Managing Old and Obsolete Knowledge: Exploring the Pattern of Unlearning Actions Based on Different Knowledge Types, The Case of Iranian Software Industry

, Ph.D. Dissertation Sharif University of Technology Rezazade Mehrizi, Mohammad Hossein (Author) ; Ghasemzadeh, Fereidoun (Supervisor) ; Kermanshah, Ali ($item.subfieldsMap.e)

Abstract

The rapid technological changes have faced organizations with a new challenge: old and obsolete knowledge when it hampers organizational change or creates some kind of possible negative impact. Hence, in many cases, companies need to actively deal with such old and obsolete knowledge and their possible negative impacts in order to survive in highly competitive market. Defining unlearning as the intentional process of managing the old and obsolete knowledge in order to reduce its possible negative impacts, this study focuses on how organizations manage their old and obsolete knowledge and how the pattern of unlearning actions varies based on different types of knowledge.
Analyzing the...

Stakeholder mapping as an assessment framework for policy implementation

, Article Evaluation ; Volume 15, Issue 4 , 2009 , Pages 427-444 ; 13563890 (ISSN) Rezazade Mehrizi, M. H ; Ghasemzadeh, F ; Molas Gallart, J ; Sharif University of Technology

2009

Abstract

In this article we develop a 'Stakeholder Mapping' approach to ex-ante policy evaluation. The proposed framework helps to assess policy implementation activities by applying several tests to evaluate the completeness, non-redundancy, proper assignment and internal consistency of a policy design. We illustrate the method by applying it to the analysis of e-commerce policy in Iran. We conclude by assessing the strengths and weaknesses of the approach. © 2009 SAGE Publications

The Impact of Information Sharing on Performance of an M/M/1 Queueing System

, M.Sc. Thesis Sharif University of Technology Eshraghi, Mohammad Hossein (Author) ; Abouee-Mehrizi, Hossein (Supervisor)

Abstract

Social media can be helpful to people in vast areas, especially in queuing systems, in the real world there is remarkably unknown information like service time, average waiting time or average queue length to customers, thus people are likely to share their experiences to posterior customers who want to use the same service. This research examines the impact of user-generated reviews, on the performances of a Markovian queuing system, we assumed that customers are not aware of the service rate, therefore they will assist next customers by writing reviews about their service time they had experienced. We intend to examine the impact of information on queueing performance such as system...

Knowledge active forgetting: the forgotten side of knowledge management

, Article PICMET 2009 - 2009 Portland International Conference on Management of Engineering and Technology, Portland, OR, 2 August 2009 through 6 August ; 2009 , Pages 1007-1018 ; 1890843202 (ISBN); 9781890843205 (ISBN) Rezazade Mehrizi, M. H ; Bagherzadeh Niri, M ; Rahimi, M ; Yarmand, H ; Sharif University of Technology

2009

Abstract

As Gregory Bateson, the British social scientists, once said "You can't live without an eraser", the process of learning is not a unidirectional way toward accumulation of knowledge, rather, organizations should critically evaluate the value of their knowledge and if necessary, actively forget no-longer-useful knowledge. A brief review of related literature shows that the concept of knowledge active forgetting (KAF) is a crucial aspect of organizational learning and knowledge management. However, many aspects of this topic deserve more attention by researchers. The main gap in the literature seems to be related to the linkage between peculiar aspects of knowledge (such as stickiness, context...

Terminal Flight Path Optimization Pattern for High Traffic Airports for Noise

, M.Sc. Thesis Sharif University of Technology Mostaghimi Rezazade, Saeed (Author) ; Malaek, Mohammad Bagher (Supervisor)

Abstract

The only problem in aviation and airport development is the noise print on population groups surrounding airports due to its high frequency it is so annoying for human ear. In order to overcome this problem technology has reached its edge and the only alternative is to deviate terminal flight path.In this thesis I tried find a pattern for optimizing terminal flight path considering a Boeing 737-800 taking off from Mehrabad airport’s runway 29. To do this we were in need of a huge database of airplane low speed model, geographic information and population knowledge.The common approaches used by FAA and other international organizations for modeling low speed flight were used. The influence of...

Cooperative Multi-robot for Path Planning

, M.Sc. Thesis Sharif University of Technology Abouei Mehrizi, Mohammad (Author) ; Ghodsi, Mohammad (Supervisor)

Abstract

This thesis examines cooperating robots with minimal sensing to find the particular target described in unknown surroundings. Due to the very high cost sensor robots, Recently researchers are going to use of simple sensors for robot in special purpose and reduce costs. Of course it is clear that doing so will decrease the accuracy and efficiency of the robot and we are going to provide an efficient algorithm for performing the desired action with a good competitive factor. In this thesis the robots movement is online and robots have no knowledge of their environment (such as maps), they only using the data is gathered from the sensors to decide how to move. The accuracy of this information...

Impact of Market Heterogeneity on Location and Pricing

, Ph.D. Dissertation Sharif University of Technology Sedghi, Nafiseh (Author) ; Shavandi, Hassan (Supervisor) ; Abouee-Mehrizi, Hossein (Supervisor)

Abstract

Market heterogeneity is an essential element in the strategic decision making of firms. Today, differences in urban structures, product varieties, and information availability have created new heterogeneities that deviate from the ones in the classic literature of marketing and industrial organization. Thus a new perspective is needed for analyzing the firms' decisions in these markets. In this thesis, we study the effect of heterogeneous markets on the pricing, location, quality, and product line introduction strategy of a firm to find the optimal reaction of a firm entering these markets. In this regard, we first assume that consumers are not only located at different places in the market...

Robots’ cooperation for finding a target in streets

, Article 1st IFIP WG 1.8 International Conference on Topics in Theoretical Computer Science, 26 August 2015 through 28 August 2015 ; Volume 9541 , 2016 , Pages 30-43 ; 03029743 (ISSN) ; 9783319286778 (ISBN) Mehrizi, M. A ; Ghodsi, M ; Tabatabaei, A

Springer Verlag 2016

Abstract

We study the problem of finding a target t from a start point s in street environments with the cooperation of two robots which have a minimal sensing capability; that is, robots do not know any information about the workspace including information on distances, edges, coordinates, angles etc. They just can detect the discontinuities in the visibility region of their location. The robots can detect target point t as soon as it enters their visibility region and have communication peripherals to send messages to each other. Our aim is to minimize the length of the path passed by the robots. We propose an online algorithm for robots such that they move in the workspace and find the target....

Application of optimal PWM of induction motor in synchronous machines at high power ratings

, Article 2007 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM, Zurich, 4 September 2007 through 7 September 2007 ; 2007 ; 1424412641 (ISBN); 9781424412648 (ISBN) Sayyah, A ; Aflaki, M ; Rezazade, A ; Sharif University of Technology

2007

Abstract

The proposed current harmonic model for high-power synchronous machines is dependent on the inductances of quadrature and direct axes. Variation of these parameters, as a consequence of modification in operating point, aging and temperature rise, in-progress pulse patterns, are no longer optimal solutions for minimization of harmonic losses. On the other hand, offline calculation of optimal pulse patterns for slight changes in these parameters, and storing them in read-only memories to serve as look-up tables, give rise to immoderate computational burden and unmanageable look-up tables. Notwithstanding performing online identification process and offline calculation of optimal pulse...

Combustible organic materials : determination and prediction of combustion properties

, Book Keshavarz, M. H

De Gruyter 2018

Optimization of Process Plant Layout and Pipe Routing

, M.Sc. Thesis Sharif University of Technology Mehrizi, Rahil (Author) ; Shadrokh, Shahram (Supervisor)

Abstract

Process plants such as refineries and petrochemical plants are complex facilities consisting of equipment, piping systems, instruments, electrical systems, computers, and control systems. Process units design is mostly based on designer`s experience and design general criteria and standards. Using mathematical methods to optimize the design may have an effective role in cost reduction and it would give the designer some general view in case that the exact design is not applicable.
Optimization of Process units is described in this study. This optimization includes the exact location of each equipment, nozzle, pipe rack and also pipe route layouts. Mixed integer linear programming (MILP)...

GA-based optimization of total harmonic current distortion and suppression of chosen harmonics in induction motors

, Article International Symposium on Power Electronics, Electrical Drives, Automation and Motion, 2006. SPEEDAM 2006, Taormina, 23 May 2006 through 26 May 2006 ; Volume 2006 , 2006 , Pages 1361-1366 ; 1424401941 (ISBN); 9781424401949 (ISBN) Sayyah, A ; Aflaki, M ; Rezazade, A. R ; Sharif University of Technology

2006

Abstract

In this study, a genetic algorithm optimization technique is applied, to minimize the total harmonic current distortion (THCD) in induction motors fed by high power inverters, based on an approximate model. That is, having defined a desired fundamental output voltage, optimal pulse patterns (switching angles) are determined to produce the fundamental output voltage while minimizing the THCD. The complete results for two cases of 3 and 5 switching instants in the first quarter period of PWM waveform are presented. In the sequel, considering that the torque pulsation is mainly affected by the presence of low-order harmonics, the fifth, seventh, 11th, and 13th order harmonics (in the case of 5...

Optimization of THD and suppressing certain order harmonics in PWM inverters using genetic algorithms

, Article Joint 2006 IEEE Conference on Control Applications (CCA), Computer-Aided Control Systems Design Symposium (CACSD) and International Symposium on Intelligent Control (ISIC), Munich, 4 October 2006 through 6 October 2006 ; 2006 , Pages 874-879 ; 0780397983 (ISBN); 9780780397989 (ISBN) Sayyah, A ; Aflaki, M ; Rezazade, A. R ; Sharif University of Technology

2006

Abstract

In this paper the aim is to minimize the total harmonic distortion (THD) in PWM inverters while suppressing chosen harmonics concurrently and maintaining the fundamental component of the output voltage at a required level. This is reformed as an optimization task and the optimal pulse patterns are accomplished using genetic algorithm (GA) optimization technique to minimize a predefined fitness function. The complete solutions that suppress the 5 th and 7 th harmonics and optimize the THD are given. A practical limitation on the determination of sequential switching angles has been considered as a set of constraints in derivation of the results. © 2006 IEEE

Optimal PWM for minimization of total harmonic current distortion in high-power induction motors using genetic algorithms

, Article 2006 SICE-ICASE International Joint Conference, Busan, 18 October 2006 through 21 October 2006 ; 2006 , Pages 5494-5499 ; 8995003855 (ISBN); 9788995003855 (ISBN) Sayyah, A ; Aflaki, M ; Rezazade, A. R ; Sharif University of Technology

2006

Abstract

This study presents a powerful application of genetic algorithm (GA) for the minimization of the total harmonic current distortion (THCD) in high-power induction motors fed by voltage source inverters, based on an approximate harmonic model. That is, optimal pulse patterns (switching angles) are determined to have the THCD minimized and the fundamental output voltage regulated concurrently. As the minimization of THCD corresponds to the minimization of harmonic copper losses of the motor windings, GA optimization technique has been utilized, in comparison with conventional optimization methods due to its capabilities of searching the entire solution space with more probability of finding the...

The Study of Eliminating Gender Gap in Iran Labor Market on Participation Rate of Married Urban Women

, M.Sc. Thesis Sharif University of Technology Asghari, Fatemeh (Author) ; Rahmati, Mohammad Hossein (Supervisor) ; Joshaghani, Hossein (Supervisor)

Abstract

The low female labor force participation rate in the Iranian labor market relative to the global average and even to countries that do not differ significantly from the socio-economic characteristics of our country is one of the important questions of the Iranian labor market. In this study, we seek to answer the question of whether the economic participation rate of married women will increase if the gender gaps in wages, job findings and job losses among women and men are eliminated in the Iranian labor market. To answer this question using household expenditure and income data and labor force data, we show that between the two categories of occupations, in terms of the share of women's...

Crack Detection in a Rotor using Traditional Mode Shape Based Modal Analysis Methods and Experimental Evaluation

, M.Sc. Thesis Sharif University of Technology Ashtiani, Mohammad Reza (Author) ; Mohammad Navazi, Hossein (Supervisor)

Abstract

Fatigue crack growth can have harmful effects on the reliability rotary machine. While an early warning to crack, can be used to extend the life of these expensive machines and increase reliability.Structural Vibration Condition Monitoring as a primary fault detection method, achieved to a lot amazing result and for this reason studies vibration behavior of cracked rotational shaft is a big issue for engineers of dynamic machine.In this research, first check the fault detection methods based on structural vibration condition monitoring, mode shape methods were extracted. Then by modeling rotational shaft in computer and creation of crack on it, fault detection quality of these methods have...

Investigating and Analyzing the Optimal Method for Construction of Keshavarz Metro Station on Line Three of Esfahan Urban Railway

, M.Sc. Thesis Sharif University of Technology Torabi Ziaratgahi, Mohammad Ali (Author) ; Sadaghiani, Mohammad Hossein (Supervisor)

Abstract

It is important to provide an appropriate and economically method with technical and engineering considerations to stabilize excavated underground spaces. The necessity of this, especially for the construction of underground metro stations located in the cities which faces many problems, is more evident. In this research, it has been tried to introduce an optimal method according to the type of area for the construction of the underground station. In order to obtain stress and strain condition in structural elements and surface deformations due to different stages of excavating, numerical modeling in FLAC3D has been used. By examining the parameters that affect the sustainability of this...

The Effect of Increasing The Value of Natural Gas Production on Property Value, Wages, Unemployment Rate and Birth Rate in The United States of America (2000-2011)

, M.Sc. Thesis Sharif University of Technology Asgari, Mohammad Hossein (Author) ; Rahmati, Mohammad Hossein (Supervisor)

Abstract

In the present study, the effects of increasing the value of shale gas production, either due to increased production or price increases, have been studied on economic variables such as employment, wage, property value and the number of births. In this regard, the data for each of these variables was used at the county level in the United States of America between 2000 and 2011. In order to estimate the desired effects, counties are divided into two types of boom and non-boom counties. The findings indicate that increasing natural gas production will lead to more employment and wage growth in boom counties than non-boom counties. Also, during the period of increasing production, the value of...

Inflationary Permanent and Long-Term Positive Interest Rate Shocks

, M.Sc. Thesis Sharif University of Technology Ahmadian, Mohammad Hesam (Author) ; Rahmati, Mohammad Hossein (Supervisor)

Abstract

Co-movement between inflation and nominal interest in response to an interest rate shock, dubbed neo-fisherianism, has been the subject of contentious debate since the advent of non-inflationary ZLB environment. We design an economic model rich with banking features to understand the economic responses to permanent and long-term interest rate shocks. We find that responses to a permanent positive interest rate shock depend on the monetary authorities’ speculation of the new long-term inflation rate, with the most probable outcome being a permanent increase in inflation. Responses to a long-term positive interest rate shock depict an increase and then decrease in inflation. We also discover...

Learning Interpretable Representation of Drugs based on Microscopy Images

, M.Sc. Thesis Sharif University of Technology Sanian, Mohammad Vali (Author) ; Rohban, Mohammad Hossein (Supervisor)

Abstract

In this study, we aim to learn representations from microscopic cell images that effectively capture the features of drugs affecting the cells, allowing us to identify effective drugs for treating a disease. We employ two parallel learning paths using predictive and generative models. Specifically, we have achieved a predictive model on the RxRx19a dataset that, unlike previous models, is interpretable, optimized, and robust to dras- tic changes in drug properties. Additionally, we have developed the first generative model on this dataset, which not only generates high-quality images but also discovers a meaningful latent space. This latent space divides the representation into relevant...