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HAFTA: Highly available fault-tolerant architecture to protect SRAM-based reconfigurable devices against multiple bit upsets
, Article IEEE Transactions on Device and Materials Reliability ; Volume 13, Issue 1 , November , 2013 , Pages 203-212 ; 15304388 (ISSN) ; Miremadi, S. G ; Asadi, H ; Fazeli, M ; Sharif University of Technology
2013
Abstract
Despite widespread use of SRAM-based reconfigurable devices (SRDs) in mainstream applications, their usage has been very limited in enterprise and safety-critical applications due to SRAM susceptibility to soft errors. Previous mitigation techniques to protect SRDs impose significant area and power overheads. Additionally, they suffer from susceptibility of configuration bits to multiple bit upsets (MBUs). In this paper, we present a highly available fault-tolerant architecture to protect SRD-based designs against MBUs in both configuration and user bits. In the proposed architecture, the entire design is duplicated with respect to the relative locations of logic blocks within the SRD and...
Low-cost scan-chain-based technique to recover multiple errors in TMR systems
, Article IEEE Transactions on Very Large Scale Integration (VLSI) Systems ; Volume 21, Issue 8 , 2013 , Pages 1454-1468 ; 10638210 (ISSN) ; Miremadi, S. G ; Asadi, H ; Fazeli, M ; Sharif University of Technology
2013
Abstract
In this paper, we present a scan-chain-based multiple error recovery technique for triple modular redundancy (TMR) systems (SMERTMR). The proposed technique reuses scan-chain flip-flops fabricated for testability purposes to detect and correct faulty modules in the presence of single or multiple transient faults. In the proposed technique, the manifested errors are detected at the modules' outputs, while the latent faults are detected by comparing the internal states of the TMR modules. Upon detection of any mismatch, the faulty modules are located and the state of a fault-free module is copied into the faulty modules. In case of detecting a permanent fault, the system is degraded to a...
CDSEG: Community detection for extracting dominant segments in color images
, Article ISPA 2011 - 7th International Symposium on Image and Signal Processing and Analysis ; 2011 , Pages 177-182 ; 9789531841597 (ISBN) ; Abin, A.A ; Jamzad, M ; Sharif University of Technology
Abstract
Segmentation plays an important role in the machine vision field. Extraction of dominant segments with large number of pixels is essential for some applications such as object detection. In this paper, a new approach is proposed for color image segmentation which uses ideas behind the social science and complex networks to find dominant segments. At first, we extract the color and texture information for each pixel of input image. A network that consists of some nodes and edges is constructed based on the extracted information. The idea of community detection in social networks is used to partition a color image into disjoint segments. Community detection means partitioning vertices of a...
A mixture of modular structures to describe human motor planning level: A new perspective based on motor decomposition
, Article 2011 18th Iranian Conference of Biomedical Engineering, ICBME 2011 ; 2011 , Pages 199-204 ; 9781467310055 (ISBN) ; Andani, M. E ; Fattah, A ; Parnianpour, M ; Sharif University of Technology
Abstract
A modular hierarchical structure is developed to describe human movement planning level. The modular feature of the proposed model enables it to generalize planning a task. The movements are planned based on decomposing a task into its corresponding subtasks (motion phases). There is a module responsible for one condition. The final plan is constructed using soft computing of the plans proposed by different modules. Each module estimates the kinematics of the joints at the end of each subtask; we call them kinematic estimator modules (KEMs). A timing module estimates the duration of motion and a gating module determines the responsibility of each KEM under different conditions. To evaluate...
A cooperative learning method based on cellular learning automata and its application in optimization problems
, Article Journal of Computational Science ; Volume 11 , November , 2015 , Pages 279–288 ; 18777503 (ISSN) ; Shiri, M. E ; Beigy, H ; Sharif University of Technology
Elsevier
2015
Abstract
In this paper, a novel reinforcement learning method inspired by the way humans learn from others is presented. This method is developed based on cellular learning automata featuring a modular design and cooperation techniques. The modular design brings flexibility, reusability and applicability in a wide range of problems to the method. This paper focuses on analyzing sensitivity of the method's parameters and the applicability in optimization problems. Results of the experiments justify that the new method outperforms similar ones because of employing knowledge sharing technique, reasonable exploration logic, and learning rules based on the action trajectory
Design optimization of gimbal robotic joints based on task space manipulability
, Article ASME 2010 10th Biennial Conference on Engineering Systems Design and Analysis, ESDA2010, 12 July 2010 through 14 July 2010 ; Volume 3 , July , 2010 , Pages 567-572 ; 9780791849170 (ISBN) ; Hemmatian, I ; Ghaemi Osgouie, K ; Sharif University of Technology
2010
Abstract
Featuring a nonlinear novel design, Gimbal transmission, is a replacement for traditional robotic joints like gearboxes and revolute joints. This mechanism is one of the most recent types of nonlinear direct transmission (DT) methods in robots. As an alternative for traditional drive methodologies - herein called direct drive transmission (DD) methods, DT provides dynamic coupling and joint interaction attenuation while its capability to be adjusted for a desired task space point, smooth input-output characteristic, and varying reduction ratio lead to a desired force and motion behavior for the whole manipulator. In this paper, design optimization of a gimbal mechanism used as a replacement...
Evidence-based mixture of MLP-experts
, Article Proceedings of the International Joint Conference on Neural Networks, 18 July 2010 through 23 July 2010 ; July , 2010 ; 9781424469178 (ISBN) ; Rostami, M ; Tabassian, M ; Sajedin, A ; Ebrahimpour, R ; Sharif University of Technology
2010
Abstract
Mixture of Experts (ME) is a modular neural network architecture for supervised learning. In this paper, we propose an evidence-based ME to deal with the classification problem. In the basic form of ME the problem space is automatically divided into several subspaces for the experts and the outputs of experts are combined by a gating network. Satisfactory performance of the basic ME depends on the diversity among experts. In conventional ME, different initialization of experts and supervision of the gating network during the learning procedure, provide the diversity. The main idea of our proposed method is to employ the Dempster-Shafer (D-S) theory of evidence to improve determination of...
Fault diagnosis in robot manipulators in presence of modeling uncertainty and sensor noise
, Article Proceedings of the IEEE International Conference on Control Applications, 8 July 2009 through 10 July 2009, Saint Petersburg ; 2009 , Pages 1750-1755 ; 9781424446025 (ISBN) ; Namvar, M ; Sharif University of Technology
Abstract
In this paper, we introduce a new approach to fault detection and isolation for robot manipulators. Our technique is based on using a new simplified Euler-Lagrange (EL) equation that reduces complexity of the proposed fault detection method. The proposed approach isolates the faults and is capable of handling the uncertainty in manipulator gravity vector. It is shown that the effect of uncalibrated torque sensor measurement is asymptotically rejected in the detection process. A simulation example is presented to illustrate the results. © 2009 IEEE
Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)
, Article International Journal of Production Research ; 2017 , Pages 1-23 ; 00207543 (ISSN) ; Houshmand, M ; Fatahi Valilai, O ; Sharif University of Technology
Abstract
The dynamic nature of today’s manufacturing industry, which is caused by the intense global competition and constant technological advancements, requires systems that are highly adaptive and responsive to demand fluctuations. Reconfigurable manufacturing systems (RMS) enable such responsiveness through their main characteristics. This paper addresses the problem of RMS configuration design, where the demand of a single product varies throughout its production life cycle, and the system configuration must change accordingly to satisfy the required demand with minimum cost. A two-phased method is developed to handle the primary system configuration design and the necessary system...
Experimental investigation of a modular wind tower in hot and dry regions
, Article Energy for Sustainable Development ; Volume 39 , 2017 , Pages 21-28 ; 09730826 (ISSN) ; Bahadori, M. N ; Dehghani Sanij, A. R ; Sharif University of Technology
Elsevier B.V
2017
Abstract
Passive cooling systems such as wind towers or wind catchers can create thermal comfort for building residents in hot and dry regions. This paper introduces an experimental study of a modular design of wind tower called the modular wind tower with wetted surfaces. Air temperature, relative humidity (RH) and airflow velocity parameters were measured at different times and at points when the velocity of the ambient air was zero. The results show that the modular wind tower can decrease the air temperature by an average of 10 °C and increase the relative humidity of airflow in a building by approximately 36% on average. Additionally, the wind tower can create the airflow velocity entering the...
Performance evaluation of a modular design ofwind tower withwetted surfaces
, Article Energies ; Volume 10, Issue 7 , 2017 ; 19961073 (ISSN) ; Bahadori, M. N ; Dehghani Sanij, A ; Nourbakhsh, A ; Sharif University of Technology
MDPI AG
2017
Abstract
Wind towers or wind catchers, as passive cooling systems, can provide natural ventilation in buildings located in hot, arid regions. These natural cooling systems can provide thermal comfort for the building inhabitants throughout the warm months. In this paper, a modular design of a wind tower is introduced. The design, called a modular wind tower with wetted surfaces, was investigated experimentally and analytically. To determine the performance of the wind tower, air temperature, relative humidity (RH) and air velocity were measured at different points. Measurements were carried out when the wind speed was zero. The experimental results were compared with the analytical ones. The results...
Configuration design in scalable reconfigurable manufacturing systems (RMS); a case of single-product flow line (SPFL)
, Article International Journal of Production Research ; Volume 56, Issue 11 , 2018 , Pages 3932-3954 ; 00207543 (ISSN) ; Houshmand, M ; Fatahi Valilai, O ; Sharif University of Technology
Taylor and Francis Ltd
2018
Abstract
The dynamic nature of today’s manufacturing industry, which is caused by the intense global competition and constant technological advancements, requires systems that are highly adaptive and responsive to demand fluctuations. Reconfigurable manufacturing systems (RMS) enable such responsiveness through their main characteristics. This paper addresses the problem of RMS configuration design, where the demand of a single product varies throughout its production life cycle, and the system configuration must change accordingly to satisfy the required demand with minimum cost. A two-phased method is developed to handle the primary system configuration design and the necessary system...
Directing the search in the fast forward planning
, Article 13th International Computer Society of Iran Computer Conference on Advances in Computer Science and Engineering, CSICC 2008, Kish Island, 9 March 2008 through 11 March 2008 ; Volume 6 CCIS , 2008 , Pages 857-861 ; 18650929 (ISSN); 3540899847 (ISBN); 9783540899846 (ISBN) ; Ghassem Sani, G. R ; Sharif University of Technology
2008
Abstract
In this paper, we introduce DiFF, a novel extension of the Fast Forward (FF) planning system. FF is a domain independent planner that employs a forward heuristic search. Its search strategy is an enforced form of hill climbing. In order to move to a more promising state, FF evaluates successor states without any particular order. In this paper, we introduce a new form of the enforced hill climbing, which we call directed enforced hill climbing, to enhance the efficiency of Fast Forward planning. This strategy evaluates successor states in the order recommended by an adaptive heuristic function. Our experimental results in several planning domains show a significant improvement in the...
Half-band FIR fractional delay filters with closed-form coefficient formulas and modular implementation based on Lagrange interpolators
, Article Signal Processing ; Volume 88, Issue 12 , 2008 , Pages 2913-2916 ; 01651684 (ISSN) ; Sharif University of Technology
2008
Abstract
The Taylor series-based representation of the maximally flat (MF) FIR fractional delay (FD) filter is manipulated to obtain a FD filter with a wider band-width. The band-width of the proposed filter can approach π / 2 rads / s, which is 1.5 times that of the prototype one. The design has closed-form coefficient formulas as well as a modular implementation. These two properties make it a practically favourable one. © 2008 Elsevier B.V. All rights reserved
Simulation of superconductive fault current limiter (SFCL) using modular neural networks
, Article IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, Paris, 6 November 2006 through 10 November 2006 ; 2006 , Pages 4415-4419 ; 1424401364 (ISBN); 9781424401369 (ISBN) ; Sadati, N ; Sohani, M ; Sharif University of Technology
2006
Abstract
Modular Neural Networks have had significant success in a wide range of applications because of their superiority over single non-modular ones in terms of proper data representation, feasibility of hardware implementation and faster learning. This paper presents a constructive multilayer neural network (CMNN) in conjunction with a Hopfield model using a new cost function to simulate the behavior of superconductive fault current limiters (SFCLs). The results show that the proposed approach can efficiently simulate the behavior of SFCLs. ©2006 IEEE
Hardware architecture for supersingular isogeny diffie-hellman and key encapsulation using a fast montgomery multiplier
, Article IEEE Transactions on Circuits and Systems I: Regular Papers ; Volume 68, Issue 5 , 2021 , Pages 2042-2050 ; 15498328 (ISSN) ; Bayat Sarmadi, S ; Mosanaei Boorani, H ; Alivand, A ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Public key cryptography lies among the most important bases of security protocols. The classic instances of these cryptosystems are no longer secure when a large-scale quantum computer emerges. These cryptosystems must be replaced by post-quantum ones, such as isogeny-based cryptographic schemes. Supersingular isogeny Diffie-Hellman (SIDH) and key encapsulation (SIKE) are two of the most important such schemes. To improve the performance of these protocols, we have designed several modular multipliers. These multipliers have been implemented for all the prime fields used in SIKE round 3, on a Virtex-7 FPGA, showing a time and area-time product improvement of up to 60.1% and 64.5%,...
Heavy mobile crane lift path planning in congested modular industrial plants using a robotics approach
, Article Automation in Construction ; Volume 122 , 2021 ; 09265805 (ISSN) ; Taghaddos, H ; Mousaei, A ; Behzadipour, S ; Hermann, U ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Lift path planning is a significant subtask in constructability analysis, sequencing, and scheduling of congested industrial modular projects, impacting project cost, and safety. Although intuitive lift planning is still prevalent among the practitioners, this manual process might be tedious and error-prone for hundreds of lifts. This research presents an automated lift path planning method for heavy crawler cranes in no-walk scenarios employing a robotics approach. This method treats the lifted object as a three-degree-of-freedom convex mobile robot with discretized rotational and continuous translational motions. The proposed resolution-complete method models the crane capacity chart,...
Optimal tuner selection using Kalman lter for a real-time modular gas turbine model
, Article Scientia Iranica ; Volume 27, Issue 2 , 2021 , Pages 806-818 ; 10263098 (ISSN) ; Vossughi, G ; Alasty, A ; Sharif University of Technology
Sharif University of Technology
2021
Abstract
In this study, a real-time exible modular modeling approach to simulating the dynamic behavior of gas turbine engines based on nonlinear thermodynamic and dynamic laws is addressed. The introduced model, which is developed in the Matlab-Simulink environment, is an object-oriented high-speed real-time computer model and is capable of simulating the dynamic behavior of a broad group of gas turbine engines due to its modular structure. Moreover, a Kalman lter-based model tuning procedure is applied to decrease the modeling errors. Modeling errors are de ned as the mismatch between simulation results and available experimental data. This tuning procedure is an underdetermined estimation problem,...
Post-Fault Control of Fault-Tolerant Multi Module Converters
, M.Sc. Thesis Sharif University of Technology ; Zolghadri, Mohammad Reza (Supervisor)
Abstract
Nowadays, multilevel converters are significantly developed in industrial applications as well as energy transmission systems regarding proper quality of output waveforms and fault tolerant operation ability. Among the different topologies of multilevel converters, modular multilevel converter (MMC) due to its modularity feature it more accepted in high voltage direct current (HVDC) transmission systems. Fast fault detection in power electronics converters is necessary to bypass the defected part in order to prevent failure propagation to other Submodules and to provide continues servicing. On this basis, different researches are reported in literature for MMCs fault tolerant operation. In...
Optimal Design of Medium Voltage Modular Multilevel Inverter with Reliability Consideration
, M.Sc. Thesis Sharif University of Technology ; Zolghadri, Mohammad Reza (Supervisor)
Abstract
Modular multilevel converters provide higher output voltage levels than switches rated voltages by switching between cascaded modules. Increasing the number of modules might results in less reliability because of an increase in the number of elements. On the other hand, an increase in the number of modules decreases the semiconductors rated voltage, switches power losses and thermal stresses and consequently a lower switches failure rate is expected. Therefore the optimal number of modules, would minimize the failure rate. To investigate it, in this project, first fundamental elements of converter are designed for a MMC with different number of output levels, to drive a medium voltage medium...