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equipment-testing
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Design of a High Speed Processor for Network Equipment Test
, M.Sc. Thesis Sharif University of Technology ; Jahangir, Amir Hossein (Supervisor)
Abstract
The visible growth in usage of computer networks in daily human life has significantly increased the importance of their correct and flawless operation. Various solutions have been offered to evaluate the operation correctness of network equipment. One of the most important issues in this context is evaluating the performance of such equipment. Due to the increase in speed of network ports, design and implementation of performance evaluation tools have become a challenging issue in terms of parameters such as speed, time accuracy, power consumption and cost. In this thesis, a hardware-based system for testing network equipment with 10 Gbps ports has been designed and implemented. This system...
Modeling of laser thermal and hydrodynamic effects on a dilute suspension of micro-particles in water
, Article Journal of Mechanical Science and Technology ; Vol. 28, issue. 3 , 2014 , p. 1017-1026 ; Saidi, M. H ; Saidi, M. S ; Shafii, M. B ; Sharif University of Technology
Abstract
Particle manipulation using laser beam is almost a new and contactless technique in particulate sciences. The method is based on the radiation pressure of light photons on the particles suspended in a semi-transparent fluid. Applications of the technique mainly cover microscopic separation and detection of biological objects. In this work, a theoretical study is conducted to investigate the hydrodynamic and thermal effects on a particulate flow in a mini-channel. Laser thermal effects are studied as a result of light absorption either in fluid or dispersed phase. An analytical model is developed to be the real simulator of a test bed developed by the authors. The main objective of performed...
An nnovative test bed for verification of attitude control system
, Article IEEE Aerospace and Electronic Systems Magazine ; Volume 32, Issue 6 , 2017 , Pages 16-22 ; 08858985 (ISSN) ; Faghihinia, A ; Kalhor, A ; Sharif University of Technology
Abstract
A 3 DOF platform was constructed in the Georgia Institute of Technology to perform new control strategies in an experimental framework. Also in this simulator, there isn't any sensor used by a real satellite for attitude determination. The setup was structured on data transmitting and synchronization of distributed elements for ADCS tests. In such a plan, not only can different elements of the test bed be used individually, but also they can support an integrated hardware in the loop test. Accordingly, reusing the hardware sources causes a cost reduction of development. Furthermore the geometric interferences of different parts are minimized in this plan. So, the test bed can be developed...
A new experimental approach to investigate the induced force and velocity fields on a particulate manipulation mechanism
, Article Scientia Iranica ; Vol. 21, Issue 2 , 2014 , pp. 414-424 ; ISSN: 10263098 ; Shafii, M. B ; Saidi, M. H ; Saidi, M. S ; Rohani, R ; Sharif University of Technology
Abstract
Identification and minimization of error sources are important issues in experimental investigations. Mainly in micro-scale problems, precise settings should be applied to high-tech test beds to reduce disturbance and induced motion. An experimental study is conducted to assess the role of induced forces and velocity fields in a particulate system used for particle identification and separation. Two main effects caused by disturbances are sampling errors and induced motion in the channel, either on fluid or dispersed phases. Different disturbance scenarios are implemented on the test bed and then the system response is reported. In order to assess induced motion as a result of applied...
Modeling and velocity control of a-shape microrobot with adaptive neural network controller
, Article ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE) ; Vol. 4A, issue , 2014 ; Shirazi, M. J ; Vossoughi, G. R ; Salarieh, H ; Sharif University of Technology
Abstract
Design and control of micro robots have been one of the interesting fields in robotics in recent years. One class of these micro robots is the legged robots. Various designs of legged robots have been proposed in the literature. All designs rely on friction for locomotion. In this paper dynamic model of a planar two-legged micro robot is presented using Luger friction model, and an adaptive neural controller used to control the robot to improve robustness and velocity of the robot. As mentioned earlier, friction plays an important role in locomotion of the legged robots. However, especially in legged micro robots, it is difficult to model the frictional force correctly since environmental...
Fuzzy classification by multi-layer averaging: An application in speech recognition
, Article 3rd International Conference on Informatics in Control, Automation and Robotics, ICINCO 2006, Setubal, 1 August 2006 through 5 August 2006 ; Volume SPSMC , 2006 , Pages 122-126 ; 9728865619 (ISBN); 9789728865610 (ISBN) ; Shouraki, S. B ; Halavati, R ; Sharif University of Technology
2006
Abstract
This paper intends to introduce a simple fast space-efficient linear method for a general pattern recognition problem. The presented algorithm can find the closest match for a given sample within a number of samples which has already been introduced to the system. The fact of using averaging and fuzzy numbers in this method encourages that it may be a noise resistant recognition process. As a test bed, a problem of recognition of spoken words has been set forth to this algorithm. Test data contain clean and noisy samples and results have been compared to that of a widely used speech recognition method, HMM
A particle swarm-BFGS algorithm for nonlinear programming problems
, Article Computers and Operations Research ; Volume 40, Issue 4 , April , 2013 , Pages 963-972 ; 03050548 (ISSN) ; Aliakbari Shandiz, R ; Eshraghniaye Jahromi, A ; Sharif University of Technology
2013
Abstract
This article proposes a hybrid optimization algorithm based on a modified BFGS and particle swarm optimization to solve medium scale nonlinear programs. The hybrid algorithm integrates the modified BFGS into particle swarm optimization to solve augmented Lagrangian penalty function. In doing so, the algorithm launches into a global search over the solution space while keeping a detailed exploration into the neighborhoods. To shed light on the merit of the algorithm, we provide a test bed consisting of 30 test problems to compare our algorithm against two of its variations along with two state-of-the-art nonlinear optimization algorithms. The numerical experiments illustrate that the proposed...
Performance evaluation of energy management system in smart home using wireless sensor network
, Article 2012 2nd Iranian Conference on Smart Grids, ICSG 2012, 23 May 2012 through 24 May 2012 ; May , 2012 , Page(s): 1 - 8 ; 9781467313995 (ISBN) ; Haghnegahdar, M ; Jahangir, A. H ; Sanaei, E ; Sharif University of Technology
IEEE
2012
Abstract
In this paper we evaluate the performance of Energy Management and Building Automation Systems in smart environment using wireless sensor network. We describe some aspects of smart grid and then explain the related communication models of smart meters and building management or energy management systems in a smart home. We propose three models, then we compare these models and we select a model for our test bed. We implement the selected model in real environment using wireless sensor network. We analyse network delay to find out whether wireless sensor network is useful or not. With proposed model, we can save up to 57% in energy cost. Also, we develop In- home display to inform customers...
Neural networks control of autonomous underwater vehicle
, Article ICMEE 2010 - 2010 2nd International Conference on Mechanical and Electronics Engineering, Proceedings, 1 August 2010 through 3 August 2010 ; Volume 2 , August , 2010 , Pages V2117-V2121 ; 9781424474806 (ISBN) ; Khayyat, A. A ; Ghaemi Osgouie, K ; Sharif University of Technology
2010
Abstract
This paper describes a neural network controller for autonomous underwater vehicles (AUVs). The designed online multilayer perceptron neural network (OMLPNN) calculates forces and moments in earth fixed frame to eliminate the tracking errors of AUVs whose dynamics are highly nonlinear and time varying. Another OMLPNN has been designed to generate an inverse model of AUV, which determine the appropriate propeller's speed and control surfaces' angles receiving the forces and moments in the body fixed frame. The designed approximation based neural network controller with the use of the backpropagation learning algorithm has advantages and robustness to control the highly nonlinear dynamics of...
Design & implementation of a high precision & high dynamic range power consumption measurement system for smart energy IoT applications
, Article Measurement: Journal of the International Measurement Confederation ; Volume 146 , 2019 , Pages 458-466 ; 02632241 (ISSN) ; Atarodi, S. M ; Sharif University of Technology
Elsevier B.V
2019
Abstract
Internet of Things (IoT) devices have strict necessity for power consumption in order to achieve expected battery life. IoT nodes feature extreme power consumption range over 100 dB, between their operating modes. The main focus of this paper is to design and implement a high precision, high dynamic range, low power, and flexible power measurement system, which can be applied to different applications. The proposed system consists of a voltage regulating control loop, zero offset amplifiers, high precision analog to digital converters, and reference voltage. The proper operation of the proposed circuit are verified numerically with simulations and experimental measurements. The implemented...
Design & Implementation of high dynamic range current measurement system for Iot applications
, Article IEEE Transactions on Instrumentation and Measurement ; Volume 71 , 2022 ; 00189456 (ISSN) ; Atarodi, S. M ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2022
Abstract
Internet-of-Things (IoT) devices have a strict necessity for power consumption to achieve the expected battery life. Therefore, measuring and optimizing the energy consumption of IoT nodes are essential. IoT nodes feature extreme current consumption range over 100 dB between their operating modes. The main focus of this article is to design and implement a low-power and low-cost current measurement circuit, which can be integrated into IoT nodes. A new pass element is introduced for measuring the current consumption. This element is placed in the current path to measure current over a high dynamic range with a constant voltage drop. The introduced pass element consists of a capacitor and...