Sharif Digital Repository

This research presents an integrated approach for the joint selection of DevOps maturity models, capabilities, practices and tools based on organizational outcomes. The study begins with a systematic and multivocal literature review, through which key concepts and their relationships are extracted and normalized, enabling the construction of mapping in the form of outcome → capability → practice → tool. A scoring and prioritization mechanism is then designed, incorporating semantic relevance, textual evidence, co-occurrence patterns and structural constraints. The approach further leverages retrieval-augmented generation to rank alternative transformation pathways aligned with organizational... 

In plant-wide systems, faults can easily propagate due to the interconnection of streams. The main objective of this paper is to develop a systematic framework for online decision support system (DSS) in order to make the right decision to get the process out of critical conditions (which cannot be handled by the plant controllers) smoothly. One of the key features of the proposed approach is its lack of dependence on prior knowledge of the fault signals (e.g. number of faults, and their origin). In the proposed scheme, the plant is modeled by a fuzzy directed graph (FDG). The proposed scheme utilizes a backward reasoning based on the deviations that exists in the process variables... 

Robots were designed to aid humans in tasks that were repetitive and/or dangerous. Classical robotic control methods (such as PIDs) show little adaptability in difficult tasks. Deep reinforcement learning is a machine learning approach for finding an optimized agent via trial and error. This research explores the application of deep reinforcement learning (DRL) algorithms to perform a pick and place task with a robotic arm attached to a moving platform. The study focuses on the use of state-of-the-art RL algorithms, including Truncated Quantile Critics (TQC) and Hindsight Experience Replay (HER), to train an agent in a simulated environment. The paper discusses the robotic environment, the... 

In 2023, global gas flaring at upstream oil and gas facilities reached its highest level in the past five years, with a 7% increase compared to the previous year. Iran, which is the second-largest flare of gas in the world after Russia, saw the largest increase globally, with a 19% rise in flaring volume. On the other hand, while offshore fields have accounted for about 12% of Iran's total oil production over the past decade, these fields have contributed to nearly 40% of the country’s total gas flaring. This study explored the feasibility of four methods for recovering flared gas from Iran’s offshore fields, including: transporting flared gas to land for sale as raw gas, transporting it to... 

In recent decades, the air pollution issue and fuel resource constraints have compelled researchers to find ways to replace fossil fuels or reduce their consumption. Since the Vehicles are one of the most important sources of pollution and energy consumer, efforts to reduce vehicles fuel consumption can be an effective action to reduce air pollution. A proper powertrain system has an important task to reduce fuel consumption and air pollution.
Uses of continuously variable transmission system (CVT) and infinitely variable transmission (IVT), which makes the internal combustion engine to operate in optimal condition, can help to achieve this goal. In this thesis, the target is find... 

Aside from many advantages of minimally invasive surgery, it has some drawbacks. Surgeons` loss of dexterity dexterity, lack of force feedback and the consequent reduced sensation of forces are some of these drawbacks. Also, surgeons` ergonomically inappropriate posture gets him fatigued, causing hand tremor which is furthermore magnified by the long instruments. Robotic surgery systems have overcome some of minimally invasive surgeries limitations. But still some drawbacks such as high cost of maintenance or lack of haptic force feedback have impeded their widespread application. The high cost of maintenance is mostly caused by instrument changing and sterilization.The main goal of this... 

Almost all of the animal slaughter is done in slaughterhouses. Environment concerns about slaughterhouse industries have been increased as increase in their production. In this study, a DAF+SBR system was used for treatment of industrial slaughterhouse wastewater and efficiency of this system was evaluated.In DAF, we used anionic polymer and PAC as coagulant. We reached best composition in 2 ppm of AP and 200 ppm of PAC. After that DAF system run in different pressures to estimate the best operational pressure & A/S. Best operational pressure and A/S is 4 bar and 0.038. After pretreatment, biological treatment by using SBR reactor was carried out. The results of the SBR reactor showed that...