement in the US. Two binary mode choice models are introduced in which some shipment-specific variables (e.g. distance, weight and value) and mode-specific variables (e.g. haul time and cost) are found to be determinants. The specifications of the non-selected choice are imputed in a machine learning module. Shipping cost is found to be a central factor for rail shipments, while road shipments are found to be more sensitive to haul time. Sensitivity of... 

    Aircraft terrain following flights based on fuzzy logic

    , Article Aircraft Engineering and Aerospace Technology ; Volume 83, Issue 2 , 2011 , Pages 94-104 ; 00022667 (ISSN) Rahim, M ; Malaek, S. M.- B ; Sharif University of Technology
    2011
    Abstract
    Purpose - The purpose of this paper is to present a novel approach in terrain following (TF) flight using fuzzy logic. The fuzzy controller as presented in this work decides where and how the aircraft needs to change its altitude. The fast decision-making nature of this method promises real-time applications even for tough terrains in terms of shape and peculiarities. The method could always assist to design trajectories in an off-line manner. Design/methodology/approach - To achieve the aforementioned goal, the method effectively incorporates the dynamics of the aircraft. Basically, the mathematical method employs special relationships among existing slope of the terrain and its derivative... 

    A predictive voltage controller for stabilizing single fuel cell convertor

    , Article 4th IEEE Electrical Power and Energy Conference: "Sustainable Energy for an Intelligent Grid", EPEC 2010, Halifax, NS, 25 August 2010 through 27 August 2010 ; 2010 ; 9781424481880 (ISBN) Masoumzadeh, A ; Nasirian, V. R ; Roshandel, R ; Zolghadri, M. R ; Fathi, A. H ; Noroozi, N ; Sharif University of Technology
    2010
    Abstract
    Serious and challengeable role in markets of low power supplies for cellular phones and other small portable devices is expected for single fuel cell in future. Single fuel cell voltage level is extremely low in comparison with its output current. According to the extremely low level of the voltage, a suitable dc/dc boost converter must be used for increasing the voltage. In this paper, a model for a single fuel cell is presented and the effect of external load variation and changing of reactant pressure on cell performance is investigated. Moreover, a predictive voltage controller for boost convertor of PEM fuel cell is presented, simulated and validated using MATLAB/Simulink. The results... 

    Intravenous laser wavelength irradiation effect on interleukins: Il-1α, il-1β, IL6 in diabetic rats

    , Article Laser Therapy ; Volume 28, Issue 4 , 2019 , Pages 267-273 ; 08985901 (ISSN) Amjadi, A ; Mirmiranpor, H ; Khandani, S ; Sobhani, S. O ; Shafaee, Y ; Sharif University of Technology
    Japan Medical Laser Laboratory  2019
    Abstract
    Background and aims: The main purpose of this investigation in Low-Level Laser Therapy (LLLT) on diabetic rats is laser wavelength effect on interleukins: IL-1α, IL-1β, IL6. Materials (Subjects) and Methods: At first, diabetes was induced in Wistar rats by streptozotocin (STZ) injection. Then, by intravenous laser therapy, the rats were irradiated by four continuous wave lasers: IR (λ = 808 nm), Red (λ = 638 nm), Green (λ = 532 nm) and Blue (λ = 450 nm) to compare the related laser wavelength effect on different interleukins. The inflammatory parameters were measured 2,6 and 24 hours after laser therapy from blood samples and plotted for different laser wavelengths. Results: The results show... 

    Influence of nano-SiO2 addition on microstructure and mechanical properties of cement mortars for ferrocement

    , Article Transportation Research Record ; Issue 2141 , 2010 , Pages 15-20 ; 03611981 (ISSN) Hosseini, P ; Booshehrian, A ; Farshchi, S ; Sharif University of Technology
    Abstract
    Because of their unique physical and chemical properties, nanoparticles have been gaining increasing attention and have been used in many fields to fabricate new materials with novel functions. If nanoparticles are integrated with cement-based building materials, the new materials might possess some outstanding properties. Ferrocement is a type of thin-wall reinforced concrete commonly constructed of hydraulic cement mortar reinforced with closely spaced layers of continuous and relatively small-sized wire mesh. The low level of technical skill required to make ferrocement and the ready availability of its materials make ferrocement suitable for a wide variety of applications. This study...