Sharif Digital Repository

The aim of this research was estimation of investment-specific technological change, using industrial database which is published annually by Bureau of Statistics of Iran. Investment-specific technological change is the quality improvement of investment in capital goods during the time. Before estimation of this rate, production function (regarding 130 industrial activities and during 14 years, 1994-2007) was estimated. All industries classified in 4 groups based on the level of technology used in them. Then factor’s production elasticities were compared between different groups of industries. The results showed that in high-tech industries the elasticities of skilled workers, import and... 

International co-movements of oil exporting countries macroeconomic aggregates especially in production are different from developed countries counterparts. Between those negative production co-movement of oil exporting and developed countries is most important. In this article we first test this countercyclical co-movement in production and set it as stylized fact. Besides, by studying consumption and investment co-movements, we find other international business cycles stylized facts as well. Then by constructing two country model for oil exporting and developing country pair we present an answer for “why is so?” The model replicates real data well in ordering of the correlations. This... 

The seasonal fluctuations in economics variables relate to the different behavior of economic agents across different seasons. In past, seasonality has been viewed as a redundant feature that needs to be removed from data before economic analysis. From 1988, modeling seasonality has become the major concern of many economists; moreover, it was seen that many economic analysis and forecasts could be flawed if seasonality is ignored. In the present research, periodic times series approach is used for the first time in modeling the seasonality feature of the housing market. Regarding the importance of the housing sector in economy from micro and macroeconomic points of view, using a more... 

Institution covers wide range of rules, laws and policies. Two bodies of literature around institutions and resource curse have evaluated institutional quality by limited indices. In addition, although different institutions have different effects on economy, the literature hasn’t classified different kinds of institution. Furthermore, resources can affect institutions in different ways. This research has been surveyed the impact of resource dependence on institutional quality. Institutions that regulate relation between governors and citizens were named governmental institutions. Institutions that regulate the relation of citizens were named nongovernmental institutions. Governmental... 

Government intervention in markets may go beyond the market regulation. Interventions may cause some idiosyncratic price distortions. It means the relative prices of factors to become different among firms. Therefore, micro conditions for firms will be changed. These will result in misallocation of factor production between firms and change in manufacturing TFP. According to data from about 14000 medium and small industrial firms in Iran, removing misallocation of production factors (capital and energy) and output idiosyncratic distortions between industrial firms would result in 115 percent increase in manufacturing TFP.

 

Although technological specialization has been recognized as a stimulating factor of international trade (Ricardian theory), new approaches emphasize the endogeneity of technological heterogeneity across countries. Following them, we proceed to examine the effect of free trade on technological differences among 20 OECD members during 1996-2008. We first use the model of Eaton and Kortum (2002) to obtain an annual estimate of technological heterogeneity within the OECD group. We then analyze the behavior of this index facing international trade statistics in the same period. The results show that the OECD countries have been experienced a technological convergence, thanks to a boost in the... 

The importance of New Product Development (NPD) projects has been realized more and more in recent years. Among different decisions to be made in NPD process, one of the most critical decisions is about the best time to launch new product(s). Due to existence of many internal and external influential factors, determining the optimal launch time is often too complicated and it is quite hard to systematically analyze it. Despite risky nature of NPD, risk considerations in determining the optimal launch time have not been addressed in literature due to the mentioned complexity. In this research, we developed a model that takes in to account risk considerations while systematically determining... 

This research has been surveyed the impact of intermediate skilled and high skilled human labor force on the productivity of manufacturing sectors by the Nelson & Phelps and also Lucas approaches. first model is related to the level of productivity and the second model is related to the growth of it. We has been prepared the needed statistics from the raw figures of iran statistics center. regression analysis has been done on the basis of panel data model by the use of stata software. the results show that not good efficiency to optimize technology factor of Cobb-Douglas model although it shows higher marginal labor productivity of high skilled human labor force. we has proposed some... 

Risk management is one of the most important topics in banking. Risk management in banking is divided to several categories including credit risk. Credit risk is also divided to individual credit risk and portfolio credit risk. In Iran many of banks have worked on individual credit risk models, but few of them have worked on portfolio models because these models have developed only in recent years. In our project we present three categories of credit risk models and then analyze the data of a private bank in Iran with CreditPortfolioView model. In CreditPortfolioView model, macroeconomic parameters are used to analyze the correlated behavior of individuals as a benchmark in different... 

English language is peppered with phrasal verbs (PhVs) and native speakers use them frequently and endlessly in daily life. However, due to various semantic and syntactic difficulties, polysemy, unpredictability, and learners’ L1 differences, this omnipresent aspect of English language morphology poses formidable challenges for learners in terms of fluency and accuracy, and leads them to resort to avoidance strategies. The problem has also been exacerbated with the arbitrariness of PhVs’ teaching methods prescribed by various textbooks. In order to shed more light on the ongoing debate over implicit and explicit types of instruction as two viable approaches to tackling PhVs, this study aimed... 

Vocabulary knowledge is one of the main building blocks in the process of learning a new language and presents many challenges to language learners. Using computer software and online programs is suggested as possible approaches for overcoming some of these challenges. In the present study, the researcher attempted to study the effect of creating and sharing different sets of online flash cards on the use of vocabulary items among Iranian English for Academic Purposes (EAP) students. Thirty-nine university students in two groups participated in this study (29 males, 10 females). One group were instructed to create online flash cards containing the definitions of words and their synonyms and... 

Crop classification is one of the most important applications of remote sensing in agriculture. Knowing what crops are on the farm is invaluable both on a micro and macro scale. For example, this information can be used to design and imple- ment agricultural policies, product management and ensure food security. Also, this information can be used as a prerequisite for implementing other programs at the farm scale, such as monitoring and detecting anomalies during the crop growth cycle. Most of the studies in this field are focused on the optical data of the Sentinel-2 satel- lite, but the optical data are vulnerable to atmospheric conditions, and on the other hand, there is valuable... 

Sample efficiency and systematic generalization are two long-standing challenges in sequential decision-making problems, especially, in reinforcement learning settings. It is hypothesized that involving natural language in conjunction with other observation modalities in decision-making environments can improve generalization due to its compositional and open-ended nature, and sample efficiency due to the concise information summarized in relatively short linguistic units. By exploiting this information and the compositional structure of the language, one can achieve an abstract and factored understanding of the environment and the task at hand. To do so, it is necessary to find the proper... 

Convolutional neural networks (CNNs) are at the heart of several machine learning applications, while they suffer from computational complexity due to their large number of parameters and operations. Recently, all-optical implementation of the CNNs has achieved many attentions, however, the recently proposed optical architectures for CNNs cannot fully utilize the tremendous capabilities of optical processing, due to the required electro-optical conversions in-between successive layers. Therefore, in our first study, we proposed OP-AlexNet which has five convolutional layers and three fully connected layers. Array of 4f optical correlators is considered as the optical convolutional layer,... 

A software product line is a set of products with common features. The design of this set is such that the core assets that are common features between products are implemented only once. All products in the product line use the core assets to reduce development costs. The number of products that can be produced in a software product line is exponential to the number of capabilities in the core assets and the set is very large, so the cost of testing the software product line will be very high. In the software product line testing, various methods have been provided to reduce costs, among which we can mention product prioritization and regression test techniques. In prioritization, the... 

Quality Assurance is one of the crucial steps in software production and should be repeated. These days, software companies are using continuous integration (CI) pipelines for building software and controlling software quality. Regression test, is a test which is performed after each change in software, to assess the quality of the software system and its ability to meet functional and non-functional needs. Each execution of this test, leads to infrastructure costs and a waste of time for the software development team. The reason is that the development team has to wait until the test is completed to ensure that the changes are correct. To reduce this cost, methods such as prioritizing and... 

Software Product Line (SPL) is an approach used to develop a range of software products with a high degree of similarity. In this approach, a feature model and a reference architecture are usually used to keep track of similarities and differences. Each product of the SPL has their own architecture too. Software Architecture (SA) generally has a considerable influence on software quality attributes. Coordination of software architecture to the requirements of the stakeholders and avoiding common mistakes and faults in designing SA increases the chance of success of the project and satisfaction of the stakeholders. Making the wrong decisions during the architectural design phase usually... 

In the current decade there has been research works around adopting agile methodologies for software product line engineering. However, the emphasis has been on the process part of the methodology and the main product which is the source code has been neglected.The prevalent modeling and implementation method of software product line is the featureoriented method. The concept of ”Feature-to-code mapping” is introduced in the implementation phase which recently novel approaches have been proposed to realize it.Despite superiority of the novel approaches in this field, prevalent industrial product lines still use C language and map features to code by leveraging traditional preprocessors of C... 

During past decade, human pose estimation has become a very important topic in computer vision with many applications; such as robotic, human computer interaction, and analyzing sport videos. Pose estimation is the process of estimating the configuration of the body joints from one or more images. Pose estimation in 2D space has been performed by processing of the images of a single camera. Recently, the multi-view methods have been emerged to estimate 3D human pose.The purpose of this thesis is 3D human pose estimation from multi-view images, captured in football matches. Pictorial structure is an efficient method in 2D human pose estimation. The 3D extension of this method is studied in...