Sharif Digital Repository

Kinetic hydrate inhibitor laboratory testing before field application is one of the key priorities in the oil and gas industry. The common induction-time-based technique is often used to evaluate and screen for kinetic hydrate inhibitors (KHIs). However, the main challenge relates to the stochastic nature of hydrate nucleation observed in fresh systems, which often results in scattered data on hydrate formation with unacceptable uncertainties. A much more precise KHI evaluation method, called crystal growth inhibition (CGI), provides comprehensive insights into the inhibitory behavior of a kinetic hydrate inhibitor, including both hydrate formation and decomposition. Given that industry does... 

The influence of equal channel angular pressing (ECAP) on microstructure and mechanical behavior, as well as, strain aging during ECAP and post-ECAP of Mg-1.8Zn-0.7Si-0.4Ca biomedical alloy was examined. The alloy in solid solution heat-treated condition was processed by ECAP with route BC at 350 and 400 °C. The specimens ECAPed at 350 °C were aged at 125 and 150 °C for different times. The hardness and shear punch test results indicated that performing ECAP at 350 °C for 4 passes increases the hardness and shear strength of the alloy from 48 HV and 110 MPa to 71 HV and 188 MPa, respectively. It was revealed that the average grain size of the alloy decreases from 78 µm to about 3 µm after 4... 

In a distributed system, each solution for the problem of Byzantine agreement requires that some of the correct processes reach a common decision value from a set of proposed values while Byzantine processes may behave arbitrarily. While the problem has been widely studied in fully connected fixed networks, few studies have been carried out in the context of self-organizing mobile networks such as mobile ad hoc networks. We present a randomized consensus protocol with three additional modules for the case of dynamic networks: participant detectors, failure detectors and maintainer. We assume an asynchronous network with unknown participants where processes can be fixed or move continuously... 

The global energy crisis and harmful effects of fossil fuel usage as well as the rapid rate of electricity price growth forces Data Centers (DCs) providers to install on-site Renewable Energy (RE). However, the huge installation investment, as well as fluctuating characteristic, impedes the widespread usage of RE. Reducing the break-even time of the required investment is a reinforcing economic incentive that complements the environmental incentive to further encourage DC Providers to use more RE. This paper takes advantages of an economic opportunity, namely the electricity pricing models, as well as a technological opportunity, namely the distributed Uninterruptable Power Supply (UPS)... 

In this paper, we consider the problem of multiuser detection in the presence of users with unknown signature codes for a synchronous coded CDMA system. Interference suppression for unknown users is done by projecting the received signal on the null space of known users and then using eigenvalue decomposition and subspace techniques to derive a detector that cancels the known interference and successfully mitigates the unknown interference. Significant performance gains over detectors that ignore unknown users and treats them as noise is achieved. © 2001 IEEE  

Optimal investment and operations of integrated local energy systems (ILESs) require medium to long-term prediction of energy consumption. To forecast load profiles, deep recurrent neural networks (DRNNs) are becoming increasingly useful due to their capability of learning uncertainty and high variability of load profiles. However, to explore and choose a DRNN model, out of conceivably numerous configurations, depends entirely on the performing task. In this regard, we tune and compare seven DRNN variants on the task of medium and long-term predictions for heating and electricity consumption. The ultimate DRNN model outperforms two state-of-the-art machine learning techniques, namely...