Sharif Digital Repository

Telework is an adaptable method for working which covers an extensive variety of work exercises in circulated associations comprised of people with robots and independent frameworks. From the levels of Nano and micro frameworks and gadgets the distance to the level of worldwide undertaking systems, beneficial work is reshaped by E-Work or Telework or Telecommute. The current work stresses on the part of learning administration as an empowering influence of E-Working standard. The four primary circles of information in e-Work related are: ‘‘e-Work”, ‘‘Integration , Coordination and Collaboration”, ‘‘Distributed Decision Support” and ‘‘Active Middleware”. Cloud computing can be distinguished... 

Polypropylene (PP) is a fast growing polymer, particularly in automotive industry, where PP compounds have replaced many different parts made of conventional materials. In the first step, PP-g-MA, as compatibilizer, was synthesized. Two kinds of polypropylenes including a homo- and a block co-polymer were incorporated for this goal. Characterizations via titration and FTIR tests revealed higher degree of grafting reaction when homo-polymer was used for synthesizing PP-g-MA. In the next step, nanocomposites containing 3 wt% nanoclay with three different PP-g-MA/nanoclay ratios of 1:1, 2:1 and 3:1were made using a co-rotating twin screw extruder. Tensile, impact and XRD tests were performed to... 

In this thesis, first we will have a brief review on hash functions and related concepts.Then, we will descibe the hash function, Cubehash, which is one of the competitors in the competition held by NIST for selecting SHA-3 standard. Next, we will describe an attack based on linearization of differential paths in hash functions and apply this attack on Cubehash. At the end, we will discuss the results of this attack on Cubehash  

In response to the growing energy consumptions levels in buildings, many countries have introduced standards and codes aimed at reducing their national building energy consumption levels as well as managing the amount of pollutants. Title 19 of Iran’s National Building Regulation (NBR) was first introduced in 1991. It is projected that Title 19 can lead to a 30 to 50% reduction in the amount of buildings energy consumption. Nevertheless, evidence suggests that the introduction of Title 19 NBR has not led to substantial reduction in building energy consumption in Iran. Unlike Title 19 NBR, similar standards in other countries have proven to be very effective in reducing the building energy... 

Chaotic Flow in transportation networks has been the subject of several studies. Evolutionary models have been employed to simulate traffic flows. This study takes advantage of an existing evolutionary model of traffic assignment to show that chaotic phenomena arise when the model’s driving force is speed or density, of traffic flow. It has been observed that drivers show higher sensitivity when the network is more loaded.

 

Today, building sectors account for 34% of total energy consumption in Iran. Increasing demand of the comfort level along with population growth necessitates much more attention about energy requirements in the country. Such phenomenon has already raised concerns about the heavy environmental impacts. The present research studies minimization of global warming potential effect for an educational building by developing life cycle optimization model. The Department of Engineering of Sharif University of Technology is selected as the case study and optimal solutions has been achieved for this building. Results state that implementing cogeneration and renewable energies can reduce20 -25% of the... 

In this thesis, we propose a new compressed-sensing-based algorithm for unmixing of hyperspectral data, and show that the reconstruction quality could be significantly improved. In addition, we illustrate that by utilizing this approach, we can achieve an approximate estimation of the Point Spread Function (PSF) of the hyperspectral images. In this way, we first assume that the PSF belongs to a specific family of functions, such as Gaussian, then, by sweeping the parameters of the assumed PSF, we obtain the abundance coefficient matrix of the reconstructed image. Now, by choosing the sparsest coefficient matrix as the best one, we estimate the corresponding PSF. Then, we further investigate... 

The subject of this thesis is about a certain set of algorithms that try to indirectly solve problems. Instead of a programmer crafting an algorithm to solve a problem, these algorithms learn a solution themselves. These methods are usually studied in the Probably Accurately Correct (PAC) learning model. Although, PAC Learning is a generally accepted model, it falls short to describe certain aspects of learning algorithms. Many learning methods rely on convergence to minimize error, or maximize their fitness, yet the PAC model doesn’t explicitly provide any means to measure these behaviours. In this thesis, we first go through different models related to computational requirements of... 

Semantic segmentation, a pivotal topic in computer vision, finds extensive applications across various domains. Leveraging deep networks to tackle this challenge necessitates a large dataset with pixel-level annotations, incurring significant time and cost for preparation. Weakly supervised semantic segmentation utilizes less expensive labels, such as image-level annotations, thereby circumventing the need for costly pixel-level annotations. Consequently, weakly supervised learning has garnered considerable attention. In recent years, vision transformers have achieved significant results compared to convolutional neural networks advancing the state of the art. However, employing vision...