Loading...
Search for:
ghadaksaz--hesam
0.108 seconds
Energy supply transformation pathways in Iran to reduce GHG emissions in line with the Paris Agreement
, Article Energy Strategy Reviews ; Volume 32 , 2020 ; Saboohi, Y ; Sharif University of Technology
Elsevier Ltd
2020
Abstract
Extensive dependence of the national economy on wasteful fossil fuel use as well as limited access to the international financial markets and the best available techniques over the strict economic sanctions period have hindered Iran from developing a sustainable energy system. By considering the reversal order, the present study investigated the least-cost options for improving energy efficiency and reducing GHG emissions in the energy supply sector. The essential purpose of this research work is to increase the evidence base necessary to inform policy and strategy discussions within Iran and related communities concerning the choice of GHG emissions reduction. Applying ARDL approach to...
Optimal Energy and Exergy Model of Waste Heat Recovery Systems in Cement Industry
, M.Sc. Thesis Sharif University of Technology ; Saboohi, Yadollah (Supervisor)
Abstract
Nowadays, cement has become the cornerstone of any modern society especially in developing countries. But, cement production process is highly energy intensive and emits significant volumes of carbon dioxide.According to the latest reports, Iranian cement industry accounts for about 14.5% of total industrial sector’s energy consumption and this indicates the importance of sustainable development for cement industry concerning national energy and environmental constraints.Based on these facts, current study assesses the technology improvement opportunities particularly waste heat recovery power generation (WHRPG) technology for Iranian cement industry. This needs identifying optimized mass...
Developing a Model to Assess the Optimal Utilization of Energy Resources in the Context of Sustainable Energy Development
, Ph.D. Dissertation Sharif University of Technology ; Saboohi, Yadollah (Supervisor)
Abstract
Sustainable development of the energy system requires policies for ensuring reliable access to energy services with the lowest economic and environmental costs. Despite owning abundant reserves of fossil resources, Iran has witnessed an imbalance in the supply and demand of energy carriers, especially gas, gasoline, and electricity, over the past years. Within a comprehensive and detailed research, the optimal pattern of utilizing non-renewable energy resources along with renewables is evaluated in the context of sustainable energy development. The developed tool based on the integrated assessment approach can be used as a scientific analytic measure for the implementation of the desired...
Dynamic modeling and sensitivity analysis of atomic force microscope pushing force in nanoparticle manipulation on a rough substrate [electronic resource]
, Article Journal of Advanced Science, Engineering and Medicine ; 2013, Vol. 5, pp. 1-10 ; Mahboobi, Seyed Hanif ; Meghdari, Ali ; Sharif University of Technology
Abstract
An Atomic Force Microscope (AFM) is a capable tool to manipulate nanoparticles by exerting pushing force on the nanoparticles located on the substrate. In reality, the substrate cannot be considered as a smooth surface particularly at the nanoscale. Hence, the particle may encounter a step on the substrate during a manipulation. In this study, dynamics of the nanoparticle on a stepped substrate and critical pushing force in the manipulation are investigated. There are two possible dynamic modes that may happen in the manipulation on the stepped substrate. In one mode, the nanoparticle may slide on the step edge and then climb up to the step which is a desired mode. Another possible mode is...
Classification of vascular function in upper limb using bilateral photoplethysmographic signals
, Article Physiological Measurement ; Volume 29, Issue 3 , 2008 , Pages 365-374 ; 09673334 (ISSN) ; Zahedi, E ; Jajai, H. M ; Sharif University of Technology
2008
Abstract
Bilateral PPG signals have been used for comparative study of two groups of healthy (free from any cardiovascular risk factors) and diabetic (as cardiovascular disease risk group) subjects in the age-matched range 40-50 years. The peripheral blood pulsations were recorded simultaneously from right and left index fingers for 90 s. Pulses have been modeled with the ARX440 model in the interval of 300 sample points with 100 sample points overlap between segments. Model parameters of three segments based on the highest fitness (higher than 80%) of modeled segments were retained for each subject. Subsequently, principal component analysis (PCA) was applied to the parameters of retained segments...
VoIP users’ Quality of Experience (QoE)Evaluation
, Ph.D. Dissertation Sharif University of Technology ; Jahangir, Amir Hossein (Supervisor)
Abstract
Quality of Experience (QoE) indicates the overall quality of one service such as Voice over IP (VoIP) from users' point of view by considering several systems, human, and contextual factors. QoE measurement and prediction are more challenging than Quality of Service (QoS) which is only related to network parameters. There exist various objective and subjective methods for QoE prediction. This research investigates various features affecting QoE by proposing a comprehensive subjective evaluation by employing a large number of users. We show that many unconsidered factors including speaker specifications and signal properties, such as signal-to-noise ratio (SNR), can affect QoE so that the SNR...
Toward a comprehensive subjective evaluation of VoIP users’ quality of experience (QoE): a case study on Persian language
, Article Multimedia Tools and Applications ; Volume 80, Issue 21-23 , 2021 , Pages 31783-31802 ; 13807501 (ISSN) ; Jahangir, A. H ; Hosseini, S. M ; Sharif University of Technology
Springer
2021
Abstract
Quality of Experience (QoE) measures the overall quality of a service from users’ point of view by considering several system, human, and contextual factors. There exist various objective and subjective methods for QoE prediction. Although the subjective approach is more expensive and challenging than the objective approach, QoE’s level can be more accurately determined by a subjective test. This paper investigates various features affecting QoE by proposing a comprehensive subjective evaluation. First, we show that many unconsidered factors can significantly affect QoE. We have generated voice samples featuring different values for novel factors related to the speaker, signal, and network....
Prediction of Rolling Element Bearings Degradation Trend Using Limited Data
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Arghand, Hesam Al-din (Co-Supervisor)
Abstract
Condition monitoring of machinery is of significant economic importance to mitigate production losses resulting from downtimes. Unforeseen failure of roller element bearings is the most common issue observed in industrial units. However, detecting and tracking the progression of these failures through machine vibration monitoring and predicting the deterioration of these rotating components are viable solutions. Numerous studies have focused on using laboratory accelerated life test data for fault detection and remaining useful life prediction of these components. While online monitoring of all equipment in the industry may not be feasible, and conditions in the field differ from laboratory...
Intelligent Fault Diagnosis using Multiple Sensor Data Fusion for Detecting Misalignment and Unbalance
, M.Sc. Thesis Sharif University of Technology ; Behzad, Mehdi (Supervisor) ; Arghand, Hesam Al-Din (Co-Supervisor)
Abstract
Intelligent predictive maintenance is recognized as a cornerstone of Industry 4.0, where intelligent software is employed for the early detection of faults and the prevention of unexpected failures. Recent research indicates that the integration of multi-sensor data for fault diagnosis of gearboxes and bearings, using artificial intelligence models, has been successful. However, conventional methods face several challenges. These include an over-reliance on the signal characteristics of a single sensor and the impracticality of applying intelligent learning methods, particularly deep learning, despite their high potential, due to the unavailability of sufficiently large and diverse...