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Temperature gradient and wind profile effects on heavy gas dispersion in build up area
, Article Journal of Applied Sciences Research ; Volume 6, Issue 12 , 2010 , Pages 6010-6020 ; 1816157X (ISSN) ; Shahraki, F ; Rashtchian, D ; Behzadmehr, A ; Sharif University of Technology
Abstract
Dispersion of heavy gases is considered to be more hazardous than the passive ones. This is because it takes place more slowly. In this paper, based on the extensive experimental work of Hanna and Chang, the CFD model (Ansys-CFX) was tested compared with Kit Fox experiments. In order to accomplish this validation, the multiphase approach was employed as a new method in this area. In addition, the temperature gradient effects were investigated. The survey of wind speed was done taking factors such as time, height and direction into the consideration. To reduce the number of elements in computational domain, a combination of 2D and 3D geometries were utilized. Results showed that the wind...
Temperature gradient and wind profile effects on heavy gas dispersion in build up area
, Article Australian Journal of Basic and Applied Sciences ; Volume 4, Issue 12 , 2010 , Pages 6010-6020 ; 19918178 (ISSN) ; Shahraki, F ; Rashtchian, D ; Behzadmehr, A ; Sharif University of Technology
Abstract
Dispersion of heavy gases is considered to be more hazardous than the passive ones. This is because it takes place more slowly. In this paper, based on the extensive experimental work of Hanna and Chang, the CFD model (Ansys-CFX) was tested compared with Kit Fox experiments. In order to accomplish this validation, the multiphase approach was employed as a new method in this area. In addition, the temperature gradient effects were investigated. The survey of wind speed was done taking factors such as time, height and direction into the consideration. To reduce the number of elements in computational domain, a combination of 2D and 3D geometries were utilized. Results showed that the wind...
The effect of endurance training with cinnamon supplementation on plasma concentrations of liver enzymes (ALT,AST) in women with type II diabetes
, Article Tehran University Medical Journal ; Volume 74, Issue 6 , 2016 , Pages 433-441 ; 16831764 (ISSN) ; Asad, M. R ; Tabrizi, A ; Sharif University of Technology
Tehran University of Medical Sciences
2016
Abstract
Background: Diabetes is associated with many pathological changes and one of the most important consequences of the diabetes is hepatic injury. The present study was performed to investigate the effect of eight weeks endurance training with consumption of cinnamon supplementation on plasma concentrations of liver enzymes,alanine aminotransferase (ALT) and aspartate aminotransferase (AST) in women with type II diabetes. Methods: In this quasi-experimental study,36 female volunteers with type II diabetes (age 52.72±2.64 years and body mass index 29.28±2.94 Kg/m2) were participated. The subjects were homogenized regarding their body mass index and then were divided randomly into four groups...
Nonlinear vibration and comfort analysis of high-speed trains moving over railway bridges
, Article Proceedings of the 7th Biennial Conference on Engineering Systems Design and Analysis - 2004, Manchester, 19 July 2004 through 22 July 2004 ; Volume 2 , 2004 , Pages 237-246 ; 0791841731 (ISBN); 9780791841730 (ISBN) ; Thompson, D. J ; Younesian, D ; Jones, C. J. C ; Sharif University of Technology
American Society of Mechanical Engineers
2004
Abstract
The ride comfort of high-speed trains passing over railway bridges is studied in this paper. The effects of some nonlinear parameters in a carriage-track-bridge system are investigated such as the load-stiffening characteristics of the rail-pad and the ballast, rubber elements in the primary and secondary suspension systems. The influence of the track irregularity and train speed on two comfort indicators, namely Sperling's comfort index and the maximum acceleration level, are also studied. Timoshenko beam theory is used for modelling the rail and bridge and two layers of parallel damped springs in conjunction with a layer of mass are used to model the rail-pads, sleepers and ballast. A...
How will your tweet be received? predicting the sentiment polarity of tweet replies
, Article 15th IEEE International Conference on Semantic Computing, ICSC 2021, 27 January 2021 through 29 January 2021 ; 2021 , Pages 370-373 ; 9781728188997 (ISBN) ; Monajem, M ; Christlein, V ; Heinrich, P ; Nicolaou, A ; Naderi Boldaji, H ; Lotfinia, M ; Evert, S ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2021
Abstract
Twitter sentiment analysis, which often focuses on predicting the polarity of tweets, has attracted increasing attention over the last years, in particular with the rise of deep learning (DL). In this paper, we propose a new task: predicting the predominant sentiment among (first-order) replies to a given tweet. Therefore, we created RETwEET, a large dataset of tweets and replies manually annotated with sentiment labels. As a strong baseline, we propose a two-stage DL-based method: first, we create automatically labeled training data by applying a standard sentiment classifier to tweet replies and aggregating its predictions for each original tweet; our rationale is that individual errors...
Evolution of speech recognizer agents by artificial life
, Article Wec 05: Fourth World Enformatika Conference, Istanbul, 24 June 2005 through 26 June 2005 ; Volume 6 , 2005 , Pages 237-240 ; 9759845857 (ISBN) ; Bagheri Shouraki, S ; Harati Zadeh, S ; Lucas, C ; Ardil C ; Sharif University of Technology
2005
Abstract
Artificial Life can be used as an agent training approach in large state spaces. This paper presents an artificial life method to increase the training speed of some speech recognizer agents which where previously trained by genetic algorithms. Using this approach, vertical training (genetic mutations and selection) is combined with horizontal training (individual learning through reinforcement learning) and results in a much faster evolution than simple genetic algorithm. The approach is tested and a comparison with GA cases on a standard speech data base is presented. COPYRIGHT © ENFORMATIKA
An Optimization Model for Train Rescheduling Problem in a Disrupted Rail Network
, M.Sc. Thesis Sharif University of Technology ; Shafahi, Yousef (Supervisor)
Abstract
Nowadays a lot of people from all around the world travel by inter-city trains and this phenomenon is the direct result of the fact that this travel mode is more affordable and relatively comfortable in comparison to other modes. Furthermore, recent developments such as the emergence of high-speed rail lines have made rail transportation able to compete with other means of transportation such as airplanes. Therefore, the practice of maximizing train networks’ resilience against probable disruptions has drawn significant attention to itself. This study introduces a novel methodology in which train network resilience can be maximized through three stages. In the first stage, the critical nodes...
Investigation of wagon derailment moving on random rail irregularities Using nonlinear 3-dimentional model
, Article International Journal of Engineering, Transactions B: Applications ; Volume 21, Issue 4 , 2008 , Pages 385-400 ; 1728-144X (ISSN) ; Jalili, M. M ; Sharif University of Technology
Materials and Energy Research Center
2008
Abstract
Rail irregularity is one of the most effective factors in train derailment. theste irregularities have generally random distribution that are assumed to be stationary random and ergodic processes in space, with Gaussian amplitude probabiliy densities and zero mean values. The quality of irregularities, their distribution along the rails and wagon speed are the main factors for train derailment which is investigated in this article. The car model is nonlinear and three-dimensional with 48 DOF. Using simulation results, the safe speed for moving wagon on different types of random rail irregularities is also determined
ARAE: Adversarially robust training of autoencoders improves novelty detection
, Article Neural Networks ; Volume 144 , 2021 , Pages 726-736 ; 08936080 (ISSN) ; 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...
Anomaly Detection in Image and Video with Improved False Positive Rate
, M.Sc. Thesis Sharif University of Technology ; Rabiee, Hamid Reza (Supervisor) ; Rohban, Mohammad Reza (Supervisor)
Abstract
Autoencoder, as an essential part of many anomaly detection methods, is lacking flexibility on normal data in complex datasets. U-Net is proved to be effective for this purpose but overfits on the training data if trained by just using reconstruction error similar to other AE-based frameworks. Puzzle-solving, as a pretext task of self-supervised learning (SSL) methods, has earlier proved its ability in learning semantically meaningful features. We show that training U-Nets based on this task is an effective remedy that prevents overfitting and facilitates learning beyond pixel-level features. Shortcut solutions, however,are a big challenge in SSL tasks, including jigsaw puzzles. We propose...
A novel method of deinterleaving pulse repetition interval modulated sparse sequences in noisy environments
, Article IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences ; Vol. E97-A, issue. 5 , 2014 , pp. 1136-1139 ; ISSN: 17451337 ; Amiri, D ; Pezeshk, A.M ; Farzaneh, F ; Sharif University of Technology
Abstract
This letter presents a novel method based on sparsity, to solve the problem of deinterleaving pulse trains. The proposed method models the problem of deinterleaving pulse trains as an underdetermined system of linear equations. After determining the mixing matrix, we find sparsest solution of an underdetermined system of linear equations using basis pursuit denoising. This method is superior to previous ones in a number of aspects. First, spurious and missing pulses would not cause any performance reduction in the algorithm. Second, the algorithm works well despite the type of pulse repetition interval modulation that is used. Third, the proposed method is able to separate similar...
Face recognition across large pose variations via boosted tied factor analysis
, Article 2011 IEEE Workshop on Applications of Computer Vision, WACV 2011, 5 January 2011 through 7 January 2011 ; January , 2011 , Pages 190-195 ; 9781424494965 (ISBN) ; Rabiee, H. R ; Rohban, M. H ; Sharif University of Technology
2011
Abstract
In this paper, we propose an ensemble-based approach to boost performance of Tied Factor Analysis(TFA) to overcome some of the challenges in face recognition across large pose variations. We use Adaboost.m1 to boost TFA which has shown to possess state-of-the-art face recognition performance under large pose variations. To this end, we have employed boosting as a discriminative training in the TFA as a generative model. In this model, TFA is used as a base classiœr for the boosting algorithm and a weighted likelihood model for TFA is proposed to adjust the importance of each training data. Moreover, a modiÔd weighting and a diversity criterion are used to generate more diverse classiœrs in...
Haptic device application in persian calligraphy
, Article Proceedings - 2009 International Conference on Computer and Automation Engineering, ICCAE 2009, 8 March 2009 through 10 March 2009, Bangkok ; 2009 , Pages 160-164 ; 9780769535692 (ISBN) ; Meghdari, A ; Sharif University of Technology
2009
Abstract
The Haptic device is capable of interacting dynamically with the operator by the forces it can exert on human's hand. Controlling the haptic device and constraining it through the desired trajectory is the common task in the most of the training systems. Haptic interface application in virtual Persian handwriting learning system is investigated in this paper. Two different modes of learning is investigated: The full guidance mode, guides the user to follow a prerecorded trajectory by applying proper force to operator's hand; whereas in partial guidance, combination of haptics andvisual feedback guides the operator and prevents deviation from the desired trajectory. © 2009 IEEE
Cost allocation under competition: a new rail access charging policy
, Article EURO Journal on Transportation and Logistics ; Volume 8, Issue 5 , 2019 , Pages 511-534 ; 21924376 (ISSN) ; Talebian, M ; Sharif University of Technology
Springer
2019
Abstract
We consider a setting in which a rail infrastructure provider divides the track costs proportionally between the above-rail operators based on their usage. We study a proposed access charge regime aimed at incentivizing the operators to use longer train configurations. The regime sets a target length and gives a discount on an operator’s charge if it deploys a configuration of at least the target. That is, the operators may be able to reduce their access charges by deploying a longer train configuration. We analyze the policy, and conditions under which both operators have an incentive to deploy long train configurations. © 2018, Springer-Verlag GmbH Germany, part of Springer Nature and EURO...
A non-linear mapping representing human action recognition under missing modality problem in video data
, Article Measurement: Journal of the International Measurement Confederation ; Volume 186 , 2021 ; 02632241 (ISSN) ; Razzazi, F ; Amini, A ; Sharif University of Technology
Elsevier B.V
2021
Abstract
Human action recognition by using standard video files is a well-studied problem in the literature. In this study, we assume to have access to single modality standard data of some actions (training data). Based on this data, we aim at identifying the actions that are present in a target modality video data without any explicit source–target relationship information. In this case, the training and test phases of the recognition task are based on different imaging modalities. Our goal in this paper is to introduce a mapping (a nonlinear operator) on both modalities such that the outcome shares some common features. These common features were then used to recognize the actions in each domain....
SELM: Software engineering of machine learning models
, Article 20th International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2021, 21 September 2021 through 23 September 2021 ; Volume 337 , 2021 , Pages 48-54 ; 09226389 (ISSN); 9781643681948 (ISBN) ; Besharati, M. R ; Hourali, M ; Sharif University of Technology
IOS Press BV
2021
Abstract
One of the pillars of any machine learning model is its concepts. Using software engineering, we can engineer these concepts and then develop and expand them. In this article, we present a SELM framework for Software Engineering of machine Learning Models. We then evaluate this framework through a case study. Using the SELM framework, we can improve a machine learning process efficiency and provide more accuracy in learning with less processing hardware resources and a smaller training dataset. This issue highlights the importance of an interdisciplinary approach to machine learning. Therefore, in this article, we have provided interdisciplinary teams' proposals for machine learning. © 2021...
Real-time output feedback neurolinearization
, Article Iranian Journal of Chemistry and Chemical Engineering ; Volume 28, Issue 2 , 2009 , Pages 121-130 ; 10219986 (ISSN) ; Bozorgmehry Boozarjomehry, R ; Sharif University of Technology
2009
Abstract
An adaptive input-output linearization method for general nonlinear systems is developed without using states of the system. Another key feature of this structure is the fact that, it does not need model of the system. In this scheme, neurolinearizer has few weights, so it is practical in adaptive situations. Online training of neurolinearizer is compared to model predictive recurrent training. Relationships between this controller and neural network based model reference adaptive controller are established. A CSTR reactor and pH control in a neutralization process illustrate performance of this method. Simulation studies show a superior performance with respect to a PI controller
Enhancing focused crawling with genetic algorithms
, Article ITCC 2005 - International Conference on Information Technology: Coding and Computing, Las Vegas, NV, 4 April 2005 through 6 April 2005 ; Volume 2 , 2005 , Pages 503-508 ; 0769523153 (ISBN); 9780769523156 (ISBN) ; Chubak, P ; Raeesy, Z ; Sharif University of Technology
Institute of Electrical and Electronics Engineers Inc
2005
Abstract
Web crawlers are one of the most crucial components in search engines and their optimization would have a great effect on improving the searching efficiency. In this paper, we introduce an intelligent crawler called Gcrawler that uses a genetic algorithm for improving its crawling performance. Gcrawler estimates the best path for crawling on one hand and expands its initial keywords by using a genetic algorithm during the crawling on the other hand. This is the first crawler that acts intelligently without any relevance feedback or training. All the processes are online and there is no need for direct interaction with the users. © 2005 IEEE
Endurance exercise training under normal diet conditions activates skeletal muscle protein synthesis and inhibits protein degradation signaling except MuRF1
, Article Sport Sciences for Health ; Volume 18, Issue 3 , 2022 , Pages 1033-1041 ; 18247490 (ISSN) ; Seifabadi, M ; Asad, M. R ; Sharif University of Technology
Springer-Verlag Italia s.r.l
2022
Abstract
Purpose: Loss of skeletal muscle mass, which depends on a balance between protein synthesis and degradation, is common in sarcopenia, cachexia, and some diseases. The purpose of this study was to investigate the alterations and interactions of protein synthesis and degradation signaling components induced by 8-week endurance exercise training with a normal diet. Methods: Two exercise (n = 8) and control (n = 7) groups of Wistar rats were kept under standard conditions. The exercise group performed 8-week endurance running at 65–70% VO2max, 30–60 min, on a treadmill with 0° slope, and the rats of the control group were maintained under identical conditions except exercise training....
Train Scheduling on a two-Way and Single Track Railway Line Considering the Train Stops for Prayer
, M.Sc. Thesis Sharif University of Technology ; Salmasi, Naser (Supervisor)
Abstract
Train scheduling is one of the most complicated stages of railway planning. In this stage, the arrival and departure times of trains at stations are determined. In this thesis, we studied train scheduling on a two-way and single track railway in order to minimize the total travel times of trains subject to a set of operational constraints and prayer time related constraints that determines the optimal station for prayer. In this project, we tried to simulate the real constraints exist in IRAN railway network and the objective function considers customer’s and railway management’s satisfaction, simultaneously. First, a mathematical programming is proposed for this problem. After demonstrating...