Sharif Digital Repository

Globalization and high rate development in all categories of scientific fields have become a very substantial motive to make effort in R&D affairs all over the world. Therefore, the high volume of investment in this area and Also the importance and urgency of R&D according to economical development statistics and its mutual and close relation with it specially in context of Iran, it is necessary to establish an effective tool to recognize gaps and bugs of subsystems working in the area using high volume investment so as to improve the position of each section of the total body of industry in this regard.

 

Around world and the networks within it can be modeled in various templates. Graph structure is one of those templates in which objects and relations may have more than one types. We call this phenomenon "heterogeneity".Heterogeneity makes the networks hard to model and that is why the proposed methods for modeling the networks assumed the network structures homogeneous. This assumption may cause data loss due to ignoring the variety of types in network objects and relations and this loss can lessen the accuracy of data mining tasks.To tackle the challenge of data loss in the mentioned assumption, learning representations for heterogeneous information networks (HINs) was introduced. HINs... 

Energy system of each country include of extraction, processing, conversion, transportation and distribution levels. Crude oil is one of the energy carrier which has dominant share to meet energy demand in industry and transportation sectors. Therefore, studying of physical properties changes of this energy carrier during production period is obligatory. The goal of this research is to model quality reduction of crude oil during production period of naturally occurring reservoirs. In this research quality of crude oil has been investigated inside of reservoir and after production and the effect of quality changes in before mentioned conditions according to cumulative production of reservoirs... 

In this study, the linear dynamic response of an inclined FGM Timoshenko beam on linear viscoelastic foundation subjected to a traveling mass with constant and variable velocity is investigated. Timoshenko beam theory and von-karman strain-displacement relations are utilized to model the problem. the FGM beam is made of metal and ceramic and it is assumed that material properties of the beam vary continuously in the thickness direction according to the exponential law and the power-law form. The kelvin-voigt damping model is applied to model the internal damping of the FGM beam. The partial differential equations of motion for the bending rotation of cross-section, longitudinal and... 

This thesis studies the effect of soil-structure interaction on the seismic performance of structures with due account of uncertainties. The motivation for this study stems from the significant uncertainty in the earthquake ground motion and in the properties of the soil and the nonlinear behavior of the structure. The soil-structure system is modeled by the sub-structure method. The uncertainty in the properties of the system is described by random variables that are input to this model. Monte Carlo sampling is employed to compute the probability distribution of responses that describe the seismic performance of the structure, such as the ductility demand. In each sample, a randomly... 

With the continuous development of networks and communication technologies, security evaluation of cryptographic primitives, including block ciphers, which serve as the foundation for securing numerous communication protocols in these networks and technologies, has become more crucial than ever before. Inadequate security at block ciphers endures a risk to the overall security architecture of a system. Therefore, significant attention has been devoted to the development of methods for breaking and evaluating the security of block ciphers, known as cryptanalysis. In this thesis, we investigate division property-based integral cryptanalysis, which is one of the latest distinguisher-based... 

The epidemic of Covid 19 has killed millions of people worldwide. Despite the efforts of scientists around the world, there is still no cure for this disease. Approval of newly designed drugs due to clinical trial periods is time-consuming and costly. For this reason, in the current emergency situation, it is important to have a solution for screening available approved drugs in order to find effective substances for this disease.High-throughput assays are a good option for such problems. In this field of research, image-based high-throughput assays are amongst the most effective and cost-effective methods that help quantify the response of treated cells by measuring cell...