Sharif Digital Repository

Image segmentation is middle and an important task in image analysis and machine vision applications. The output images of imaging systems are often fuzzy because of noise, limitation in spatial and temporal resolution, blurring and intensity inhomogeneity in the objects. The goal of this thesis is exploring the fuzzy methods in multispectral image segmentation and proposing a new one to solve some of the recent difficulties and problems. The difficulties and problems such as simultaneous utilization of spatial and spectral information, necessity for dimension reduction, spatial and spectral and intra-cluster image information redundancy, existence of regions with widely varying size,... 

The airport terminal is difficult to plan and design due to the different components and the intricate complexity of its parts. At the airport terminal, we face a queue system which simulation is always a good way to analyze. In addition, computer simulation using modern softwares with the capability to model different types of systems, including the airport terminal, while being less realistic than analytical models, is less costly than operational Exercise.In this study, a supportive approach for better and specific management of Iranian airport terminal buildings with discrete-event simulation is proposed, considering the need for managing the airport terminals building in the country and... 

Embedded SRAM unit is recognized as an important block in the systems on chip. In recent years due to an abrupt increase in the number of such systems which often work with battery, the priority of designing of low power circuits has been increased. Furthermore, increase in the number of transistors in the SRAM and increase in leakage current of MOS transistors with technology scaling have rendered the SRAM into the main energy consumer (from both static and dynamic view).In the writing operation due to the full swing of bit line, the dynamic power forms the main chunk of the consumptive power. The static consumptive power mostly happens due to the leakage current of broken cells in an array... 

The extended drought in the Orumieh River Basin has caused severe problems for Orumieh Lake. Due to the fact that agriculture is the biggest user of water resources in this region, effective management of groundwater and surface water resources plays an important role in management of Orumieh lake`s condition. In this situation, “water trading” by designing an efficient “smart market” seems to be a viable option; A market with lower transaction costs which can be adaptable to changing demands and being able to optimize economic benefit within the environmental constraints. This market works by reallocating water among users who intend to sell their excess water and those who prefer to buy... 

Limited water resources in Iran have made dams an important part of the country’s infrastructure. As a result of the large number of in-progress and expected dam projects in the country, consideration of sustainability factors during planning, construction and operation phases of dam projects can create significant economical, social and environmental impacts in the long term. To come up with an inclusive sustainable development, new sustainability assessment approaches seek for sustainable development at the entire project’s life-cycle; they are looking for sustainable development at all design, construction, operation, maintenance and even demolition phases. In this research we have... 

The Initial Coin Offering (ICO) market, as a novel fundraising method on the blockchain technology platform, despite its considerable potential, is associated with high risk and severe Information Asymmetry, which makes informed decision-making difficult for investors. This research aims to reduce this uncertainty by designing and evaluating a machine learning model to predict the success of ICO projects. In this study, "success" was defined as an objective and measurable criterion: the project's token being "listed on at least one Top-Tier Exchange." To build the model, a comprehensive dataset of approximately 5,500 projects was collected via the Dropstab website's API and by text analysis...